Reliability based approach for structural design and assessment performance criteria and indicators in current European codes and guidelines_Stefania Arangio
This document discusses reliability-based approaches for structural design and assessment based on performance criteria and indicators in current European codes and guidelines. It is organized into three parts that discuss general aspects of structural design, performance indicators for assessing existing structures, and the concepts of robustness and dependability in structural systems. The document advocates for a system engineering approach to structural design that considers structures as complex systems and decomposes them into interconnected elements and components. Key concepts discussed include performance-based design, structural system quality management, and reliability-based design criteria.
The document discusses semantic standards and quality models for assessing semantic standards. It proposes a Quality Model of Semantic Standards (IQMSS) that evaluates standards across three dimensions: (1) Product Quality focuses on the content and specification of the standard, (2) Process Quality examines how the standard is developed and maintained, and (3) Quality in Use looks at how the standard is applied and implemented. The IQMSS provides measurable concepts and definitions to evaluate standards in a transparent, consistent manner and help improve their quality over time.
The document discusses an architecture modeling methodology for model-based systems engineering projects. It involves developing hierarchical architecture models, using the models to derive requirements, and tracing requirements to model elements. The methodology includes context diagrams to illustrate physical elements outside the system, decomposing physical and operational/functional elements, and using operational scenarios to develop mission operations and system functions. The modeling approach aims to generate a complete picture of the architecture and stakeholder problem.
Multicriteria model to improve the use of performance evaluation instruments ...Edilson Giffhorn
1) The document presents a process for improving the use of performance assessment instruments to better identify, organize, measure, and utilize performance indicators.
2) It explores ways to improve the identification and construction of performance indicators to provide a greater chance of achieving strategic objectives through the selected tools.
3) The research involved reviewing 35 articles to establish a theoretical framework and identify best practices for a multicriteria model to enhance performance evaluation.
The document discusses a study comparing the learning styles of the author's students to his teaching style. An analysis found that the students had two major learning styles - one preferred hands-on activities and group work, while the other preferred theoretical and individual work. The author's teaching goals and methods better matched the first group. He concluded that he needs to accommodate both styles by adding new experiences and balancing individual and group tasks.
Dr. Fred Baynes discusses sources of geotechnical risk in construction projects. He notes that cost or time overruns occur on 20-50% of projects. While ground conditions can pose risks, he argues that project staff are likely a greater source of risk if they do not properly understand the ground conditions. Different types of geotechnical risks include poor project management, contractual issues, unreasonable analytical models or design values, and unforeseen geological details. However, risks can be systematically managed through techniques like comprehensive site investigations and ensuring project staff have proper training and education to understand the site's geotechnical challenges.
Sbuf 11194 slutrapport management of geotechnical risks in infrastructure pro...rajapower
The document provides an introductory study on the management of geotechnical risks in infrastructure projects. It includes a literature review on risk and risk management concepts as well as a study of the risk management process in three infrastructure projects. The literature review revealed shortcomings in current risk management methods, including a lack of consistency, an "illusion of certainty", and a focus on easily quantifiable risks. A successful management of geotechnical risks requires early risk identification, communication to all actors, monitoring during project execution, and ensuring risk handling actions are fully defined and implemented. The roles of the client, designer, and contractor in effective risk management are also discussed.
This document discusses the statistical reliability of levee design data and analyzing levee stability and seepage along an entire levee reach rather than a single location. It presents a method to characterize site conditions at numerous locations, analyze the levee for stability and seepage at each location, and plot the results in a cumulative distribution to assess risk. Limitations include assumptions about soil layers and parameters as well as not addressing recurring seepage or animal burrows. Further research could model repair options, study the slope of the cumulative probability line, and look at combined probabilities of failure versus flood events.
Reliability Maintenance Engineering 3 - 2 Root Cause AnalysisAccendo Reliability
Reliability Maintenance Engineering Day 3 session 2 Root Cause Analysis
Three day live course focused on reliability engineering for maintenance programs. Introductory material and discussion ranging from basic tools and techniques for data analysis to considerations when building or improving a program.
The document discusses semantic standards and quality models for assessing semantic standards. It proposes a Quality Model of Semantic Standards (IQMSS) that evaluates standards across three dimensions: (1) Product Quality focuses on the content and specification of the standard, (2) Process Quality examines how the standard is developed and maintained, and (3) Quality in Use looks at how the standard is applied and implemented. The IQMSS provides measurable concepts and definitions to evaluate standards in a transparent, consistent manner and help improve their quality over time.
The document discusses an architecture modeling methodology for model-based systems engineering projects. It involves developing hierarchical architecture models, using the models to derive requirements, and tracing requirements to model elements. The methodology includes context diagrams to illustrate physical elements outside the system, decomposing physical and operational/functional elements, and using operational scenarios to develop mission operations and system functions. The modeling approach aims to generate a complete picture of the architecture and stakeholder problem.
Multicriteria model to improve the use of performance evaluation instruments ...Edilson Giffhorn
1) The document presents a process for improving the use of performance assessment instruments to better identify, organize, measure, and utilize performance indicators.
2) It explores ways to improve the identification and construction of performance indicators to provide a greater chance of achieving strategic objectives through the selected tools.
3) The research involved reviewing 35 articles to establish a theoretical framework and identify best practices for a multicriteria model to enhance performance evaluation.
The document discusses a study comparing the learning styles of the author's students to his teaching style. An analysis found that the students had two major learning styles - one preferred hands-on activities and group work, while the other preferred theoretical and individual work. The author's teaching goals and methods better matched the first group. He concluded that he needs to accommodate both styles by adding new experiences and balancing individual and group tasks.
Dr. Fred Baynes discusses sources of geotechnical risk in construction projects. He notes that cost or time overruns occur on 20-50% of projects. While ground conditions can pose risks, he argues that project staff are likely a greater source of risk if they do not properly understand the ground conditions. Different types of geotechnical risks include poor project management, contractual issues, unreasonable analytical models or design values, and unforeseen geological details. However, risks can be systematically managed through techniques like comprehensive site investigations and ensuring project staff have proper training and education to understand the site's geotechnical challenges.
Sbuf 11194 slutrapport management of geotechnical risks in infrastructure pro...rajapower
The document provides an introductory study on the management of geotechnical risks in infrastructure projects. It includes a literature review on risk and risk management concepts as well as a study of the risk management process in three infrastructure projects. The literature review revealed shortcomings in current risk management methods, including a lack of consistency, an "illusion of certainty", and a focus on easily quantifiable risks. A successful management of geotechnical risks requires early risk identification, communication to all actors, monitoring during project execution, and ensuring risk handling actions are fully defined and implemented. The roles of the client, designer, and contractor in effective risk management are also discussed.
This document discusses the statistical reliability of levee design data and analyzing levee stability and seepage along an entire levee reach rather than a single location. It presents a method to characterize site conditions at numerous locations, analyze the levee for stability and seepage at each location, and plot the results in a cumulative distribution to assess risk. Limitations include assumptions about soil layers and parameters as well as not addressing recurring seepage or animal burrows. Further research could model repair options, study the slope of the cumulative probability line, and look at combined probabilities of failure versus flood events.
Reliability Maintenance Engineering 3 - 2 Root Cause AnalysisAccendo Reliability
Reliability Maintenance Engineering Day 3 session 2 Root Cause Analysis
Three day live course focused on reliability engineering for maintenance programs. Introductory material and discussion ranging from basic tools and techniques for data analysis to considerations when building or improving a program.
Reliability-based design of pile foundations Desh Sonyok
Reliability based design (RBD) refers to any design methodology that are based on a rigorous reliability analysis. RBD is the only methodology available to date that can ensure self-consistency from both physical and probabilistic requirements and is compatible with the theoretical basis underlying structural design (Kulhawy & Phoon, 2002). It is considered as fundamental theoretical basis for all Load and Resistance Design (LRFD) and is capable of mitigating numerous logical inconsistencies inherent in current geotechnical design.
The document discusses site investigation methods for civil engineering projects. It describes common stages in a site investigation including desk study, site reconnaissance, field investigations involving preliminary and detailed ground investigation, laboratory testing, and report writing. Various field investigation techniques are discussed such as test pits, boreholes, and shafts. The importance of determining subsurface soil conditions and groundwater levels is emphasized. Key considerations for site investigations include project type and reliability needed.
Bridges are vulnerable to extreme events such as natural disasters in addition to hazards stemming from negligence and improper maintenance, overloading, collisions, intentional acts of vandalism, and terrorist attacks. These structures must be protected but the current approach to risk is not always rational. Sensitivity analysis will be performed to relate the reliability of bridges and reliability of the transportation network.
1 structural reliability theory and its applicationsbihero_114
This document provides an introduction to and summary of the book "Structural Reliability Theory, and Its Applications" by Palle Thoft-Christensen and Michael J. Baker. The book aims to bring together the major components of structural reliability theory in order to provide a comprehensive overview for newcomers to the field. It covers topics such as probability theory, reliability analysis methods, structural systems reliability, load combinations, and applications to code development and offshore structures. The book serves as a textbook with examples and exercises, but does not attempt to cover all aspects of structural safety.
A Practical Reliability-Based Method for Assessing Soil Liquefaction PotentialCes Nit Silchar
Lecture Topic: A Practical Reliability-Based Method for Assessing Soil Liquefaction Potential
By Prof. Jin-Hung Hwang of National Central University, Taiwan.
Fault tolerance refers to a system's ability to continue operating correctly even if some components fail. There are three categories of faults: transient, intermittent, and permanent. Fault tolerance is achieved through redundancy, including information, time, and physical redundancy. Reliability is the probability a system will function as intended for a given time. It depends on design, components, and environment. Reliability increases through quality control and redundancy. Maintainability is the probability a failed system can be repaired within a time limit. Availability is the probability a system will be operational when needed. Series systems fail if any component fails, while parallel systems fail only if all components fail.
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...Mintu Choudhury
This document discusses modeling a reinforced concrete frame building for seismic analysis. It describes modeling the building using frame elements in SAP 2000. Key elements include:
- Modeling beams and columns as frame elements
- Considering the building's diaphragm, which can be rigid, semi-rigid, or flexible
- Performing modal analysis to determine the building's vibration modes and periods
- Conducting response spectrum analysis and comparing results to the equivalent lateral force method
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
The following presentation covers the basics of Software Architecture and the related topics. Most of the information provided is given in short phrases. Refer to Wikipedia article on the same for more information.
This is meant to be a brief slideshow only.
Being a very brief history of how "architecture" become a thing in software, and of how it delivers on its core claim to fame, which is:
Enabling you to Reason & Calculate about quite vague "Quality" requirements and thereby to achieve confidence of a successful system and happy customers
Design Knowledge Gain by Structural Health MonitoringFranco Bontempi
1. Structural health monitoring plays an essential role in performance-based design by improving knowledge of the structural system and allowing reliable evaluations of structural safety during operation.
2. SHM should be planned during the design phase and carried out throughout the structure's lifecycle to gain two levels of design knowledge: locally for a specific structure, and globally for similar structure types.
3. Dependability is a concept that can effectively evaluate the overall quality of a complex structural system, considering attributes like reliability, safety, and maintenance over the system's lifecycle. SHM helps assess dependability.
Towards a framework for making applications provenance aware: UML2PROVUniversidad de La Rioja
The document presents a systematic review of provenance systems. It defines a taxonomy for characterizing provenance systems based on general aspects, provenance characteristics, and non-functional requirements. The taxonomy is used to analyze and compare 25 provenance systems. Key findings include identifying open research problems in provenance systems. The review aims to provide a unified understanding of provenance systems and motivate the definition of the UML2PROV framework to bridge application design and provenance design.
The document discusses software architecture, where it comes from, and what it is. Architectures are influenced by system stakeholders and their requirements, the developing organization, and the architects' experience. An architecture defines elements, their relationships, and properties. It is important because it represents early design decisions, dictates implementation, organizational structure, and quality attributes. Architectural patterns, reference models, and reference architectures capture common architectural elements but are not full architectures themselves.
The document presents a taxonomy for performance assurance methodologies applied across three stages of developing high performance computer architectures: high-level performance, RTL performance, and silicon performance. The taxonomy includes independent performance assurance spaces for each stage as well as correlation spaces between stages. It provides insight into the coverage and limitations of tools/methods at each stage. The taxonomy is intended to help manufacturers deliver high performance architectures by providing a framework to assess risks, identify gaps, and plan detailed performance assurance.
The document presents a taxonomy for performance assurance methodologies applied across three stages of developing high performance computer architectures: high-level performance, RTL performance, and silicon performance. The taxonomy includes independent performance assurance spaces for each stage as well as correlation spaces between stages. It provides insight into the coverage and limitations of tools/methods at each stage. The taxonomy is intended to help manufacturers deliver high performance architectures by providing a framework to assess risks, identify gaps, and plan detailed performance assurance.
A TAXONOMY OF PERFORMANCE ASSURANCE METHODOLOGIES AND ITS APPLICATION IN HIGH...IJSEA
This paper presents a systematic approach to the complex problem of high confidence performance
assurance of high performance architectures based on methods used over several generations of industrial
microprocessors. A taxonomy is presented for performance assurance through three key stages of a product
life cycle-high level performance, RTL performance, and silicon performance. The proposed taxonomy
includes two components-independent performance assurance space for each stage and a correlation
performance assurance space between stages.
- The document presents a taxonomy for performance assurance methodologies applied across three stages of product development: high-level performance, RTL performance, and silicon performance.
- The taxonomy includes two components: an independent performance assurance space for each stage, and a correlation performance assurance space between stages to validate performance correlations.
- The taxonomy provides a framework for understanding the full performance assurance solution space, comparing different methodology approaches, identifying gaps, and assessing risk in meeting performance targets throughout the product development cycle.
This document discusses the role of engineering analysis in design. It begins by defining analysis as breaking down objects into basic elements to understand their essence. Analysis involves applying tools like mathematics and physics to study objects and identify relationships. Analysis provides internal guidance for projects and is critical for design. The document then discusses different aspects of applying analysis, including the relationship between analysis and experience, when theoretical guidance should be provided in design, and how to handle discrepancies between theory and experiment. It also discusses developing both logical and intuitive thinking skills in engineers and the complementary roles of analysis and creativity in design. Finally, it covers topics like reliability, safety, statistics, and examples of engineering projects.
Performance Measurement of Individual Manufacturing Firm Under Fuzzy Performa...IRJET Journal
This document presents a study that develops a hierarchical model using fuzzy performance index to measure the overall performance of an individual manufacturing firm under lean-resilient supply chain strategies. It constructs a 2-level hierarchical structure of lean-resilient supply chain measures and corresponding metrics. An empirical case study is conducted to apply the model to measure the performance of a crank and shaft manufacturing firm. Expert ratings and weights are gathered on the metrics and aggregated using fuzzy operators to calculate an overall fuzzy performance index for the firm. The index is then defuzzified to provide a single numerical performance score.
Run-time Monitoring-based Evaluation and Communication Integrity Validation o...Ana Nicolaescu
Architecture descriptions greatly contribute to the understanding, evaluation and evolution of software but despite this, up-to-date software architecture views are rarely available. Typically only initial descriptions of the static view are created
but during the development and evolution process the software drifts away from its description. Methods and corresponding tool support for reconstructing and evaluating the current architecture views have been developed and proposed, but they usually
address the reconstruction of static and dynamic views separately. Especially the dynamic views are usually bloated with low-level information (e.g. object interactions) making the understanding and evaluation of the behavior very intricate. To overcome this,
we presented ARAMIS, a general architecture for building toolbased approaches that support the architecture-centric evolution and evaluation of software systems with a strong focus on their behavior. This work presents ARAMIS-CICE, an instantiation
of ARAMIS. Its goal is to automatically test if the run-time interactions between architecture units match the architecture description. Furthermore, ARAMIS-CICE characterizes the intercepted behavior using two newly-defined architecture metrics.
We present the fundamental concepts of ARAMIS-CICE: its meta-model, metrics and implementation. We then discuss the results of a two-folded evaluation. The evaluation shows very promising results.
Reliability-based design of pile foundations Desh Sonyok
Reliability based design (RBD) refers to any design methodology that are based on a rigorous reliability analysis. RBD is the only methodology available to date that can ensure self-consistency from both physical and probabilistic requirements and is compatible with the theoretical basis underlying structural design (Kulhawy & Phoon, 2002). It is considered as fundamental theoretical basis for all Load and Resistance Design (LRFD) and is capable of mitigating numerous logical inconsistencies inherent in current geotechnical design.
The document discusses site investigation methods for civil engineering projects. It describes common stages in a site investigation including desk study, site reconnaissance, field investigations involving preliminary and detailed ground investigation, laboratory testing, and report writing. Various field investigation techniques are discussed such as test pits, boreholes, and shafts. The importance of determining subsurface soil conditions and groundwater levels is emphasized. Key considerations for site investigations include project type and reliability needed.
Bridges are vulnerable to extreme events such as natural disasters in addition to hazards stemming from negligence and improper maintenance, overloading, collisions, intentional acts of vandalism, and terrorist attacks. These structures must be protected but the current approach to risk is not always rational. Sensitivity analysis will be performed to relate the reliability of bridges and reliability of the transportation network.
1 structural reliability theory and its applicationsbihero_114
This document provides an introduction to and summary of the book "Structural Reliability Theory, and Its Applications" by Palle Thoft-Christensen and Michael J. Baker. The book aims to bring together the major components of structural reliability theory in order to provide a comprehensive overview for newcomers to the field. It covers topics such as probability theory, reliability analysis methods, structural systems reliability, load combinations, and applications to code development and offshore structures. The book serves as a textbook with examples and exercises, but does not attempt to cover all aspects of structural safety.
A Practical Reliability-Based Method for Assessing Soil Liquefaction PotentialCes Nit Silchar
Lecture Topic: A Practical Reliability-Based Method for Assessing Soil Liquefaction Potential
By Prof. Jin-Hung Hwang of National Central University, Taiwan.
Fault tolerance refers to a system's ability to continue operating correctly even if some components fail. There are three categories of faults: transient, intermittent, and permanent. Fault tolerance is achieved through redundancy, including information, time, and physical redundancy. Reliability is the probability a system will function as intended for a given time. It depends on design, components, and environment. Reliability increases through quality control and redundancy. Maintainability is the probability a failed system can be repaired within a time limit. Availability is the probability a system will be operational when needed. Series systems fail if any component fails, while parallel systems fail only if all components fail.
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...Mintu Choudhury
This document discusses modeling a reinforced concrete frame building for seismic analysis. It describes modeling the building using frame elements in SAP 2000. Key elements include:
- Modeling beams and columns as frame elements
- Considering the building's diaphragm, which can be rigid, semi-rigid, or flexible
- Performing modal analysis to determine the building's vibration modes and periods
- Conducting response spectrum analysis and comparing results to the equivalent lateral force method
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
Similar to Reliability based approach for structural design and assessment performance criteria and indicators in current European codes and guidelines_Stefania Arangio
The following presentation covers the basics of Software Architecture and the related topics. Most of the information provided is given in short phrases. Refer to Wikipedia article on the same for more information.
This is meant to be a brief slideshow only.
Being a very brief history of how "architecture" become a thing in software, and of how it delivers on its core claim to fame, which is:
Enabling you to Reason & Calculate about quite vague "Quality" requirements and thereby to achieve confidence of a successful system and happy customers
Design Knowledge Gain by Structural Health MonitoringFranco Bontempi
1. Structural health monitoring plays an essential role in performance-based design by improving knowledge of the structural system and allowing reliable evaluations of structural safety during operation.
2. SHM should be planned during the design phase and carried out throughout the structure's lifecycle to gain two levels of design knowledge: locally for a specific structure, and globally for similar structure types.
3. Dependability is a concept that can effectively evaluate the overall quality of a complex structural system, considering attributes like reliability, safety, and maintenance over the system's lifecycle. SHM helps assess dependability.
Towards a framework for making applications provenance aware: UML2PROVUniversidad de La Rioja
The document presents a systematic review of provenance systems. It defines a taxonomy for characterizing provenance systems based on general aspects, provenance characteristics, and non-functional requirements. The taxonomy is used to analyze and compare 25 provenance systems. Key findings include identifying open research problems in provenance systems. The review aims to provide a unified understanding of provenance systems and motivate the definition of the UML2PROV framework to bridge application design and provenance design.
The document discusses software architecture, where it comes from, and what it is. Architectures are influenced by system stakeholders and their requirements, the developing organization, and the architects' experience. An architecture defines elements, their relationships, and properties. It is important because it represents early design decisions, dictates implementation, organizational structure, and quality attributes. Architectural patterns, reference models, and reference architectures capture common architectural elements but are not full architectures themselves.
The document presents a taxonomy for performance assurance methodologies applied across three stages of developing high performance computer architectures: high-level performance, RTL performance, and silicon performance. The taxonomy includes independent performance assurance spaces for each stage as well as correlation spaces between stages. It provides insight into the coverage and limitations of tools/methods at each stage. The taxonomy is intended to help manufacturers deliver high performance architectures by providing a framework to assess risks, identify gaps, and plan detailed performance assurance.
The document presents a taxonomy for performance assurance methodologies applied across three stages of developing high performance computer architectures: high-level performance, RTL performance, and silicon performance. The taxonomy includes independent performance assurance spaces for each stage as well as correlation spaces between stages. It provides insight into the coverage and limitations of tools/methods at each stage. The taxonomy is intended to help manufacturers deliver high performance architectures by providing a framework to assess risks, identify gaps, and plan detailed performance assurance.
A TAXONOMY OF PERFORMANCE ASSURANCE METHODOLOGIES AND ITS APPLICATION IN HIGH...IJSEA
This paper presents a systematic approach to the complex problem of high confidence performance
assurance of high performance architectures based on methods used over several generations of industrial
microprocessors. A taxonomy is presented for performance assurance through three key stages of a product
life cycle-high level performance, RTL performance, and silicon performance. The proposed taxonomy
includes two components-independent performance assurance space for each stage and a correlation
performance assurance space between stages.
- The document presents a taxonomy for performance assurance methodologies applied across three stages of product development: high-level performance, RTL performance, and silicon performance.
- The taxonomy includes two components: an independent performance assurance space for each stage, and a correlation performance assurance space between stages to validate performance correlations.
- The taxonomy provides a framework for understanding the full performance assurance solution space, comparing different methodology approaches, identifying gaps, and assessing risk in meeting performance targets throughout the product development cycle.
This document discusses the role of engineering analysis in design. It begins by defining analysis as breaking down objects into basic elements to understand their essence. Analysis involves applying tools like mathematics and physics to study objects and identify relationships. Analysis provides internal guidance for projects and is critical for design. The document then discusses different aspects of applying analysis, including the relationship between analysis and experience, when theoretical guidance should be provided in design, and how to handle discrepancies between theory and experiment. It also discusses developing both logical and intuitive thinking skills in engineers and the complementary roles of analysis and creativity in design. Finally, it covers topics like reliability, safety, statistics, and examples of engineering projects.
Performance Measurement of Individual Manufacturing Firm Under Fuzzy Performa...IRJET Journal
This document presents a study that develops a hierarchical model using fuzzy performance index to measure the overall performance of an individual manufacturing firm under lean-resilient supply chain strategies. It constructs a 2-level hierarchical structure of lean-resilient supply chain measures and corresponding metrics. An empirical case study is conducted to apply the model to measure the performance of a crank and shaft manufacturing firm. Expert ratings and weights are gathered on the metrics and aggregated using fuzzy operators to calculate an overall fuzzy performance index for the firm. The index is then defuzzified to provide a single numerical performance score.
Run-time Monitoring-based Evaluation and Communication Integrity Validation o...Ana Nicolaescu
Architecture descriptions greatly contribute to the understanding, evaluation and evolution of software but despite this, up-to-date software architecture views are rarely available. Typically only initial descriptions of the static view are created
but during the development and evolution process the software drifts away from its description. Methods and corresponding tool support for reconstructing and evaluating the current architecture views have been developed and proposed, but they usually
address the reconstruction of static and dynamic views separately. Especially the dynamic views are usually bloated with low-level information (e.g. object interactions) making the understanding and evaluation of the behavior very intricate. To overcome this,
we presented ARAMIS, a general architecture for building toolbased approaches that support the architecture-centric evolution and evaluation of software systems with a strong focus on their behavior. This work presents ARAMIS-CICE, an instantiation
of ARAMIS. Its goal is to automatically test if the run-time interactions between architecture units match the architecture description. Furthermore, ARAMIS-CICE characterizes the intercepted behavior using two newly-defined architecture metrics.
We present the fundamental concepts of ARAMIS-CICE: its meta-model, metrics and implementation. We then discuss the results of a two-folded evaluation. The evaluation shows very promising results.
Thales has been deploying Arcadia and Capella MBSE methods and tools for the past 15 years. As for any journey, there have been many joys and not less difficulties.
During this webinar, Thales presents the foundations of their MBSE approach, how their engineering practices have been improved with the use of models, and what are they doing now to sustain and drive this model-based transformation.
---------
This webinar was driven by Juan Navas (from Thales)
Juan Navas is a Systems Architect with +10 years’ experience on performing and implementing Systems Engineering practices in industrial organizations. He accompanies systems engineering managers and systems architects implement Model-Based Systems Engineering and Product Line Engineering approaches in operational projects, helping them defining their engineering strategies, objectives and practices.
Eugenio Mauri: resumee of the article "From conceptual modelling to requireme...Eugenio Mauri
- Requirements engineering (RE) focuses on requirements elicitation, validation, and representation to better manage change compared to conceptual modeling (CM) which only focused on system functionality.
- RE divides the universe of discourse into three worlds - the subject world, usage world, and system world - related by four types of relationships, whereas CM only considered one relationship.
- Goal-driven and scenario-based approaches in RE help relate organizational objectives to system functions by considering user points of view through normal and exceptional use cases.
The document discusses system architecture and defines several key concepts:
- An architecture describes an operational concept, processes, components, and relationships among components. It includes functional and physical architectures.
- Structured analysis is a process-oriented approach that uses functional decomposition and models like activity, data, rule, and dynamics models.
- The object-oriented approach uses UML diagrams to model static and dynamic behavior.
- Architectures must be evaluated based on verification, consistency, correctness, performance, and requirements.
- The DoD architecture framework defines operational, system, and technical standard views with multiple representations. It uses functional decomposition.
The document discusses system architecture and functional analysis. It begins by defining system architecture as the process of creating complex, unprecedented systems. It then discusses defining architectures, including operational concepts, processes, components, and functional vs physical architectures. It covers structured analysis approaches, including functional decomposition models, data models, rule models, and performance evaluation. Object-oriented approaches and the DoD architecture framework are also summarized. The document then discusses functional analysis, including elements like functions, functional diagrams, processing instructions, and control flow. Methods like functional decomposition, simple vs complete functionalities, and evaluating functional architectures are also covered.
The document discusses system architecture and functional analysis. It covers:
1. The definition of system architecture as the process of creating complex, unprecedented systems to meet ill-defined requirements driven by evolving technology and globalization.
2. Key elements of architectures including the operational concept, processes, components, and selection of systems in a system of systems.
3. Functional analysis examines the activities a system must perform to achieve outputs by transforming inputs. It considers functions, data flows, processing instructions, and control logic.
4. Functional decomposition breaks down a top-level function into subordinate functions using a hierarchical tree structure. Composition builds up from simple functionalities to complete functionalities.
Design Knowledge Gain by Structural Health MonitoringFranco Bontempi
The design of complex structures should be based on advanced approaches able to take into account the behavior of the constructions during their entire life-cycle. Moreover, an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components and with the design environment.
A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied.
In this context, structural health monitoring (SHM)
assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be planned at the design phase and should be performed during the entire life-cycle of the structure.
In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset.
It is interesting to notice that, in addition to this first level of knowledge, structural health monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering.
Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
Design Knowledge Gain by Structural Health MonitoringStroNGER2012
The design of complex structures should be based on advanced approaches able to take into account the behavior of the constructions during their entire life-cycle. Moreover, an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components and with the design environment.
A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied.
In this context, structural health monitoring (SHM)
assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be planned at the design phase and should be performed during the entire life-cycle of the structure.
In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset.
It is interesting to notice that, in addition to this first level of knowledge, structural health monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering.
Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
This document outlines the course objectives and content for a software architectures course. The key topics covered include:
- Understanding what constitutes software architecture, architectural drivers, styles and views.
- Examining quality attribute workshops, architectural views, styles and documenting architectures.
- Exploring specific architectural styles, views, patterns and how they are used to specify system architecture.
- Analyzing architectures for emerging technologies like service-oriented architectures, cloud computing and adaptive structures.
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Reliability based approach for structural design and assessment performance criteria and indicators in current European codes and guidelines_Stefania Arangio
2. Reliability based approach for structural design and assessment 65
taking into account their durability during the entire life cycle and their behaviour in
accidental situations. A modern framework for structural design should consider that a
structure is a real physical object; it is composed by many elements and components that
interact with each other and with the design environment and these interactions can lead
to strong non-linearities and can be source of different uncertainties.
All these requirements are often in contrast with the simplified formulations that are
still widely applied. It is possible to handle these aspects evolving from the simplistic
idealisation of the structure as a ‘device for channeling loads’ to the idea of the structural
system, intended as a “set of interrelated components working together toward a common
purpose” (NASA, 2007), and acting according system engineering, which is a robust
approach to the creation, design, realisation and operation of an engineered system.
Figure 1 System engineering approach for design
PROCESS
INPUT
Requirements Analysis
- Analyze missions and enviroments System
- Identify functional requirements Modeling
- Define performance and design And
constraint requirement Analysis
Requirement
loop
Functional Analysis/
Resources Allocation
- Decomposition to lower-level function
- Allocate performance
- Define functional interfaces
- Define functional architecture
Design loop
Synthesis
- Transform architecture
Historic Analyses - Define alternative product concepts
- Define physical interfaces
Evolutive / Innovative Design
- Define alternative product PROCESS
Risk Management and process solutions
OUTPUT
Source: Adapted from Bentley (1993)
According to the system approach, the design of a generic system is carried out according
to the three main phases shown in Figure 1 (Bentley, 1993):
1 requirements analysis, where the design environment is considered, the functional
requirements are identified and design performance and constraints are fixed
2 functional analysis and resources allocation, where the task is broken down into
lower-level details
3 synthesis of the solution.
3. 66 S. Arangio
System design is an iterative (and non-linear) procedure, so if the first solution is not
satisfactory the design process is iterated; it is possible to note a requirement loop
between phase 1 and 2, and a design loop between phase 2 and 3. Iterations may be
required for several loops. These phases are carried out by means of an integration of
‘soft’ heuristic tools (left bottom side of Figure 1) and ‘hard’ computational techniques
(right top side of Figure 1).
A key concept of the system approach that can be applied to the structural systems is
the decomposition: for a global understanding of the structural behavior, information on
both the entire structure and the single elements are needed (Figure 2). The structural
design should be carried out at different levels of detail and the results of the various
levels should be properly integrated in order to gain an overall understanding.
The whole structural design process can be framed within this system view leading to
the so called performance-based design (PBD) (Smith, 2001, Petrini et al., 2010).
Figure 2 Decomposition of a steel structural system
Struttura
Structural system
Substructure
Sottostruttura
Components
Componenti
Elements
1.1 Structural system quality
Another key concept related to the system approach is the assurance of the system
quality. In recent years, in order to meet international standards and customer demands,
4. Reliability based approach for structural design and assessment 67
some general standards on system quality, which can be applied also to structural
systems, have been developed. An important and well known family of standards is
the ISO 9000 series, which represent an international consensus on good quality
management practises. According to the ISO 9000, as synthetically shown in Figure 3,
the quality management can be represented as a cycle, set up with the aim of assuring
consistency in the quality of system products and services, combined with continual
improvement in customer satisfaction. A quality management system is a fundamental
tool for achieving the required performance and for checking their accomplishment
during time.
Figure 3 Quality management according to ISO 9000
MANAGEMENT
RESPONSIBILITY
R S
E A
C Q T C
CONTINUAL
U U I U
S I MEASUREMENT S S
R RESOURCE , Management ANALYSIS F
T MANAGEMENT system T
E IMPROVEMENT A
O O
M M C M
E E IMPROVEMENT T E
R N I R
T O
S PRODUCT & N
INPUTS SERVICE OUTPUTS
REALIZATION
Source: Adapted from quality-factors.com (2010)
1.2 Quality management and Eurocodes
The European structural codes (Eurocodes) assume that an appropriate quality policy is
implemented by parties during all stages of the life-cycle. For example, the measures
highlighted in EN 1990 comprise:
• accurate definitions of the reliability requirements
• organisational measures
• control at the stage of design, execution and maintenance.
Quality management is an essential consideration in every stage of the life cycle of any
construction. The various stages and the associated specific quality assurance activities
are identified schematically in the quality loop diagram in Figure 4 (Gulvanessian et al.,
2009).
5. 68 S. Arangio
Figure 4 Quality loop for structural systems
Specifications
for design
Design
Demolition
New building
and recycling 0
90 1
3
Operation and
maintenance
15
Maintenance 75 years 25 Maintenance
50
Rehabilitation
Source: Adapted from Gulvanessian et al. (2009)
2 Criteria for reliability based design
The aim of structural design is to realise structures that meet the expected performance,
which can be often represented by a target reliability level (Schneider, 1997). As shown
in Figure 5, there are different approaches for reliability verification:
a deterministic
b probabilistic
c semi-probabilistic.
The most common deterministic safety measure is the global factor of safety, defined as
the ratio of the resistance over the load effect. The concept of the allowable stresses is a
traditional deterministic method, where failure of the structure is assumed to occur when
any stressed part of it reaches the permissible stress. Deterministic verification methods
based on a single global safety factor do not properly account for the uncertainties
associated with strength and load evaluation.
The semi-probabilistic approach is based on the limit state principle and makes use of
partial safety factors for checking the structural safety. These partial factors have been
calibrated so that a structure that satisfies the safety check using a set of design
parameters will also satisfy the target reliability level. The semi-probabilistic verification
6. Reliability based approach for structural design and assessment 69
method is still a simplified method but it can much better account for the uncertainties of
some design parameters.
Probabilistic verification procedures are also based on the principle of limit states, by
checking that predefined target structural reliability levels are not exceeded. This
approach takes into account explicitly the uncertainties.
Figure 5 Reliability verification approaches
Safety factors Deterministic Allowable stress
Reliability
verification
approaches Semi-
probabilistic Partial safety factors
Limit States
Analytical and
numeric
Probabilistic
Simulation
3 European codes and guidelines for reliability based design
Most of the modern codes for constructions have recognised the need of using advanced
reliability based design methods that allow taking into account various sources of
uncertainty. To verify whether or not a structural design is acceptable, the uncertainties
are modelled by using statistical tools and the failure probability is estimated with respect
to all relevant limit states.
The three main documents that have been drawn on reliability based design, which
are briefly presented in the following sections, are the standard ISO 2394 (1998), the
probabilistic model code developed by the Joint Committee on Structural Safety (JCSS,
2001) and the structural Eurocodes.
3.1 The international standard ISO
The ISO 2394 – General principles on reliability of structures – is an important
international standard that specifies general principles for the verification of the
reliability of structures subjected to different types of actions. Reliability is considered in
relation to the performance of the structure throughout its design working life. This
international standard is applicable in all the stages of the construction process as well as
during the use of the structure, including maintenance and repair. The principles are also
7. 70 S. Arangio
applicable to the structural appraisal of existing constructions or assessing changes of
use.
3.2 The JCSS probabilistic model code
The probabilistic model code developed by the Joint Committee on Structural Safety
(JCSS, 2001) represents an important step in the direction of the necessary
standardisation of the reliability based method. In 1971, the Liaison Committee, which
coordinates the activities of six international associations of Civil Engineering (FIB, CIB,
ECCS, IABSE, IASS, and RILEM), created a Joint Committee on Structural Safety
(JCSS) with the aim of improving the general knowledge in structural safety. In 1992, the
JCSS set as a long term goal the development of a probabilistic model code for new and
for existing structures. The JCSS code gives guidance on the modelling of the random
variables in structural engineering and it is intended as the operational part of codes like
the ISO 2394 (1998), the Eurocodes and other national codes that allow for probabilistic
design but do not give any detailed guidance.
The code consists out of three main parts that deal with general requirements,
modelling of loads and modelling of structural properties. The code gives no information,
however, on mechanical models like buckling, shear capacity, foundation failure and so
on. Little or no information is given on other modelling aspects, like for example the
wind pressure coefficients.
3.3 Structural Eurocodes
The idea of common modern structural specifications for the countries of the European
economic area was born in 1975, when the Commission of the European Community
decided on an action programme in the field of construction based on Article 95 of the
Treaty of Rome. The objective of the programme was the elimination of technical
obstacles to trade and the harmonisation of technical specifications.
Figure 6 Links between the Eurocodes
EN 1990 Basis of Structural Design
EN 1991 Action on structures
EN 1992 EN 1993 EN 1994
Design and detailing
EN 1995 EN 1996 EN 1999
Geotechnical and
EN 1997 EN 1998 Seismic Design
The Eurocodes are used for the design of new structures but they also cover engineering
principles that could be used to form the basis of assessment of existing structures. The
8. Reliability based approach for structural design and assessment 71
ten structural Eurocodes are linked as shown in Figure 6. The first one, EN 1990 – Basis
of Structural Design is the head code, which gives the basis of structural design adopted
by the whole suite and needs to be used alongside of the remaining standards. The
second one (EN 1991 – Actions on structures) gives actions. Then, there are six
standards for design and detailing, grouped by material (EN 1992 – Concrete,
EN 1993 – Steel, etc.), and two standards for Geotechnical (EN 1997) and Seismic (EN
1998) design. The Eurocodes are being implemented by each member country trough
national standards which comprise the full text of the Eurocode and may be followed by a
national Annex.
3.4 The Italian approach
In Italy a new structural code is in force from July 2009 (Norme Tecniche delle
Costruzioni (NTC) – passed with D.M. 14/01/2008). This code has been written in
accordance with the principles of the Eurocodes. Many parts have been quoted from the
Eurocodes, others have been modified, according to the Italian needs. The NTC
represents an important step in the Italian approach: for the first time the national code is
based on a modern probabilistic approach (that actually in most of the cases can be
brought to a semi-probabilistic approach with the use of the partial factors). It deals with
both design of new structures and assessment of existing ones.
Part II Existing structures
4 Structural assessment process
The assessment of existing structures aims at producing evidence that they will function
safely over a specified residual service life. It is mainly based on estimating the material
properties and strength capacity of the members taking into account the present state of
the structure, and evaluating its ability to withstand anticipated hazards and future loads.
Nowadays, this problem is particularly important in the case of infrastructures. In
fact, the rate and extent of the deterioration of existing bridges have lately significantly
increased. Indeed, the current low funding in the infrastructure sector of many European
countries has forced highway agencies to postpone necessary investments in new road
and bridges and consequently stretch the service life of their existing old stock. The
prioritisation of the distribution of funds among maintenance, repair and rehabilitation
activities is a major problem that bridge authorities everywhere are facing (Frangopol and
Das, 1999; Casas, 2006).
The structural assessment is assuming a key role in the management of existing
structures and different approaches exist. The most commonly used method is the so
called condition rating method, where, on the basis of visual inspections, a grade is
assigned to the structure. The grade can be either numerical ranging for example between
one for very poor condition to ten for excellent condition, or descriptive by classifying
infrastructures as poor, acceptable, good, etc. The main drawback of this approach is that
often it lacks of objectivity because it is based on the sensibility of the engineer, so the
same structure, assessed by two different engineers, can be rated with different grades.
9. 72 S. Arangio
In the past three decades, a new measure for the assessment of existing structures has
been developed within the probabilistic framework based on the reliability index
(Melchers, 1999).
According with the decomposition approach previously discussed, the most efficient
processes are based on the verification of the reliability at different levels. Looking at the
example in Figure 7 (Bontempi et al., 2009), the verification can be carried out at a global
level (called 4th level in the figure), at the level of the single structural element
(3rd level), on the section of the element (2nd level), and at the material level (1st level).
For each level appropriate methods and tools are available.
Figure 7 Reliability verification levels in the limit states approach
Source: Adapted from Bontempi et al. (2009)
It is also important to note that the choice of the assessment method and level of accuracy
is strictly related to the specific phase of the life-cycle and to the complexity and
importance of the structure (Bontempi, 2006). The use of advanced methods is not
justified for all structures; the restriction in terms of time and cost is important
(Arangio et al., 2010): for each structural system a specific assessment process, which
would be congruent with the available resources and the complexity of the system, should
be developed. In Bontempi et al. (2008) for example, the structures are classified for
monitoring purposes in the following categories: ordinary, selected, special, strategic,
active and smart structures. The information needed for an efficient monitoring,
shown in Figure 8 by means of different size circles, increases with the complexity of the
structure.
10. Reliability based approach for structural design and assessment 73
Figure 8 Relationship between classification of structures and characteristics of the monitoring
process
Source: From Bontempi et al. (2008)
Another hierarchical model, based on six levels of assessment, is proposed in various
guidelines (e.g., SAMARIS, 2006; Rücker et al., 2006 for bridges). The various levels are
summarised in Figure 9 and Table 1. They are numbered from 0 to 5 with
level 0 (informal qualitative assessment) being the simplest and level 5 (full probabilistic
assessment) the most sophisticated.
Figure 9 Structural assessment levels
Structural Assessment
Qualitative Quantitative
Assessment Assessment
Measurement based Model based
Assessment Assessment
Level 0 Level 1 Level 2 Level 3 Level 4 Level 5
Experience Direct Assessment of Assessment of Adaptation of Probabilistic
based subjective assessment of safety and safety and target reliability assessment of
assessment of serviceability serviceability serviceability methods ad safety and
deterioration values from using simple using refined assessment of serviceability
effects and other measured load model based model based safety and values
damage after effects methods methods serviceability
visual inspection with modified Data from test,
Data from Data from test, structure- monitoring, etc.
documents monitoring, etc specific values
Source: Adapted from Rücker et al. (2006)
11. 74 S. Arangio
Table 1 Structural assessment levels
Assessment Strength and load
Calculation models Assessment methodology
level models
Strength and load Simple linear elastic LFRD-based analysis,
1
models as in design code calculation load combinations and
Material properties Refined, load partial factors as in the
based on design redistribution is design code
2
documentation and allowed, provided
standards that the ductility
3 Material properties can requirements are
be updated on the basis fulfilled
LRFD-based analysis,
of in situ testing and modified partial factor are
4 observations using allowed
Bayesian approach
Strength model Probabilistic analysis
including probability
5
distribution for all
variables
Source: Adapted from Rücker et al. (2006)
It is important to note that there are some substantial differences between the design of
new structures and the assessment of existing ones. Consider for example the following
aspects:
• the structural codes for design consider generic situations and the inputs of the
design process are established according to standard rules. On the other hand, the
assessment of existing structures is carried out case by case, evaluating the real
actions
• in the assessment of existing structures the real constraints are uncertain
• the required performance are easier to be accomplished in the design phase than in
the assessment
• some structures could have adequate performance even if they have exceeded their
nominal life.
The probabilistic framework for assessment of existing structures can thus be seen as an
extension of the probabilistic framework for the design of new structures, providing a
rational and consistent basis for the inclusion of new information and uncertainties. An
example is schematically illustrated in the JCSS document (Figure 10). The assessment
of existing structures by using methods of modern reliability theory is seen as a
successive process of model building, consequence evaluation and model updating by
introduction of new information or by modification of the structure. The analysis to be
performed involves various steps:
• formulation of a priori uncertainty models
• formulation of limit state functions
• establishing posterior probabilistic models
• setting acceptable levels for the probability of failure.
12. Reliability based approach for structural design and assessment 75
The issue of setting acceptable levels for probabilities of failure, that is setting target
reliability levels, assumes a key role. In the following sections some strategies suggested
by different guidelines and codes for the selection of the target reliability indices are
presented.
Figure 10 Probabilistic approach for structural assessment
Probabilistic modeling
Uncertainty Limit state equation
Modeling Consequence
Modify design
Introduce new
information
Change use of
structure
Actions
Source: Adapted from JCSS (2001)
5 European codes and guidelines for structural reliability assessment
Guidelines for evaluating the safety of existing structures are available in some countries.
For example, in Canada, Germany, Slovenia, the Netherlands, Switzerland, and in some
states of the USA they have been prepared with a careful attention to details. In the UK, a
considerable amount of guidance on the design, management and assessment of bridge
structures is provided in the Design Manual for Roads and Bridges (DMRB) (HMSO,
2001). A good example of evaluation code is the recently developed Danish BMS
DANPRO+ (Bjerrum et al., 2006). In Italy, the recently issued structural code (NTC,
2008) includes an entire chapter on the assessment of existing constructions. Even if
some countries in Europe are using specific guidelines or standards for structural safety
assessment, many European countries still do not have specific methods.
While for the design of new structures there are common European specifications
(the Eurocodes), there are no common standards for the assessment of existing structures.
As already said, some indications are given in the Eurocodes but they are not enough. In
the light of the development of common European standards, there is a need to harmonise
the various existing specifications. For example, a report by the European Convention for
Construction Steelwork (ECCS) and the Joint Research Center has been prepared to
13. 76 S. Arangio
provide technical insight on the way existing steel structures could be assessed and the
remaining life could be estimated (Kühn et al., 2004). These recommendations follow the
principles of the Eurocodes.
It is important to note that, even if all the mentioned specifications provide a
philosophical basis and a theoretical framework for the assessment of structures, most of
them propose procedures based on deterministic approaches. There have been a number
of applications of reliability based assessment in some countries (Frangopol and Strauss,
2008) but the probabilistic approaches are not yet commonly used in practise, mainly due
to the lack of information and standardisation. A remarkable exception is presented for
example in the work by Biondini et al. (2004a). Some important documents that have
been drawn up in this sense are the standards ISO 2394 and 13822, and the JCSS
Probabilistic Code. Also various research projects [e.g., Rücker et al. (2006) and BRIME
(2003)] have proposed guidelines on monitoring and reliability-based assessment.
5.1 The international standard ISO
The already mentioned ISO 2394 – General Principles on Reliability of Structures, and
the ISO 13822 – Assessment of Existing Structures – deal with reliability assessment of
existing structures. The general principles for the verification of the reliability are
introduce in clause 10 of ISO 2394, where it is explained how the basic variables, such as
loads, material properties and model uncertainties, shall be taken. This approach allows
drawing conclusions with respect to the bearing capacity of single tested members, to the
capacity of other non-tested members and other load conditions as well as to the
behaviour of the entire system. The International Standard ISO 13822 provides general
requirements and procedures for the assessment of existing structures (buildings, bridges,
industrial structures, etc.) based on the principles of structural reliability and
consequences of failure. It is intended to serve as a basis for preparing national standards
or codes of practise in accordance with current engineering practise and the economic
conditions.
5.2 The JCSS probabilistic model code
An important step in the direction of the necessary standardisation of the reliability based
method is the probabilistic model code developed by the Joint Committee on Structural
Safety (JCSS, 2001). The JCSS document includes general guidelines on reassessment,
methodologies for reliability updating, acceptability and safety criteria, with examples
and case studies. This document was created because the classical code approaches were
often not suited to address questions such as the evaluation of the risk of structures, and
the choice of the adequate type of inspection. Thus, the document was created with the
following basic goals:
a to standardise methods and terminology
b to be operational for the consulting engineers
c to be generally applicable for various materials and various structural types
d to build the basis of future codes and standards.
14. Reliability based approach for structural design and assessment 77
5.3 Structural Eurocodes
As specified above, the structural Eurocodes deal with the design of new structures but
they also cover engineering principles that could be used to form the basis of structural
assessment. For example, according to UNI EN (1990), a concrete structure shall be
designed in such a way that deterioration of concrete and/or steel should not impair the
durability and performance of the structure. In other words, an adequate maintenance
strategy is part of the design concept of the structural Eurocodes. However, clause 1.1(4)
does recognise that additional or amended rules and provisions might be necessary where
appropriate.
5.4 The Italian approach
Italy represents a particular case in the field of structural assessment because of the huge
number of historic and valuable existing structures. There are numerous typologies of
structures, built in various historic epochs and by using different methods. For these
reasons it was very difficult to define standards able to deal with the issue of structural
assessment in a general way. Another important aspect is that, in Italy, the indications
given in the structural codes are compulsory, so the existing guidelines cannot be used
and, even if the Eurocodes are standards for all the member states, they need a specific
document, approved as a law, for their effective application in Italy.
In the last Italian structural code (NTC, 2008) an entire chapter is devoted to the
existing structures. The indications regarding the assessment are mainly oriented toward a
performance based approach: few rules and general indications are given and the
engineer is free to choice the method to guarantee the required performance. In this code
it is noticeable the introduction of two new concepts related to the performance approach:
the so called knowledge levels and confident factors. Both are used to modify the
capacity parameters. Three different levels of knowledge (Livelli di conoscenza, LC) are
defined:
• level of knowledge 1 (LC1): limited knowledge
• level of knowledge 2 (LC2): adequate knowledge
• level of knowledge 3 (LC3): accurate knowledge.
For each level of knowledge a confident factor, which is used together with the other
partial factors, is assigned (Table 2). The aspects that are considered in order to classify
the level of knowledge are:
• the geometrical characteristics of the structure
• the mechanical properties of the materials, obtained from both project documents
and specific tests
• the geotechnical characterisation.
More details are available in the code and in specific publications (see for example
Franchin et al., 2010).
15. 78 S. Arangio
Table 2 Level of knowledge and confident factor
Level of knowledge Confident factor
LC1 – limited knowledge 1.35
LC2 – adequate knowledge 1.20
LC3 – accurate knowledge 1
Source: Adapted by NTC (2008)
6 Acceptability and target criteria for the reliability index
For the assessment of existing structures, target reliability levels different than those used
in the design must be considered (Vrouwenvelder and Scholten, 2010). The differences
are based on the following considerations (ISO 13822).
• economic consideration: the cost between accepting and upgrading an existing
structure can be very large, whereas the cost of increasing the safety of a structural
design is generally very small; consequently conservative criteria are used in design
but should not be used in assessment
• social considerations, as the consequences of disruption of ongoing activities
• sustainability considerations: reduction of waste and recycling, which are
considerations of lower importance in the design of new structures.
Table 3 Target reliability indices for the reference period of 50 years and 1 year and ‘moderate’
relative costs of safety measures
Codes Consequences
EN 1990 Low Normal High
ISO 9324 Small Some Moderate Great
JCSS Minor Moderate Large
EN 1990 – 50 years - 3.3 3.8 4.2
ISO 9324 – life time 1.3 2.3 3.1 3.8
JCSS – 50 years - 2.5 3.2 3.5
EN 1990 – 1 year - 4.2 4.7 5.2
ISO 9324 – 1 year 2.9 3.5 4.1 4.7
JCSS – 1 year - 3.7 4.2 4.4
Target values are given in several codes and guidelines (e.g., Moses, 2001; CAN/CSA-
S6-00, 2000; COWI, 2007; JCSS, 2001; UNI EN, 1990, 2002). For the definition of the
reliability indices various factors are considered as for example consequences of failure
(e.g., low, normal, high for EN 1990), reference period, relative cost of safety measures
(e.g., small, moderate, great for ISO 9324), importance of structure (bridges, public
structures, residential buildings, etc.) and so on. In Table 3, some target reliability levels
proposed by international codes for design and assessment are shown. They vary with the
consequences of failure and the reference periods (in the table 50 years for design and
16. Reliability based approach for structural design and assessment 79
1 year for assessment). The proposed values consider ‘moderate’ relative costs of safety
measure
The target limits are obtained from different procedures. For example, the Canadian
Standards Association (CSA, 2000) has adopted the following life-safety criterion for
bridge assessment. To take into account that some failures are much less likely to result
in death or injury than others, they define the conventional probability of failure:
A⋅ K
Pconventional =
W⋅ n
where Pconventional is defined as the target annual probability of failure based on life-safety
consequences, K is a constant based on calibration to existing experience which is known
to provide satisfactory life safety, A is the activity factor which reflects the risk to human
life associated with activities for which the structure is used, W is the warning factor
corresponding to the probability that, given a failure, a person at risk will be killed or
seriously injured, and n is the importance factor based on the number of people n at
risk if failure occurs.
The CAN/CSA-S6-00 (2000) proposes also to adjust the target reliability indices for
bridges according to the consequences of failure of one element. For example, if the
failure of one element does not lead to collapse because of redundancy then the risk to
life is reduced; if an element fails gradually, then the failure is likely to be noticed before
collapse takes place. Table 4 provides some examples of adjustments for single elements
and for the entire system.
Table 4 Reliability index adjustment for bridge assessment
β = 3.5 − ( Δ E + Δ S + Δ I + Δ PC )
Adjustment for element behaviour ΔE
Sudden loss of capacity with little or no warning 0.0
Sudden failure with little or no warning but retention of post-failure capacity 0.25
Gradual failure with probable warning 0.5
Adjustment for system behaviour ΔS
Element failure leads to total collapse 0.0
Element failure probably does not lead to total collapse 0.25
Element failure leads to local failure only 0.5
Adjustment for inspection level ΔI
Component not inspectable – 0.25
Component regularly inspectable 0.0
Critical component inspected by evaluator 0.25
Adjustment for traffic category ΔPC
All traffic category except PC 0.0
Traffic category PC 0.6
Source: Adapted from CAN/CSA-S6-00 (2000)
17. 80 S. Arangio
Part III Structural system robustness and dependability
7 Structural robustness
The traditional approach for structural design and assessment aims at the verification of
the safety of the structure under assigned loads and boundary conditions, but it does not
take into account some advanced aspects: for example the fact that also a small initial
failure could result in a disproportionate structural damage as shown by several cases of
building collapses in the past (see for example Crowder et al., 2008). Such behaviour is
commonly interpreted as a lack of structural robustness (Starossek, 2009; Giuliani, 2009).
To clarify the role assumed by structural robustness, it is necessary first to clarify its
meaning. The term robustness appears often in the structural engineering literature and it
has been widely discussed in international scientific conferences (see for example the
special sessions on structural robustness organised at the IABMAS Conferences (2008,
2010) by Bontempi and Starossek, and the Conferences ‘Handling the Exceptions’ in
Rome (HE, 2008; 2010). Even so, it is used differently by the various authors and there is
no general agreement today about its precise meaning. A set of definitions has been
selected in a recent work by Starossek and Haberland (2010). Two qualitative definitions
are the following:
• ability of a structure to withstand actions due to fires, explosions, impacts or
consequences of human error, without suffering damages disproportionate to the
triggering causes (EN 1991-1-7: 2006)
• insensitivity of the structure to local failures (Starossek et al., 2007).
The main difference in these definitions, which reflects also a certain dispute in recent
literature (Starossek and Wolff, 2005; Faber, 2006), consists in the identification of the
cause a structure should withstand in order to be considered robust. According to the first
definition, a structure is robust if a disproportionate collapse is not triggered in
consequence of an accidental action, while the second definition of robustness refers
directly to the ability of a system to tolerate structural damages, apart from the actions
that could have determined them.
In the latter case, the robustness is intended as a property inherent to the structural
system and can represent a direct measure of the susceptibility of a structure to
disproportionate collapses. According to the first definition instead, the robustness of a
structure would depends on the accidental action considered.
Summing up the different definitions, it is possible to say that robustness refers to the
ability of a structure not to respond disproportionately to either abnormal events or initial
local failure. It is important to point out that it is not to be expected that the structure will
resist all the possible occurrences without any damage: not only is practically impossible
the foreseeing of any possible critical event, but hardening a structure to resist perfectly
integer to hazards that have such a low probability of occurrence, would be not
economically feasible. More detail can be found in Starossek (2009), Giuliani (2009),
Bontempi et al. (2007) and Brando et al. (2010).
The robustness of a structure strongly influences its reliability but it very difficult to
measure the contribution. In most of the existing codes and guidelines the subject of
structural robustness in treated in a general way and only indirect design criteria are
provided. The task of the quantitative evaluation of robustness, and consequently the
18. Reliability based approach for structural design and assessment 81
modification of the reliability indices have been treated by several authors. Four main
approaches exist: risk based (Faber, 2006), topology based (Agarwal et al., 2003), energy
based (Starossek and Haberland, 2008) damage based (Biondini and Frangopol, 2008;
Yan and Chang, 2006; Bontempi et al., 2007). A summary of the main quantitative
definitions proposed in the past few years is given in Giuliani and Bontempi (2009).
7.1 Robustness and the Eurocodes
The topic of robustness is essentially covered by two Eurocodes, EN 1990 – Basis of
Structural Design, which provides the high level principles for achieving robustness and
EN 1991: Part 1-7 – Accidental Actions (EN 1991-1-7), which provides strategies, and
methods to obtain robustness and the actions to consider.
The leading principle is that, in case of accidental actions, local damage is acceptable,
provided that it will not endanger the structure, and that the overall load-bearing capacity
is maintained during an appropriate length of time to allow necessary emergency
measures to be taken (Gulvanessain and Vrouwenvelder, 2006).
Figure 11 The arrow indicates the point where the rock impacted the pile, (a) impacted point
(b) rock (c) maximum height of the debris flow during the event (d) height of debris at
the end of the landslide (see online version for colours)
Messina – Catania Highway
Racinazzo Torrent
Source: From Ortolani and Spizuoco (2009)
An example of lack of structural robustness in an accidental situation is shown in
Figure 11. The highway bridge in the picture is located at the entrance of the city of
Messina (Sicily Island, Italy) where in October 2009 a large landslide occurred; the
debris flow impacted the bridge and a big rock (visible in Figure 12) strongly damaged
one of the piers. The traffic was interrupted for entire days causing trouble to the
circulation of the entire city. In Figure 11, the arrow indicates the point where the rock
19. 82 S. Arangio
impacted and the marked surface represents the volume of the debris flow. In Figure 12
the zone is viewed from the other side. In such a case, it would have been necessary to
quantify the structural robustness and evaluate the residual life of the structure before
reopening the bridge to the normal traffic. In fact this structure was designed to carry
mainly vertical loads and the sudden impact with the heavy rock changed its structural
behavior. A robust design approach of bridges located in hazardous areas should properly
take into account accidental situations in order to avoid disruption of the service or even
the collapse of the structure. Other examples of structural behaviour under accidental
scenarios are given for example in Crosti (2009) and Gentili et al. (2010).
Figure 12 The arrow indicates the damaged pier (see online version for colours)
Damaged pier
Messina – Catania Highway
Notes: On the right it is possible to see the big rock that impacted on the bridge.
Source: From Ortolani and Spizuoco (2009)
7.2 Redundancy in Eurocodes and NCHRP
According to the Eurocodes, redundancy is the availability of alternative load-carrying
components and alternative paths for a load to be transferred from a point of application
to a point of resistance. This implies the absence of critical components whose failure
would cause the collapse of the structure (Frangopol and Curley, 1987).
There is a strong connection between redundancy and robustness (Starossek and
Haberland, 2010). Redundancy is a key factor for robustness: a redundant structure has
alternative load carrying components; if one or more components fail, the remaining
structure is able to redistribute the force originally carried by the failed components into
alternative load paths. However, the terms robustness and redundancy denote different
properties of the structure and they should be clearly distinguished (Biondini et al., 2008;
Starossek, 2009). Using them as synonyms obscures the fact that redundancy is not the
only means to achieve robustness. Both concepts should be considered in a reliability
based assessment of structures.
It is important to note that the definitions given above are generally used in Europe;
the term redundancy is used in a different way in the literature of the USA: the concept of
redundancy is mainly related to the ability of a structure to withstand the failure of a
single structural member without collapsing. For example, NCHRP 406 defines bridge
redundancy as “the capability of a bridge to continue to carry loads after the damage or
the failure of one of its member (the first member to fail)” (Ghosn and Moses, 1998). In a
sense, their definition of redundancy is equivalent to the definition of the robustness
20. Reliability based approach for structural design and assessment 83
given in the Eurocodes. Thus, the methods proposed in USA (as for example in the
NCHRP Report 406, 1998) for the assessment of the reliability taking into account the
redundancy, in the European point of view, could be applied for reliability assessment
taking into account the robustness. Actually, this is the same concept called in different
ways (Arangio and Ghosn, 2010).
NCHRP Report 406 (Ghosn and Moses, 1998) developed a process for quantifying
redundancy (i.e., robustness according to the European view) in bridge super structures.
Subsequently, this approach was extended to substructures (Liu et al., 2001). A bridge is
considered safe if:
• it provides a reasonable safety against first member failure
• it provides an adequate level of safety before it reaches its ultimate limit states
• it does not deform excessively under expected loads
• it is able to carry some traffic loads after damage or loss of members.
Accordingly four limit states are defined as:
• member failure, which is a check of individual member safety using elastic analysis
• ultimate limit state, which is defined as the ultimate capacity of the bridge system or
the formation of a collapse mechanism
• functionality limit states, which is defined as the capacity of the structure to resist a
main member live load displacements of specified magnitude
• damaged condition limit state, which is defined as the ultimate capacity after
removal of one main load carrying component.
The four limit states should be checked to ensure the satisfactory safe performance of the
bridge system under extreme and regular conditions. ‘Adequate’ safety margins can be
determined using reliability based techniques. A reliability index can be defined for each
limit state, thus there will be βmember for the member failure, βu for the ultimate limit state,
βfunct for the functionality limit state, and the system reliability index βdamaged for damaged
conditions.
To study the redundancy of a system, it is useful to examine the differences between
the reliability indices of the system expressed as βu, βfunct, and βdamaged and the reliability
index of the most critical member as βmember. The relative reliability indices are defined
as:
Δβ u = β u − β member
Δβ f = β func − β member
Δβ d = β damage − β member
These relative reliability indices give measures of the relative safety provided by the
bridge system compared with the nominal safety of first member failure. On the basis of
analyses of typical bridge configurations, a direct redundancy evaluation procedure has
been proposed in the NCHRP reports. It is based on satisfying minimum values of the
relative reliability indices. According to these analyses, a bridge will provide adequate
levels of redundancy if all three following conditions are satisfied:
21. 84 S. Arangio
Δβ u ≥ 0.85
Δβ f ≥ 0.25
Δβ d ≥ −2.70
8 Structural systems dependability
For the purpose of the evaluation of the overall quality of structural systems a new
concept has been recently proposed: the structural dependability. It can be introduced
looking at the scheme in Figure 13, where the various aspects discussed in the previous
paragraphs are ordered and related to this concept. It has been said that a modern
approach to structural design requires evolving from the simplistic idea of structure to the
idea of structural system, and acting according to the system engineering approach. In
this way it is possible to take into account the interaction between the different structural
parts and between the whole structure and the design environment. The grade of
non-linearity and uncertainty in these interactions determines the grade of complexity of
the structural system. In case of complex structural systems, it is important to evaluate
how the system works as a whole, and how the elements behave singularly. In this
contest, dependability is a global concept that describes the aspects assumed as relevant
to describe the quality of a system and their influencing factors (Bentley, 1993). It has
been originally developed in the computer science field but it can be reinterpreted in the
civil engineering field (Arangio et al., 2010). The dependability reflects the user’s degree
of trust in the system, i.e., the user’s confidence that the system will operate as expected
and will not ‘fail’ in normal use: the system shall give the expected performance during
the whole lifetime.
Figure 13 Roadmap for the analysis and design of complex structural systems
Interaction among
different structural
parts Interactions are
characterized by
STRUCTURAL
SYSTEM strong nonlinearity
Interaction between and uncertainty
the whole structure
and the design
environment
DECOMPOSITION SYSTEM
APPROACH COMPLEXITY
STRATEGY
ATTRIBUTES
QUALITY of the
whole structural
THREATS
system:
DEPENDABILITY
MEANS
PERFORMANCE
BASED DESIGN
22. Reliability based approach for structural design and assessment 85
The assessment of dependability requires the definition of three elements (Figure 14):
• the attributes, i.e., the properties that quantify the dependability
• the threats, i.e., the elements that affect the dependability
• the means, i.e., the tools that can be used to obtain a dependable system.
In structural engineering, relevant attributes are reliability, safety, security,
maintainability, availability, and integrity. Not all the attributes are required for all the
systems and they can vary over the life-cycle. They are essential to guarantee:
• the ‘safety’ of the system under the relevant hazard scenarios, that in current practise
is evaluated by checking a set of ultimate limit states (ULS)
• the survivability of the system under accidental scenarios, considering also the
security issues; in recent guidelines, this property is evaluated by checking a set of
‘integrity’ limit states (ILS)
• the functionality of the system under operative conditions (availability), that in
current practice is evaluated by checking a set of serviceability limit states (SLS)
• the durability of the system.
These attributes can be divided in high level or active performance (reliability,
availability, and maintainability) and low level or passive performance (safety, security,
and integrity) (Petrini et al., 2010).
The threats to system dependability can be subdivided into faults, errors and
failures. According to the definitions given in Avižienis et al. (2004), an active or
dormant fault is a defect or an anomaly in the system behaviour that represents a potential
cause of error; an error is the cause for the system being in an incorrect state; failure is a
permanent interruption of the system ability to perform a required function under
specified operating conditions. Error may or may not cause failure or activate a fault. In
case of civil engineering constructions, possible faults are incorrect design, construction
defects, improper use and maintenance, and damages due to accidental actions or
deterioration.
The problem of conceiving and building a dependable structural system can be
considered at least by four different points of view:
1 how to design a dependable system, that is a fault-tolerant system
2 how to detect faults, i.e., anomalies in the system behaviour (fault detection)
3 how to localise and quantify the effects of faults and errors (fault diagnosis)
4 how to manage faults and errors and avoid failures (fault management).
23. 86 S. Arangio
Figure 14 Dependability: attributes, threats and means
RELIABILITY
MAINTAINABILITY
AVAILABILITY
ATTRIBUTES
INTEGRITY
SAFETY
SECURITY
FAULT
DEPENDABILITY THREATS ERROR
FAILURE
FAULT TOLERANT
DESIGN
FAULT DETECTION
MEANS
FAULT DIAGNOSIS
FAULT MANAGING
Source: Arangio et al. (2010)
The task of fault management includes the so called fault forecasting, that is the set of
methods and techniques for performing evaluations of the system behaviour with respect
to fault occurrence or activation. These evaluations have two aspects:
a qualitative, aimed at identifying the possible failure modes or hazardous scenarios
b quantitative, aimed at evaluating in terms of probabilities some of the attributes of
dependability.
A system is taken as dependable if it satisfies all requirements with regards to various
dependability performance and indices, so the various attributes, such as reliability, safety
or availability, which are quantitative terms, form a basis for evaluating the dependability
of a system. The evaluation of the dependability is a complex task because this is a term
used for a general description of the quality of a system and it cannot be easily expressed
by a single measure. The approaches for dependability evaluation can be qualitative or
quantitative and usually are related to the phase of the life cycle that it is considered
(design or assessment). In the early design phase a qualitative evaluation is more
appropriate than a detailed one, as some of the subsystems and components are not
completely conceived or defined. Qualitative evaluations can be performed, for example,
by means of failure mode analyses approaches, as the failure mode effects and criticality
analysis (FMECA) or the failure tree analysis (FTA), or by using reliability block
24. Reliability based approach for structural design and assessment 87
diagrams. Note that these models assume independence among modeled components. On
the other hand, in the assessment phase, numerous aspects should be taken into account
and all of them are affected by uncertainty and interdependencies, so quantitative
evaluations, based on probabilistic methods, are more suitable. It is important to evaluate
whether the failure of a component may affect other components, or whether a
reconfiguration is involved upon a component failure. These stochastic dependencies can
be captured for example by Markov chains models, which can incorporate interactions
among components and failure dependence. Others methods are based on Petri Nets and
stochastic simulation. At the moment, most of the applications are on electrical systems
(e.g., Nahman, 2002) but the principles can be applied in the civil engineering field.
When numerous different factors have to be taken into account and dependability cannot
be described by using analytical functions, the use of linguistic attributes by means of the
fuzzy logic reasoning can be helpful (Ivezić et al., 2008; Biondini et al., 2004b).
9 Conclusions
In this work a state of the art about the European reliability based approach for the design
and assessment of civil engineering systems is presented. The first part deals with the
issues related to the design phase, while the second part considers the reliability based
assessment of existing structures. In the last part the concept of structural robustness is
discussed showing the difference between the European point of view and the US one.
Looking at the recent literature and structural standards, it is possible to notice that there
is an increasing interest in the reliability based approach. However it has been shown that
most of the regulations are still based on over simplified approaches that are not able to
take into account the intrinsic complexity of the modern structural systems and the
concept of robustness. The existing measures are mostly local indices whereas the
reliability of a structural system should be evaluated in global way, taking into account
the possible non-linearities and the various sources of uncertainties. For the purpose of
the evaluation of the overall quality of structural system a new concept has been recently
proposed and it is discussed in the last part of the paper: the dependability. It is a global
concept that describes the aspects assumed as relevant and their influencing factors. It has
been originally developed in the computer science field but it can be applied to civil
engineering systems.
Acknowledgements
The present paper is a result of a work conducted within a collaboration with the Task
Group 2 of the SEI-ASCE Technical Council on Life-Cycle Performance, Safety and
Reliability and Risk of Structural Systems. Prof. Franco Bontempi and his team
www.francobontempi.org from Sapienza University of Rome, and Prof. Michel Ghosn
from CUNY of New York are gratefully acknowledged for their suggestions. Prof. Casas
of the UPC, Prof. Malerba of the Polytechnic of Milan and Dr. Starnes of the TRB are
also acknowledged. The opinions and conclusions presented in this paper are those of the
author and do not necessarily reflect the views of the sponsoring organisations.
25. 88 S. Arangio
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