The document discusses the Fire Dynamics Simulator (FDS) software. It provides an overview of FDS, which is a computational fluid dynamics model for fire-driven fluid flow. It also discusses writing FDS input files, running FDS simulations, and using Smokeview to visualize the results. The document appears to be from a course on fire safety engineering taught by Carlos Rallo de la Cruz in May 2017.
This document provides an overview of performance-based design (PBD) for fire safety. It discusses how PBD differs from prescriptive design by focusing on objectives rather than parameters. The document outlines the history and evolution of PBD over the past few decades. Examples are given of when PBD may be applied, such as for unique architectural designs or to enable cost-effective solutions.
The document discusses fire safety standards for train stations as outlined in the NFPA 130 standard. It provides an overview of chapters and annexes that address elements like compartmentation, means of egress, and sample calculations for evaluating evacuation from platform areas. Specific sections summarized include definitions, requirements for stations, and guidance for performing egress calculations for center and side platform station layouts.
The document summarizes key aspects of the NFPA 101 Life Safety Code regarding occupancy classification. It explains that the Code classifies occupancies based on their use and hazards and that mixed and separated occupancies have different requirements. For mixed occupancies, the most restrictive Code requirements apply. For separated occupancies, fire resistance-rated separation is required between occupancies. It also notes some exceptions for incidental areas.
This document summarizes a lecture on crowd dynamics and pedestrian modeling for fire safety. It discusses the history and complexity of modeling crowd behavior, including early models that treated crowds as fluids and more recent agent-based models. It also outlines several computer models used for evacuation simulations, including grid models and continuous models, and limitations in modeling panic behavior and human factors.
24 OCT 2016 - Introduction to PyroSim & Engineering ApplicationsBSD Singapore
The leading industry graphical user interface for Fire Dynamics Simulator (FDS), PYROSIM, is recognized for its quick, reliable and precise simulation of complex fire models. It enables design teams to create complicated and cost-efficient designs in the preliminary stage without compromising desired level of fire safety.
The objective of this Workshop is for engineers to gain an understanding of fire dynamics and fire modeling. The guided hands-on workshop will help you to familiarize with the graphical interface and work towards customizing and prescribing your own fire scenarios.
Simtec is a leading CFD software for fire simulation that provides advanced models, fast computation, powerful pre- and post-processing tools, and a graphical user interface. It enhances simulation reliability and reduces simulation time. Simtec can efficiently simulate complex fires involving large geometries. It has applications in fire safety engineering, HVAC, energy engineering, and other industries.
Simtec is leading fire simulation software that uses advanced models and numerical techniques to enhance simulation reliability and reduce simulation time. It has powerful pre- and post-processing capabilities to simplify model setup and effectively present results. Simtec allows efficient simulation of complex fire scenarios in areas like building fires, tunnel fires, and mining that were previously impossible or impractical with other software. It has been successfully used across industries for applications involving fire safety, HVAC, energy, and more.
Simtec is leading fire simulation software that uses advanced models and numerical techniques to enhance simulation reliability and reduce simulation time. It has powerful pre- and post-processing capabilities to simplify model setup and effectively present results. Simtec can efficiently simulate complex fire scenarios in areas like building fires, tunnel fires, and mine fires. It is well-suited for a wide range of fire safety and engineering applications.
This document provides an overview of performance-based design (PBD) for fire safety. It discusses how PBD differs from prescriptive design by focusing on objectives rather than parameters. The document outlines the history and evolution of PBD over the past few decades. Examples are given of when PBD may be applied, such as for unique architectural designs or to enable cost-effective solutions.
The document discusses fire safety standards for train stations as outlined in the NFPA 130 standard. It provides an overview of chapters and annexes that address elements like compartmentation, means of egress, and sample calculations for evaluating evacuation from platform areas. Specific sections summarized include definitions, requirements for stations, and guidance for performing egress calculations for center and side platform station layouts.
The document summarizes key aspects of the NFPA 101 Life Safety Code regarding occupancy classification. It explains that the Code classifies occupancies based on their use and hazards and that mixed and separated occupancies have different requirements. For mixed occupancies, the most restrictive Code requirements apply. For separated occupancies, fire resistance-rated separation is required between occupancies. It also notes some exceptions for incidental areas.
This document summarizes a lecture on crowd dynamics and pedestrian modeling for fire safety. It discusses the history and complexity of modeling crowd behavior, including early models that treated crowds as fluids and more recent agent-based models. It also outlines several computer models used for evacuation simulations, including grid models and continuous models, and limitations in modeling panic behavior and human factors.
24 OCT 2016 - Introduction to PyroSim & Engineering ApplicationsBSD Singapore
The leading industry graphical user interface for Fire Dynamics Simulator (FDS), PYROSIM, is recognized for its quick, reliable and precise simulation of complex fire models. It enables design teams to create complicated and cost-efficient designs in the preliminary stage without compromising desired level of fire safety.
The objective of this Workshop is for engineers to gain an understanding of fire dynamics and fire modeling. The guided hands-on workshop will help you to familiarize with the graphical interface and work towards customizing and prescribing your own fire scenarios.
Simtec is a leading CFD software for fire simulation that provides advanced models, fast computation, powerful pre- and post-processing tools, and a graphical user interface. It enhances simulation reliability and reduces simulation time. Simtec can efficiently simulate complex fires involving large geometries. It has applications in fire safety engineering, HVAC, energy engineering, and other industries.
Simtec is leading fire simulation software that uses advanced models and numerical techniques to enhance simulation reliability and reduce simulation time. It has powerful pre- and post-processing capabilities to simplify model setup and effectively present results. Simtec allows efficient simulation of complex fire scenarios in areas like building fires, tunnel fires, and mining that were previously impossible or impractical with other software. It has been successfully used across industries for applications involving fire safety, HVAC, energy, and more.
Simtec is leading fire simulation software that uses advanced models and numerical techniques to enhance simulation reliability and reduce simulation time. It has powerful pre- and post-processing capabilities to simplify model setup and effectively present results. Simtec can efficiently simulate complex fire scenarios in areas like building fires, tunnel fires, and mine fires. It is well-suited for a wide range of fire safety and engineering applications.
Sustainable Software Architecture - Open Tour DACH '22Markus Eisele
Rolling into summer in Europe, still recovering from the last two years another global thread pops back into people's minds. Extreme heat waves followed by severe weather phenomena remind all of us that climate change is a reality. As a father of two wonderful children that hopefully live beyond 2090, I was wondering what impact software architecture has on global warming and climate change and how I can build better and more sustainable solutions. This presentation and demo will provide you with tools, best practices and metrics (executives love numbers and dashboards) to prove the investment in Containers, OpenShift and a DevOps approach has a tangible return.
As presented at https://www.redhat.com/en/events/open-tour-geneva-2022
27-28 OCT 2016 - Pathfinder & Engineering ApplicationsBSD Singapore
Pathfinder is an emergency egress simulator that includes an integrated user interface and animated 3D results, allowing users to evaluate evacuation models. It combines flexibility in controlling the evacuation of people and their behaviors to deliver optimal 3D simulated results. The latest Pathfinder version includes new features such as new occupant profiles, vehicle agents and many more.
The objective of this 2-day workshop is for engineers to gain exposure and explore the practical use of Pathfinder for evacuation simulation.
The seminar brought together over 40 researchers from academia and industry to discuss the security challenges and opportunities of software-defined networking (SDN). SDN aims to simplify network management by separating the control plane from the data plane and controlling network flows from a centralized controller. While SDN promises benefits like improved security mechanisms, it also introduces new risks such as single points of failure and increased complexity.
The seminar included talks on SDN basics and security aspects. Participants discussed SDN issues in working groups focusing on topics like centralization, flexibility for attackers/defenders, and the attack surface. Additional groups addressed research directions to improve SDN security, architecture, operation in secure environments, and SDN-based security.
The document summarizes the key discussions from a seminar on the security challenges and opportunities of software-defined networking (SDN). SDN aims to simplify network management by separating the control plane from the data plane and controlling network flows from a centralized controller. While SDN provides benefits like flexibility and programmability, it also introduces new security risks as the centralized controller is a single point of failure and compromising it could give an attacker control of the entire network. Seminar participants debated these issues, discussing whether SDN security problems are manageable or if SDN networks could never be fully secured. Both opportunities and challenges around SDN security were considered.
Zahir Patel has over 12 years of experience as a Chartered Technical Safety Engineer in the oil/gas, nuclear, and process industries. He has led safety engineering for projects at various EPCM companies and held roles such as Principal Technical Safety Engineer. His experience includes design safety assessments, hazard management through safety studies, quantitative risk analysis, and developing safety cases. He has extensive knowledge of offshore oil/gas platforms and onshore gas terminals in the UK and North Africa.
The document is a presentation from FORENSE Tecnologia, a technology integration company based in Brazil. It discusses FORENSE's mission, vision and values. It also provides information about FORENSE's office in Sao Paulo, the services it offers including consulting, projects, and support. Additionally, it outlines some of FORENSE's technology partnerships and clientele. The majority of the presentation focuses on specific technology solutions and products from partners like Extreme Networks, Sourcefire, and Ruckus Wireless.
25-26 OCT 2016 - Advanced PyroSim & Engineering ApplicationsBSD Singapore
This two-day workshop on advanced PyroSim and engineering applications will provide hands-on training for engineers familiar with PyroSim. The workshop will cover updates on FDS 6.4 and Smokeview 6.3.6, the PyroSim workflow, running simulations using OpenMP, parallel and cluster execution, control logic modeling, modeling jet fans with validation studies, case studies using PyroSim, CFAST quick analysis, and results assessment and validation. The workshop will be led by Mr. Bryan Klein and include exercises modeling scenarios like ductless jet fans and underground car parks to build confidence in using PyroSim for performance-based fire engineering designs.
This document discusses the NOGESI project, which used Simware software to create a distributed simulation laboratory for the Spanish Ministry of Defense. Some key points:
- NOGESI used Simware and DDS (Data Distribution Service) to improve runtime interoperability between simulators, addressing long-standing issues with interoperability.
- It demonstrated interoperability between simulated, operational, and legacy systems in a HLA (High Level Architecture) federation.
- The architecture was based on an open, layered approach as defined by SISO's LSA (Layered Simulation Architecture) concept, using DDS as the underlying middleware to improve upon limitations of HLA.
- For under $1 million
Danfoss Shields Its Third Party Applications From Security Threats with patch...Flexera
Business Challenge: Across the organisation, Danfoss employees had increased their usage of third-party applications, and IT security required a method to effectively assess and monitor the software for vulnerabilities.
The MiCADO Master Node supports the operation, management and monitoring of applications based on specific parameters such CPU or network traffic, detecting bottlenecks, and realising the autoscaling control loops. The desired deployment and run-time characteristics of the application are defined in a TOSCA-based Application Description Template (ADT) that provides all relevant information, application requirements, infrastructure characteristics and scaling policies to roll out the Infrastructure and manage the application cluster. Additionally, scaling decision can be further improved with a machine learning-based optimiser.
MiCADO - Auto-scaling Framework for Docker Containers, orchestrated by Kubern...Project COLA
09/2019 MiCADO by Project COLA Flyer
MiCADO combines:
Orchestration of Application Cluster in multiple Cloud environments
Parallel Scaling of Docker container & virtual machines
Automated Deployment of Application Cluster
High Availability
Discover more:
www.micado-scale.eu
www.project-cola.eu
Optimization of Fire Suppression using Fire Dynamics SimulatorIRJET Journal
This document discusses optimizing fire suppression systems using fire dynamics simulation. It focuses on using the Fire Dynamics Simulator (FDS) to optimize smoke control systems in buildings and water mist fire suppression systems. The researchers developed an optimum design method for these systems using FDS that proved useful for fire prevention system design. They aim to apply this optimization approach coupling FDS and optimization methods to other urban safety designs.
The document discusses fires in automotive manufacturing facilities and solutions for fire detection. It begins by describing devastating fires at BMW and automotive supplier plants and the consequences of disruption. It then discusses the risks of fires from manufacturing processes and standards for fire detection technology in the UK. Finally, it summarizes three key detection options - infrared, aspirating smoke detectors, and video smoke detection - and their effectiveness in the automotive sector.
CMOS digitally programmable analog front-ends for third generation wireless a...Hoopeer Hoopeer
CMOS digitally programmable analog front-ends for third generation wireless applications, CMOS baseband circuit techniques for integrated multi-standard wireless receivers, Compact high performance analog CMOS baseband design solutions for multistandard wireless transceivers, A Wide Linear Output Range Biopotential Amplifier for Physiological Measurement Frontend, Roadmap to a Ph.D. Degree (ECE),
Synopsys Custom Compiler™, Pulsic, Dan Clein's status of Virtuoso, Custom Compiler, and Pulsic tools, Layout Book, FPAA, Silicon mitus, COSMIC,
The Vital Role of SP3D in Plant Designing!jaymicrosoftva
SP3D or Smart Plant 3D Design is very popular software developed by an American software and development company: Intergraph Corp. It is widely used today for designing pipe networks, HVAC, and plant design projects. This software is used around the world across various industries like petroleum and petrochemicals, metal and mining, marine, shipbuilding, oil and gas, civil architecture, and others.
For more info visit: http://www.multisoftvirtualacademy.com/cad-cam-cae/smartplant-sp3d-online-training
This document provides information about the MSc/PgDip/PgCert in Advanced Lightweight Structures and Impact program at Cranfield University. The program prepares students for careers related to designing lightweight structures through novel materials while maintaining structural integrity and safety, including crashworthiness. Students learn skills in structural analysis, numerical simulation, and crash/impact modeling through coursework, a group design project, and an individual research thesis. Graduates have gone on to work for companies in the aerospace, automotive, and defense industries.
Definition of project profiles to streamline MBSE deployment effortsObeo
Discover how Capella has been deployed and used in a large range of projects in the field of the energy industry with Assystem
Assystem has over 50 years of experience providing industrial infrastructures with engineering services and managing projects complex in size, technological content, and safety requirements.
With the help of Capella and Model-Based System Engineering (MBSE), Assystem as a leading engineering company is helping its clients to face big challenges against an exponential increase in demand worldwide for energy combined with the goals of achieving sustainability of energy supply and reductions in greenhouse gas emissions.
During this webinar, you will:
Get an overview of their pathway towards MBSE approach to structure projects more and more complex and organizations more and more transverse, their MBSE motivations as a communication means for extended organization, and for co-development within other engineering team.
Discover how their initiative architecture has provided both a modeling platform and methodology that can be flexibly adapted to best fit their engineering, construction and research context.
Understand how their systems architects can closely collaborate with engineers responsible for multiple design, construction and commissioning tasks, within a robust framework to ensure both quick and long term added value.
This CV is for Max Kleiner, a software engineer and consultant born in 1959 in Bern, Switzerland. He has over 20 years of experience in areas like CBT, e-learning, testing, OOP, UML, and system architecture. He has worked as a manager, developer, consultant, and author. Currently he works as a lecturer and consultant for a university and companies, teaching topics like microcontrollers and IoT. He holds a Master's degree in Business Administration and various IT certifications. His skills include programming languages like C, Delphi, and Object Pascal as well as technologies like UML, SQL Server, and project management.
MONDO Project @ H2020 Info Day- Cloud computing et Technologies logicielles –...Alessandra Bagnato
Session d’information Cloud computing, Software
Vendredi 11 décembre 2015
Dans les locaux de la DGE, à Ivry-sur-Seine
(67, rue Barbès - Métro 7 / Tramway 3a « Porte de Choisy »)
Session d’information sur les appels à projets (salle 273/263 de 10h à 12h30)
Programme prévisionnel 09:30 - 10:00 Enregistrement 10:00 - 10:20 Ouverture
Frédéric LAURENT et Rémi ARQUEVAUX, représentants au comité de programme TIC 10:20 - 10:50 Témoignage projet en cours Alessandra BAGNATO SOFTEAM R&D Department 10:50 - 11:40 Présentation des appels à projets 2016
Francisco MEDEIROS, Deputy Head of Unit DG CONNECT Unit E2 Software & Services, Cloud Computing
Cloud Computing - ICT 6
Software technologies - ICT 10
Questions/Réponses 11:40 - 12:10 Retour d’expérience d’évaluation de projet H2020 A confirmer 12:10 - 12:30 Comment être aidé à monter son projet
Christian Dubarry, Bpifrance
Présentation des dispositifs APT et APE à destination des PME
Frédéric Laurent, MENESR
Le nouveau mécanisme (MERSEI) de l'ANR
Inscription gratuite mais obligatoire avant le :
Mardi 08 décembre 2015
Inscription en ligne dans la limite des places dis
The document describes DriveAssist, a driver assistance system for Android that uses vehicle-to-everything (V2X) communications. It provides an overview of the motivation and state of art for V2X communications and smartphone integration in vehicles. The system architecture and key functionality of DriveAssist are presented, including receiving safety messages from other vehicles and infrastructure and generating warnings to drivers. Live demos of warning scenarios are shown and future work plans to evaluate the system and improve the user interface are discussed.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Sustainable Software Architecture - Open Tour DACH '22Markus Eisele
Rolling into summer in Europe, still recovering from the last two years another global thread pops back into people's minds. Extreme heat waves followed by severe weather phenomena remind all of us that climate change is a reality. As a father of two wonderful children that hopefully live beyond 2090, I was wondering what impact software architecture has on global warming and climate change and how I can build better and more sustainable solutions. This presentation and demo will provide you with tools, best practices and metrics (executives love numbers and dashboards) to prove the investment in Containers, OpenShift and a DevOps approach has a tangible return.
As presented at https://www.redhat.com/en/events/open-tour-geneva-2022
27-28 OCT 2016 - Pathfinder & Engineering ApplicationsBSD Singapore
Pathfinder is an emergency egress simulator that includes an integrated user interface and animated 3D results, allowing users to evaluate evacuation models. It combines flexibility in controlling the evacuation of people and their behaviors to deliver optimal 3D simulated results. The latest Pathfinder version includes new features such as new occupant profiles, vehicle agents and many more.
The objective of this 2-day workshop is for engineers to gain exposure and explore the practical use of Pathfinder for evacuation simulation.
The seminar brought together over 40 researchers from academia and industry to discuss the security challenges and opportunities of software-defined networking (SDN). SDN aims to simplify network management by separating the control plane from the data plane and controlling network flows from a centralized controller. While SDN promises benefits like improved security mechanisms, it also introduces new risks such as single points of failure and increased complexity.
The seminar included talks on SDN basics and security aspects. Participants discussed SDN issues in working groups focusing on topics like centralization, flexibility for attackers/defenders, and the attack surface. Additional groups addressed research directions to improve SDN security, architecture, operation in secure environments, and SDN-based security.
The document summarizes the key discussions from a seminar on the security challenges and opportunities of software-defined networking (SDN). SDN aims to simplify network management by separating the control plane from the data plane and controlling network flows from a centralized controller. While SDN provides benefits like flexibility and programmability, it also introduces new security risks as the centralized controller is a single point of failure and compromising it could give an attacker control of the entire network. Seminar participants debated these issues, discussing whether SDN security problems are manageable or if SDN networks could never be fully secured. Both opportunities and challenges around SDN security were considered.
Zahir Patel has over 12 years of experience as a Chartered Technical Safety Engineer in the oil/gas, nuclear, and process industries. He has led safety engineering for projects at various EPCM companies and held roles such as Principal Technical Safety Engineer. His experience includes design safety assessments, hazard management through safety studies, quantitative risk analysis, and developing safety cases. He has extensive knowledge of offshore oil/gas platforms and onshore gas terminals in the UK and North Africa.
The document is a presentation from FORENSE Tecnologia, a technology integration company based in Brazil. It discusses FORENSE's mission, vision and values. It also provides information about FORENSE's office in Sao Paulo, the services it offers including consulting, projects, and support. Additionally, it outlines some of FORENSE's technology partnerships and clientele. The majority of the presentation focuses on specific technology solutions and products from partners like Extreme Networks, Sourcefire, and Ruckus Wireless.
25-26 OCT 2016 - Advanced PyroSim & Engineering ApplicationsBSD Singapore
This two-day workshop on advanced PyroSim and engineering applications will provide hands-on training for engineers familiar with PyroSim. The workshop will cover updates on FDS 6.4 and Smokeview 6.3.6, the PyroSim workflow, running simulations using OpenMP, parallel and cluster execution, control logic modeling, modeling jet fans with validation studies, case studies using PyroSim, CFAST quick analysis, and results assessment and validation. The workshop will be led by Mr. Bryan Klein and include exercises modeling scenarios like ductless jet fans and underground car parks to build confidence in using PyroSim for performance-based fire engineering designs.
This document discusses the NOGESI project, which used Simware software to create a distributed simulation laboratory for the Spanish Ministry of Defense. Some key points:
- NOGESI used Simware and DDS (Data Distribution Service) to improve runtime interoperability between simulators, addressing long-standing issues with interoperability.
- It demonstrated interoperability between simulated, operational, and legacy systems in a HLA (High Level Architecture) federation.
- The architecture was based on an open, layered approach as defined by SISO's LSA (Layered Simulation Architecture) concept, using DDS as the underlying middleware to improve upon limitations of HLA.
- For under $1 million
Danfoss Shields Its Third Party Applications From Security Threats with patch...Flexera
Business Challenge: Across the organisation, Danfoss employees had increased their usage of third-party applications, and IT security required a method to effectively assess and monitor the software for vulnerabilities.
The MiCADO Master Node supports the operation, management and monitoring of applications based on specific parameters such CPU or network traffic, detecting bottlenecks, and realising the autoscaling control loops. The desired deployment and run-time characteristics of the application are defined in a TOSCA-based Application Description Template (ADT) that provides all relevant information, application requirements, infrastructure characteristics and scaling policies to roll out the Infrastructure and manage the application cluster. Additionally, scaling decision can be further improved with a machine learning-based optimiser.
MiCADO - Auto-scaling Framework for Docker Containers, orchestrated by Kubern...Project COLA
09/2019 MiCADO by Project COLA Flyer
MiCADO combines:
Orchestration of Application Cluster in multiple Cloud environments
Parallel Scaling of Docker container & virtual machines
Automated Deployment of Application Cluster
High Availability
Discover more:
www.micado-scale.eu
www.project-cola.eu
Optimization of Fire Suppression using Fire Dynamics SimulatorIRJET Journal
This document discusses optimizing fire suppression systems using fire dynamics simulation. It focuses on using the Fire Dynamics Simulator (FDS) to optimize smoke control systems in buildings and water mist fire suppression systems. The researchers developed an optimum design method for these systems using FDS that proved useful for fire prevention system design. They aim to apply this optimization approach coupling FDS and optimization methods to other urban safety designs.
The document discusses fires in automotive manufacturing facilities and solutions for fire detection. It begins by describing devastating fires at BMW and automotive supplier plants and the consequences of disruption. It then discusses the risks of fires from manufacturing processes and standards for fire detection technology in the UK. Finally, it summarizes three key detection options - infrared, aspirating smoke detectors, and video smoke detection - and their effectiveness in the automotive sector.
CMOS digitally programmable analog front-ends for third generation wireless a...Hoopeer Hoopeer
CMOS digitally programmable analog front-ends for third generation wireless applications, CMOS baseband circuit techniques for integrated multi-standard wireless receivers, Compact high performance analog CMOS baseband design solutions for multistandard wireless transceivers, A Wide Linear Output Range Biopotential Amplifier for Physiological Measurement Frontend, Roadmap to a Ph.D. Degree (ECE),
Synopsys Custom Compiler™, Pulsic, Dan Clein's status of Virtuoso, Custom Compiler, and Pulsic tools, Layout Book, FPAA, Silicon mitus, COSMIC,
The Vital Role of SP3D in Plant Designing!jaymicrosoftva
SP3D or Smart Plant 3D Design is very popular software developed by an American software and development company: Intergraph Corp. It is widely used today for designing pipe networks, HVAC, and plant design projects. This software is used around the world across various industries like petroleum and petrochemicals, metal and mining, marine, shipbuilding, oil and gas, civil architecture, and others.
For more info visit: http://www.multisoftvirtualacademy.com/cad-cam-cae/smartplant-sp3d-online-training
This document provides information about the MSc/PgDip/PgCert in Advanced Lightweight Structures and Impact program at Cranfield University. The program prepares students for careers related to designing lightweight structures through novel materials while maintaining structural integrity and safety, including crashworthiness. Students learn skills in structural analysis, numerical simulation, and crash/impact modeling through coursework, a group design project, and an individual research thesis. Graduates have gone on to work for companies in the aerospace, automotive, and defense industries.
Definition of project profiles to streamline MBSE deployment effortsObeo
Discover how Capella has been deployed and used in a large range of projects in the field of the energy industry with Assystem
Assystem has over 50 years of experience providing industrial infrastructures with engineering services and managing projects complex in size, technological content, and safety requirements.
With the help of Capella and Model-Based System Engineering (MBSE), Assystem as a leading engineering company is helping its clients to face big challenges against an exponential increase in demand worldwide for energy combined with the goals of achieving sustainability of energy supply and reductions in greenhouse gas emissions.
During this webinar, you will:
Get an overview of their pathway towards MBSE approach to structure projects more and more complex and organizations more and more transverse, their MBSE motivations as a communication means for extended organization, and for co-development within other engineering team.
Discover how their initiative architecture has provided both a modeling platform and methodology that can be flexibly adapted to best fit their engineering, construction and research context.
Understand how their systems architects can closely collaborate with engineers responsible for multiple design, construction and commissioning tasks, within a robust framework to ensure both quick and long term added value.
This CV is for Max Kleiner, a software engineer and consultant born in 1959 in Bern, Switzerland. He has over 20 years of experience in areas like CBT, e-learning, testing, OOP, UML, and system architecture. He has worked as a manager, developer, consultant, and author. Currently he works as a lecturer and consultant for a university and companies, teaching topics like microcontrollers and IoT. He holds a Master's degree in Business Administration and various IT certifications. His skills include programming languages like C, Delphi, and Object Pascal as well as technologies like UML, SQL Server, and project management.
MONDO Project @ H2020 Info Day- Cloud computing et Technologies logicielles –...Alessandra Bagnato
Session d’information Cloud computing, Software
Vendredi 11 décembre 2015
Dans les locaux de la DGE, à Ivry-sur-Seine
(67, rue Barbès - Métro 7 / Tramway 3a « Porte de Choisy »)
Session d’information sur les appels à projets (salle 273/263 de 10h à 12h30)
Programme prévisionnel 09:30 - 10:00 Enregistrement 10:00 - 10:20 Ouverture
Frédéric LAURENT et Rémi ARQUEVAUX, représentants au comité de programme TIC 10:20 - 10:50 Témoignage projet en cours Alessandra BAGNATO SOFTEAM R&D Department 10:50 - 11:40 Présentation des appels à projets 2016
Francisco MEDEIROS, Deputy Head of Unit DG CONNECT Unit E2 Software & Services, Cloud Computing
Cloud Computing - ICT 6
Software technologies - ICT 10
Questions/Réponses 11:40 - 12:10 Retour d’expérience d’évaluation de projet H2020 A confirmer 12:10 - 12:30 Comment être aidé à monter son projet
Christian Dubarry, Bpifrance
Présentation des dispositifs APT et APE à destination des PME
Frédéric Laurent, MENESR
Le nouveau mécanisme (MERSEI) de l'ANR
Inscription gratuite mais obligatoire avant le :
Mardi 08 décembre 2015
Inscription en ligne dans la limite des places dis
The document describes DriveAssist, a driver assistance system for Android that uses vehicle-to-everything (V2X) communications. It provides an overview of the motivation and state of art for V2X communications and smartphone integration in vehicles. The system architecture and key functionality of DriveAssist are presented, including receiving safety messages from other vehicles and infrastructure and generating warnings to drivers. Live demos of warning scenarios are shown and future work plans to evaluate the system and improve the user interface are discussed.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
Carlos Rallo iii fds
1. 1
Carlos Rallo de la Cruz
M. Arch. UPM
M. Eng. in Fire safety. UC3M
Dipl. Project Management. PUC
PhD Candidate CERTEC. UPC
Contact
carlosrallo@gmail.com
+34 647865702
Madrid, Spain
www.rallodelacruz.com
www.arquitecturayfuego.es
www.linkedin.com/in/carlosrallo
Fire Safety impact in Building Design
01. Prescriptive Design 05/05/2017
02. Performance Based Design 05/05/2017
03. NFPA 101 Live Safety Code 12/05/2017
04. Fire Safety in complex Architecture designs 12/05/2017
05. CFD / Fire Dynamics Simulator 26/05/2017
06. Crowd Dynamics / FDS+Evac, MassMotion 02/06/2017
Máster en Ingeniería de
Seguridad contra Incendios
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04. CFD / Fire Dynamics Simulator
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FDS
PyroSim - Thunderhead Engineering
Examples
Schedule
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1 The Basics of FDS
1. Introduction
2. Getting Started
3. Running FDS
4. User Support
2 Writing an FDS Input File
5 The Basic Structure of an Input file
6 Setting the Bounds of Time and Space
7 Building the Model
8 Fire and Thermal Boundary Conditions
9 Ventilation
10 Atmospheric Effects
11 User-Specified Functions
12 Chemical Species
13 Combustion
14 Radiation
15 Particles and Droplets
16 Devices and Control Logic
17 Output
18 Alphabetical List of Input Parameters
3 FDS and Smokeview Development Tools
19. The FDS/Smokeview Rwpository
20.Compiling FDS
21. Output File Formats
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• The software Fire Dynamics Simulator (FDS), is a computational fluid dynamics (CFD)
model of fire-driven fluid flow.
• FDS solves numerically a form of the Navier-Stokes equations appropriate for low-
speed, thermally-driven flow with an emphasis on smoke and heat transport from fires.
• Smokeview is a separate visualization program that is used to display the results of an
FDS simulation.
• Turbulence is treated by means of Large Eddy Simulation (LES). It is possible to
perform a Direct Numerical Simulation (DNS) if the underlying numerical mesh is fine
enough. LES is the default mode of operation.
1 The Basics of FDS
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where u is the fluid velocity, p is the fluid pressure, ρ is the fluid density,
and μ is the fluid dynamic viscosity. The different terms correspond to the
inertial forces (1), pressure forces (2), viscous forces (3), and the
external forces applied to the fluid (4).
These equations are always solved together with the continuity equation:
The Navier-Stokes equations represent the conservation of momentum, while
the continuity equation represents the conservation of mass.
1 The Basics of FDS
Navier-Stokes equations
These equations are a system of nonlinear partial differential equations
for abstract vector fields of any size.
SFPE Handbook of Fire Protection Engineering - Introduction to
Mechanics of Fluids
https://www.youtube.com/watch?v=EsWvCBqx1Xc
http://www.librosmaravillosos.com/17ecuacionesquecambiaronelmundo/capit
ulo10.html
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• FDS is a computer program that solves equations that describe the evolution of fire.
• It is a Fortran program that reads input parameters from a text file, computes a numerical
solution to the governing equations, and writes user-specified output data to files.
• Smokeview is a companion program that reads FDS output files and produces animations
on the computer screen.
• Each FDS simulation is controlled by a single text-based input file ending with the file
extension .fds. This input file can be written directly with a text editor or with the help of
a third-party graphical user interface (GUI).
1 The Basics of FDS
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• The operation of FDS is based on a single ASCII text file containing parameters organized
into namelist groups.
• ASCII – American Standard Code for Information Interchange. There are 256 characters that
make up the standard ASCII text.
• A namelist is a Fortran input record.
• Parameters are specified within the input file by using namelist formatted records. Each
namelist record begins with the ampersand character, &, followed immediately by the name of
the namelist group, then a comma-delimited list of the input parameters, and finally a forward
slash, /.
• Do not add anything to a namelist line other than the parameters and values appropriate for
that group. Otherwise, FDS will stop immediately upon execution.
1 The Basics of FDS
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How to Acquire FDS and Smokeview
https://pages.nist.gov/fds-smv/
Along with the FDS User’s Guide, there are resources available on the Internet.
• “Issue Tracker” For reporting bugs and requesting new features.
• “Discussion Group” For clarifying questions and discussing.
• “Wiki Pages” That provide supplementary information about FDS-SMV
development, third-party tools, and other resources.
1 The Basics of FDS
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1 The Basics of FDS
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MS Windows
Click Type “cmd” Change directories to where the input file is located
cmd
cd.. => folder back
dir => directory
cd desktop (folder) => open desktop
cd example (file) => open example
To Run the software => fds example.fds
1 The Basics of FDS
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1 The Basics of FDS
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1 The Basics of FDS
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FDS
IMPUT => .FDS
Boundary => .BF
3D Smoke => .S3D
Particle => .PART
Slice / vector => .SF
Iso-Surface => .ISO
Smoke View (Graphics)
.OUT => Resultados
.SMW => Smoke view
Common Error Statements
Input File Errors
Numerical Instability Errors
Inadequate Computer Resources
Run-Time Errors
File Writing Errors
Poisson Initialization
Until STOP: FDS completed successfully
1 The Basics of FDS
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Smokeview
1 The Basics of FDS
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Smoke view!!!
1 The Basics of FDS
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1 The Basics of FDS
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1 The Basics of FDS
See: Smokeview, A Tool for Visualizing
Fire Dynamics Simulation Data
Volume I: User’s Guide
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There are two ways that FDS can be run in parallel; that is, exploit multiple cores on a single computer or
multiple processors/cores distributed over multiple computers on a network or compute cluster.
The first way is OpenMP (Open Multi-Processing) which allows a single computer to run a single or multiple
mesh FDS simulation on multiple cores.
The use of OpenMP does not require the computational domain to be broken up into multiple meshes, and it
will still work with cases that have multiple meshes defined.
The second way to run FDS in parallel is by way of MPI (Message Passing Interface). Here, the computational
domain must be divided into multiple meshes and typically each mesh is assigned its own process. These
processes can be limited to a single computer, or they can be distributed over a network.
1 The Basics of FDS
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2 Writing an FDS Input File
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&HEAD CHID=‘couch', TITLE=‘Single Couch Test case' /
CHID is a string of 30 characters or less used to tag the output files.
TITLE is a string of 60 characters or less that describes the simulation
The HEAD Namelist Group
2 Writing an FDS Input File
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The TIME Namelist Group
&TIME T_END=600. /
If T_END is set to zero, only the set-up work is performed, allowing you to quickly
check the geometry in Smokeview.
If you want the time line to start at a number other than zero, you can use the
parameter T_BEGIN to specify the time written to file for the first time step.
2 Writing an FDS Input File
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The MESH Namelist Group
&MESH IJK=24,10,24, XB=1.1,3.5,3.6,4.6,0.0,2.4 /
The mesh is subdivided into uniform cells via the parameter IJK.
All FDS calculations must be performed
within a domain that is made up of
rectilinear volumes called meshes. Each
mesh is divided into rectangular cells, the
number of which depends on the desired
resolution of the flow dynamics. MESH is
the namelist group that defines the
computational domain.
2 Writing an FDS Input File
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The MESH Namelist Group
• Any obstructions or vents that extend beyond the boundary of the mesh are
cut off at the boundary. There is no penalty for defining objects outside of the
mesh, and these objects will not appear in Smokeview.
• If more than one mesh is used, there should be a MESH line for each.
• The order in which these lines are entered in the input file matters. In
general, the meshes should be entered from finest to coarsest.
• FDS assumes that a mesh listed first in the input file has precedence over a
mesh listed second if the two meshes overlap.
2 Writing an FDS Input File
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The MESH Namelist Group
• Meshes can overlap, abut, or not touch at all.
• To run FDS in parallel using MPI (Message Passing Interface), you must
break up the computational domain into multiple meshes so that the workload
can be divided among the computers.
• Usually in a MPI calculation, each mesh is assigned its own process, and
each process its own processor. However, it is possible to assign more than
one mesh to a single process, and it is possible to assign more than one
process to a single processor.
2 Writing an FDS Input File
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The MESH Namelist Group
https://www.youtube.com/watch?v=duhhbOb2L2Y
Mesh Alignment
2 Writing an FDS Input File
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The MESH Namelist Group
Mesh Resolution
Mesh Resolution depends considerably on what you are trying to accomplish. In general, you
should build an FDS input file using a relatively coarse mesh, and then gradually refine the
mesh until you do not see appreciable differences in your results. This is referred to as a mesh
sensitivity study.
For simulations involving buoyant plumes, a measure of how well the flow field is resolved is
given by the non-dimensional expression D=dx, where D is a characteristic fire diameter
and dx is the nominal size of a mesh cell1. The quantity, ˙Q, is the total heat release rate of
the fire. If it changes over time, you should consider the corresponding change in resolution.
The quantity D=dx can be thought of as the number of computational cells spanning the
characteristic (not necessarily the physical)diameter of the fire. The more cells spanning the
fire, the better the resolution of the calculation.
Third Party Tools
http://www.koverholt.com/fds-mesh-size-calc/
2 Writing an FDS Input File
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The MISC Namelist Group
MISC is the namelist group of global miscellaneous input parameters. It contains parameters that do not
logically fit into any other category.
Only one MISC line should be entered in the data file. For example, the input line &MISC TMPA=25. /
Sets the ambient temperature at 25 C.
DNS A logical parameter that, if .TRUE., directs FDS to perform a Direct
Numerical Simulation, as opposed to the default Large Eddy Simulation
(LES). This feature is appropriate only for simulations that use mesh cells
that are on the order of a millimeter or less in size, or for diagnostic
purposes.
GVEC The 3 components of gravity, in m/s2. The default is GVEC=0,0,-9.81.
NOISE FDS initializes the flow field with a very small amount of “noise” to prevent
the development of a perfectly symmetric flow when the boundary and initial
conditions are perfectly symmetric. To turn this off, set NOISE=.FALSE. To
control the amount of noise, set NOISE_VELOCITY. Its default value is
0.005 m/s.
OVERWRITE If .FALSE. FDS checks for the existence of CHID.out and stops execution if
it exists.
P_INF Background pressure (at the ground) in Pa. The default is 101325 Pa.
TMPA Ambient temperature, the temperature of everything at the start of the
simulation. The default is 20 C.
2 Writing an FDS Input File
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The MISC Namelist Group
By default, gravity points in the negative z direction, or more simply, downward. However, to change
the direction of gravity to model a sloping roof or tunnel, for example, specify the gravity vector on
the MISC line with a triplet of numbers of the form GVEC=0.,0.,-9.81, with units of m/s2. This is
the default, but it can be changed to be any direction.
The slope of the tunnel might change as you travel through it; thus, you can tell FDS where to
redirect gravity.
See FDS_User_Guide_6.4.6 Special Topic: Defying Gravity
2 Writing an FDS Input File
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The INIT Namelist Group
Usually, an FDS simulation begins at time t = 0 with ambient conditions. The air temperature is
assumed constant with height, and the density and pressure decrease with height (the z direction).
This decrease is not noticed in most building scale calculations, but it is important in large outdoor
simulations.
Species Here, within the region whose bounds are given by the sextuplet XB, the
initial mass fractions of oxygen and propane will be initialized to 0.21 and
0.06, respectively. You must specify the gas species using the SPEC
namelist group.
Temperature To modify the local initial temperature:
2 Writing an FDS Input File
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The PRES Namelist Group
Pressure Considerations in Long Tunnels or Vents
The CLIP Namelist Group
Temperature and density bounds are input under the namelist group called CLIP. You only need to set these
values if you notice that one of them appears to be “cut off” when examining the results in Smokeview.
2 Writing an FDS Input File
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The SURF Namelist Group
Built the model.
Geometry of the space
to be modeled and
applying boundary
conditions to the solid
surfaces.
Defines the structure
of all solid surfaces
or openings within or
bounding the flow
domain.
2 Writing an FDS Input File
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The OBST Namelist Group
Used to define obstructions. The entire geometry of the model is made up entirely of rectangular
solids, each one introduced on a single line in the input file.
Obstructions may be created or removed during a simulation.
See Section 16.4.1 for details.
Use SURF_IDS, an array of three character strings specifying the boundary condition IDs for the top,
sides and bottom of the obstruction, respectively
Put a fire on top of the obstruction. This is a simple way of prescribing a burner.
2 Writing an FDS Input File
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The OBST Namelist Group
Thin Obstructions
Overlapping Obstructions
If the faces of two obstructions overlap each other, FDS will choose the surface
properties of the obstruction that is specified second in the input file.
2 Writing an FDS Input File
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The OBST Namelist Group
Transparent or Outlined Obstructions
Obstructions can be made semi-transparent by assigning a TRANSPARENCY on the
OBST line. This real parameter ranges from 0 to 1, with 0 being fully transparent.
The parameter should always be set along with either COLOR or an RGB triplet. It
can also be specified on the appropriate SURF line, along with a color indicator. If
you want the obstruction to be invisible, set COLOR=’INVISIBLE’.
Obstructions are typically drawn as solids in Smokeview. To draw an outline
representation, set OUTLINE equal to .TRUE.
2 Writing an FDS Input File
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The HOLE Namelist Group
Carve a hole out of an existing obstruction
To allow a hole to be controlled with either the CTRL or DEVC namelist groups, you will need to add the CTRL_ID
or DEVC_ID parameter respectively, to the HOLE line.
2 Writing an FDS Input File
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The VENT Namelist Group
Used to prescribe planes adjacent to obstructions or external walls.
A VENT must always be attached to a solid obstruction.
Two of the six coordinates must be the same, denoting a plane as opposed to a solid.
A fire, for example, is usually created by first generating a solid obstruction via an OBST line, and
then specifying a VENT somewhere on one of the faces of the solid with a SURF_ID with the
characteristics of the thermal and combustion properties of the fuel.
See Section 9.1 for instructions on specifying different types of fans that allow gases to flow through.
x = XMAX, x = XMIN, y = YMAX, y = YMIN, z = ZMAX or z = ZMIN
Circular Vents
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The VENT Namelist Group
Open Vents SURF_ID=’OPEN’
This is used only if the VENT is applied to the exterior boundary of the computational domain, where
it denotes a passive opening to the outside. By default, FDS assumes that the exterior boundary of
the computational domain (the XBs on the MESH line) is a solid wall.
If you assume a temperature other than ambient, specify TMP_EXTERIOR along with
SURF_ID=’OPEN’.
VENT functionality can be controlled in some cases using “devices” and “controls,” specified via a DEVC_ID or a
CTRL_ID. See Section 16.4.2 for details.
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Coloring Obstructions, Vents, Surfaces
and Meshes
The three RGB integers range from 0 to
255, indicating the amount of Red,
Green and Blue that make up the color.
If you define the COLOR by name, it is
important that you type the name
exactly as it is listed in the color tables.
Color parameters can be specified on a
SURF line, in which case all surfaces of
that type will have that color, or color
parameters can be applied directly to
obstructions or vents.
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Coloring Obstructions, Vents, Surfaces
and Meshes
Texture Maps
Pasting images onto the obstructions for the purpose of making the Smokeview images more realistic.
Assuming that a JPEG file called paneling.jpg exists in the working directory.
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The MULT Namelist Group
Sometimes obstructions, holes and vents are repeated over and over in the input file.
if a particular set of objects repeats itself in a regular pattern, you can use a utility known as a multiplier.
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Fire and Thermal Boundary Conditions
The properties of each material required are designated via the MATL namelist group.
These properties indicate how rapidly the materials heat up, and how they burn. Each MATL entry in
the input file must have an ID, or name, so that they may be associated with a particular SURF via
the parameter MATL_ID.
define a brick wall that is 4.9 m long, 1 m high, and 20 cm thick.
Note that the thickness of the wall indicated by the OBST line is independent of the THICKNESS
specified by the SURF line. This allows an obstruction to snap to the local grid but still have the
heat transfer solution reflect the actual thickness.
The MALT Namelist Group
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Fire and Thermal Boundary Conditions, Heat Conduction in Solids
The MALT Namelist Group
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The easiest way to describe a supply or exhaust fan is to specify a VENT on a solid surface, and designate a SURF_ID with
some form of specified velocity or volume flow rate. The normal component of velocity is usually specified directly via the
parameter VEL. If VEL is negative, the flow is directed into the computational domain, i.e., a supply vent. If VEL is positive,
the flow is drawn out of the domain, i.e., an exhaust vent. For example, the lines
create a VENT that supplies air at a velocity of 1.2 m/s through an area of nominally 0.16 m2, depending on the
realignment of the VENT onto the FDS mesh.
In this example the VENT may not be exactly 0.16 m2 in area because it may not align exactly with the computational
mesh. If this is the case then VOLUME_FLOW can be prescribed instead of VEL. The units are m3/s. If the flow is entering
the computational domain, VOLUME_FLOW should be a negative number, the same convention as for VEL.
Ventilation
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Total Mass Flux To control the total mass flow rate per unit area (kg/(m2 s)) via the
parameter MASS_FLUX_TOTAL
Heaters You can create a simple heating vent by changing the temperature of the
incoming air &SURF ID='BLOWER', VEL=-1.2, TMP_FRONT=50. /
The VENT with SURF_ID=’BLOWER’ would blow 50 C air at 1.2 m/s into the
flow domain.
Louvered Vents
Most real supply vents are covered with some sort of grill or louvers which act to redirect, or diffuse, the incoming air
stream.
is a boundary condition for a louvered vent that pushes air into the space with a normal velocity of 2 m/s and a tangential
velocity of 3 m/s in the first of the two tangential directions.
In these cases, you might consider simply specifying a flat plate obstruction in front of the VENT with an offset of one
mesh cell. The plate will simply redirect the air flow in all lateral directions.
Ventilation
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There are occasions where simply defining fixed flow and fixed species boundary conditions is not
sufficient to model the behavior of an HVAC (Heating, Ventilation, and Air Conditioning) system.
The HAVC Namelist Group
Ventilation
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Temperature Stratification
Wind
Atmospheric Effects
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There are several parameters that may vary in time, temperature, or space. The namelist groups,
RAMP and TABL, allow you to control the behavior of these parameters.
RAMP allows you to specify a function with one independent variable
(such as time) and one dependent variable (such as velocity).
TABL allows you to specify a function of multiple independent variables
(such as a solid angle) and multiple dependent variables (such as a
sprinkler flow rate and droplet speed).
User-Specified Functions
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When the calculation starts temperatures, velocities, burning rates, etc., are ramped-up from their starting values
because nothing can happen instantaneously. By default, everything is ramped-up to their prescribed values in
approximately 1 s.
However, you can control the rate at which things turn on, or turn off, by specifying time histories either with pre-
defined functions or with user-defined functions. The parameters TAU_Q, TAU_T, and TAU_V indicate that the
heat release rate (HRRPUA); surface temperature (TMP_FRONT); and/or normal velocity (VEL, VOLUME_FLOW),
or MASS_FLUX_TOTAL are to ramp up to their prescribed values in TAU seconds and remain there.
User-Specified Functions
https://www.youtube.com/watch?v=PyWBZLdQn38
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Particles and Droplets
The PART Namelist Group
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Particles and Droplets
The PART Namelist Group
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Devices and Control Logic
The DEVC Namelist Group
All devices are designated via the namelist group DEVC. Every device DEVC contains a
QUANTITY that it monitors. Usually this QUANTITY is written out to a commadelimited
spreadsheet file with the suffix _devc.csv. The quantities are listed in Table 17.3. There are
two types of DEVC output.
• The first is a time history of the given QUANTITY over the course of the simulation.
• The second is a time-averaged profile consisting of a linear array of point devices.
In addition, advanced functionality and properties are accommodated via additional namelist
groups called CTRL (Control) and PROP (Properties).
Each device needs to be sited either at a point within the computational domain,
properties of the device are contained on the PROP line designated by PROP_ID,
which tells FDS to record the temperature at the given point as a function of time.
The ID is a label in the output file whose name is CHID_devc.csv.
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Devices and Control Logic
The DEVC Namelist Group
Some devices have a particular orientation. The parameter IOR (Index of Orientation) is required for
any device that is placed on the surface of a solid. The values 1 or 2 or 3 indicate the direction
that the device “points.” For example, IOR=-1 means that the device is mounted on a wall that
faces in the negative x direction. ORIENTATION is used for devices that are not on a surface and
require a directional specification, like a sprinkler. ORIENTATION is specified with a triplet of real
number values that indicatethe components of the direction vector. The default value of
ORIENTATION is (0,0,-1). For example, a default downward-directed sprinkler spray can be
redirected in other direction. If you were to specify
the sprinkler would point in the direction halfway between the positive x and y directions
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Devices and Control Logic
The PROP Namelist Group
For more complicated devices, it is inconvenient to list all of the properties on each and every
DEVC line. For example, a simulation might include hundreds of sprinklers, but it is tedious to list
the properties of the sprinkler each time the sprinkler is sited.
For these devices, use a separate namelist group called PROP to store the relevant parameters. Each
PROP line is identified by a unique ID, and invoked by a DEVC line by the string PROP_ID. The
best way to describe the PROP group is to list the various special devices and their properties.
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Devices and Control Logic
Sprinklers
Here is a very simple example of a sprinkler:
Heat Detector
QUANTITY=’LINK TEMPERATURE’ defines a heat detector, which uses essentially the same activation algorithm as
a sprinkler, without the water spray.
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Devices and Control Logic
Smoke Detectors
A smoke detector is defined in the input file with an entry similar to:
Beam Detection Systems
Aspiration Detection Systems
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Devices can be used to control various actions, like creating and removing obstructions, or activating and
deactivating fans and vents.
Remove or create a solid obstruction by assigning the character string DEVC_ID to indicate the name of a DEVC
ID on the OBST line that is to be created or removed. This will direct FDS to remove or create the obstruction
when the device changes state to .FALSE. or .TRUE., respectively.
Activating and Deactivating Vents. See 16.4.2
Devices and Control Logic
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Output
The SLCF Namelist Group
The SLCF (“slice file”) namelist group parameters (Table 18.24) allows you to record various gas phase quantities
at more than a single point.
Animated vectors can be created in Smokeview if a given SLCF line has the attribute VECTOR=.TRUE.
Normally, FDS averages slice file data at cell corners. For example, gas temperatures are computed at cell centers,
but they are linearly interpolated to cell corners and output to a file that is read by Smokeview. To prevent this
from happening, set CELL_CENTERED=.TRUE. This forces FDS to output the actual cellcentered data with no
averaging. Note that this feature is mainly useful for diagnostics because it enables you to visualize the values
that FDS actually computes.
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Output
The BNF Namelist Group
The BNDF (“boundary file”) namelist group parameters allows you to record surface quantities at all solid
obstructions.
One way to reduce the size of the output file is to turn off the drawing of boundary information on desired
obstructions. On any given OBST line, if the string BNDF_OBST=.FALSE. is included, the obstruction is not colored.
To turn off all boundary drawing, set BNDF_DEFAULT=.FALSE. on the MISC line. Then individual obstructions can
be turned back on with BNDF_OBST=.TRUE. on the appropriate OBST line.
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Output
The ISOF Namelist Group
The ISOF (“ISOsurface File”) namelist group creates three-dimensional animated contours of gas phase scalar
quantities. For example, a 300 C temperature isosurface is a 3-D surface on which the gas temperature is 300 C.
Three different values of the temperature can be saved via the line:
Smoke in Atriums
http://www.canadianconsultingengineer.com
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Output
The DUMP Namelist Group
Control the rate at which output files are written, and various other global parameters associated with output
files.
The PROF Namelist Group
FDS uses a fine one-dimensional mesh at each boundary cell to compute heat transfer within a solid. Use the
PROF output to record the properties of the solid over the entire thickness.
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Output
The DUMP Namelist Group
Summary of frequently used output quantities.
See Table 17.3
Summary of infrequently used output quantities.
See Table 17.4
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Now lets play..
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Third Party Tools
https://github.com/firemodels/fds/wiki/Third-Party-Tools
FDS Graphical User Interfaces (GUIs)
• PyroSim - Thunderhead Engineering
ASPIRE Smoke Detection Simulation - Xtralis
BlenderFDS - Emanuele Gissi
• CYPE-Building Services - CYPE
Project Scorch - Autodesk Labs
• CAD File Conversion Tools
• Third-party Calculation Tools
Video and Image Tools
Evacuation Modeling Tools
STEPS - Mott MacDonald
• Pathfinder - Thunderhead Engineering
Fire-Structural Interaction
Miscellaneous
1 The Basics of FDS
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FDS Material Data References
http://www.thunderheadeng.com/pyrosim/fds-material-data-references/
Web Pages:
UMD Burning Item Database (Home Page): http://www.firebid.umd.edu/index.php
UMD Material Thermal Properties Database: http://www.firebid.umd.edu/material-database.php
UMD Burning Item Database (Data Sets Index): http://www.firebid.umd.edu/burning-item-
database.php
NIST Chemistry Webbook: http://webbook.nist.gov/chemistry/
Cone calorimeter data from Worcester Polytechnic
Institute: http://www.wpi.edu/Academics/Depts/Fire/Lab/Cone/Data
MatWeb: http://matweb.com
Engineering Toolbox: http://engineeringtoolbox.com
Chemical Properties and MSDS Sheets – http://www.sciencestuff.com/chemicals/
The 2006 Dalmarnock Fire Test website http://www.see.ed.ac.uk/fire/dalmarnock.html
Fire Safety Science Digital Archive http://www.iafss.org/publications/fss/info/
1 The Basics of FDS
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FDS Material Data References
http://www.thunderheadeng.com/pyrosim/fds-material-data-references/
Print Publications:
SFPE Handbook of Fire Protection Engineering
Fundamentals of Fire Phenomena, Quintiere
Ignition Handbook: Principles and Applications to Fire Safety Engineering, Fire Investigation, Risk
Management and Forensic Science, Babrauskas (See all Science Books)
An Introduction to Fire Dynamics, 2nd Edition – Dougal Drysdale
ISO/TR 12471:2004 Computational structural fire design – Review of calculation models
Cone calorimeter evaluation of wood products – Fifteenth Annual BCC Conference Flame Retardancy
2004 – session 5
Fire performance of hardwood species – Robert N. White USDA, FS, Forest Products Laboratory (PDF)
Fire Safety of Passenger Trains – Phase 1 material evaluation – NISTIR 6132, NIST
Flammability of alternative daily cover materials – Paul A. Kittle, Ph.D. – Rusmer Inc. (PDF)
Flammability of upholstered furniture using the cone calorimeter – Andrew R Coles – University of
Canterbury
SWRi Technical Publications
Application of Genetic Algorithms and Thermogravimetry to Determine the Kinetics of Polyurethane
Foam in Smoldering Combustion: http://escholarship.org/uc/item/8fv775b6
http://www.vtt.fi/inf/pdf/publications/2004/P521.pdf
Standardized Test Methods and Related Information
ASTM Fire and Flammability Standards
NFPA Codes and Standards
ISO TC 92 – Fire Safety
FM Global – Approval Standards
2010 California Fire Code‚ Title 24‚ Part 9 (First Printing)
1 The Basics of FDS
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http://www.thunderheadeng.com/pyrosim/
Pyrosim
Third Party Tools । FDS Graphical User Interfaces (GUIs) । Thunderhead Engineering
https://www.youtube.com/watch?v=YDfkLl1ziL4
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CYPE FIRE
https://www.youtube.com/watch?v=-rgqF2uTiwM
Third Party Tools । FDS Graphical User Interfaces (GUIs) ।
http://programas.cype.es/
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Third Party Tools । 3dsolid2dfds
https://github.com/firemodels/fds/wiki/Third-Party-Tools
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Other information
http://www.sabalcore.com/vertical-markets/engineering/fds-
smv/?gclid=COTX4f2E9NMCFQ4TGwodUCoIFA
FDS in the Cloud
http://www.iafss.org/publications/fss/9/1329/view/fss_9-1329.pdf
BIM to FDS
https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=1514895&fileOId=1514896
A method of quantifying user uncertainty in FDS by using Monte Carlo analysis
http://www.nfpa.org/news-and-research/publications/nfpa-journal/2008/january-february-
2008/features/fire-dynamics-simulator
NFPA & FDS
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Other information
FDS
Current release version: FDS 6.5.3, SMV 6.4.4
Older version: FDS 5.5.3.
fds5_win_64 ejemplo.fds
Drop file into fds5
https://www.youtube.com/watch?v=kfebeKouNTQ
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Carlos Rallo de la Cruz
M. Arch. UPM
M. Eng. in Fire safety. UC3M
Dipl. Project Management. PUC
PhD Candidate CERTEC. UPC
Contact
carlosrallo@gmail.com
+34 647865702
Madrid, Spain
www.rallodelacruz.com
www.arquitecturayfuego.es
www.linkedin.com/in/carlosrallo
Fire Safety impact in Building Design
01. Prescriptive Design 05/05/2017
02. Performance Based Design 05/05/2017
03. NFPA 101 Live Safety Code 12/05/2017
04. Fire Safety in complex Architecture designs 12/05/2017
05. CFD / Fire Dynamics Simulator 26/05/2017
06. Crowd Dynamics / FDS+Evac, MassMotion 02/06/2017
Máster en Ingeniería de
Seguridad contra Incendios