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Evoluzione della sperimentazione fisica su strutture in c.a./c.a.p.
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Calcolo della precompressione: DOMINI e STRAUS7
Calcolo della precompressione:
DOMINI e STRAUS7
Corso di Gestione di Ponti e Grandi Strutture A.A. 2021/22
Prof. Ing. Franco Bontempi
Facoltà di Ingegneria Civile e Industriale
Sapienza Università di Roma
II evento didattica 5 aprile 2022 TECNICA DELLE COSTRUZIONI.pdf
Scopo dell'evento è
• illustrare l'identità culturale, e tecnica – di cui il progetto è parte fondante – del SSD Tecnica delle Costruzioni nella didattica,
• evidenziando contemporaneamente le opportunità di collaborazione trasversale con altre discipline,
• con particolare riferimento ai corsi della lauree magistrali o
equivalenti, e livelli di formazione successivi (master e dottorati).
ICAR 09_incontro del 5 aprile 2022_secondo annuncio.pdf
L’incontro ha l’obiettivo di delineare l'identità culturale, scientifica e tecnica della disciplina della Tecnica delle Costruzioni nella didattica, evidenziando contemporaneamente le opportunità di collaborazione trasversale con altre discipline, con particolare riferimento ai corsi della lauree magistrali o equivalenti, e livelli di formazione successivi (master e dottorati).
Structural health monitoring of a cable-stayed bridge with Bayesian neural ne...
Structural health monitoring of a cable-stayed bridge with Bayesian neural ne...Franco Bontempi Org Didattica
In recent years, there has been an increasing interest in permanent observation of the dynamic behaviour of bridges for longterm
monitoring purpose. This is due not only to the ageing of a lot of structures, but also for dealing with the increasing
complexity of new bridges. The long-term monitoring of bridges produces a huge quantity of data that need to be effectively
processed. For this purpose, there has been a growing interest on the application of soft computing methods. In particular,
this work deals with the applicability of Bayesian neural networks for the identification of damage of a cable-stayed bridge.
The selected structure is a real bridge proposed as benchmark problem by the Asian-Pacific Network of Centers for Research
in Smart Structure Technology (ANCRiSST). They shared data coming from the long-term monitoring of the bridge with the
structural health monitoring community in order to assess the current progress on damage detection and identification
methods with a full-scale example. The data set includes vibration data before and after the bridge was damaged, so they are
useful for testing new approaches for damage detection. In the first part of the paper, the Bayesian neural network model is
discussed; then in the second part, a Bayesian neural network procedure for damage detection has been tested. The proposed
method is able to detect anomalies on the behaviour of the structure, which can be related to the presence of damage. In order
to obtain a confirmation of the obtained results, in the last part of the paper, they are compared with those obtained by using a
traditional approach for vibration-based structural identification.Soft computing based multilevel strategy for bridge integrity monitoring
Soft computing based multilevel strategy for bridge integrity monitoringFranco Bontempi Org Didattica
In recent years, structural integrity monitoring has become increasingly important in structural engineering and construction management. It represents an important tool for the assessment of the dependability of existing complex structural systems as it integrates, in a unified perspective, advanced engineering analyses and experimental data processing. In the first part of this work
the concepts of dependability and structural integrity are
discussed and it is shown that an effective integrity assessment
needs advanced computational methods. For this purpose, soft computing methods have shown to be very useful. In particular, in this work the neural networks model is chosen and successfully improved by applying the Bayesian inference at four hierarchical levels: for training, optimization of the regularization terms, databased model selection, and evaluation of the relative importance of different inputs. In the second part of the article,
Bayesian neural networks are used to formulate a
multilevel strategy for the monitoring of the integrity of long span bridges subjected to environmental actions: in a first level the occurrence of damage is detected; in a following level the specific damaged element is recognized and the intensity of damage is quantified. Systemic approach for the maintenance of complex structural systems
This paper deals with the general framework for the development and the maintenance of complex structural systems. In the first part, starting with a semantic analysis of the term ‘structure’, the traditional approach to structural problem solving has been reconsidered. Consequently, a systemic approach for the formulation of the different kinds of direct and inverse problems has been framed, particularly with regards to structural design and
maintenance. The overall design phase is defined with the aid of the performance-based design (PBD) philosophy, emphasizing the concepts of dependability and enlightening the role of structural identification. The second part of the present work analyses structural health monitoring (SHM) in the systemic way previously introduced. Finally, the techniques related to the implementation of the monitoring process are introduced and a synoptic overview of methods and instruments for structural health monitoring is
presented, with particular attention to the ones necessary for structural damage identification.
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Calcolo della precompressione: DOMINI e STRAUS7
Calcolo della precompressione:
DOMINI e STRAUS7
Corso di Gestione di Ponti e Grandi Strutture A.A. 2021/22
Prof. Ing. Franco Bontempi
Facoltà di Ingegneria Civile e Industriale
Sapienza Università di Roma
II evento didattica 5 aprile 2022 TECNICA DELLE COSTRUZIONI.pdf
Scopo dell'evento è
• illustrare l'identità culturale, e tecnica – di cui il progetto è parte fondante – del SSD Tecnica delle Costruzioni nella didattica,
• evidenziando contemporaneamente le opportunità di collaborazione trasversale con altre discipline,
• con particolare riferimento ai corsi della lauree magistrali o
equivalenti, e livelli di formazione successivi (master e dottorati).
ICAR 09_incontro del 5 aprile 2022_secondo annuncio.pdf
L’incontro ha l’obiettivo di delineare l'identità culturale, scientifica e tecnica della disciplina della Tecnica delle Costruzioni nella didattica, evidenziando contemporaneamente le opportunità di collaborazione trasversale con altre discipline, con particolare riferimento ai corsi della lauree magistrali o equivalenti, e livelli di formazione successivi (master e dottorati).
Structural health monitoring of a cable-stayed bridge with Bayesian neural ne...
Structural health monitoring of a cable-stayed bridge with Bayesian neural ne...Franco Bontempi Org Didattica
In recent years, there has been an increasing interest in permanent observation of the dynamic behaviour of bridges for longterm
monitoring purpose. This is due not only to the ageing of a lot of structures, but also for dealing with the increasing
complexity of new bridges. The long-term monitoring of bridges produces a huge quantity of data that need to be effectively
processed. For this purpose, there has been a growing interest on the application of soft computing methods. In particular,
this work deals with the applicability of Bayesian neural networks for the identification of damage of a cable-stayed bridge.
The selected structure is a real bridge proposed as benchmark problem by the Asian-Pacific Network of Centers for Research
in Smart Structure Technology (ANCRiSST). They shared data coming from the long-term monitoring of the bridge with the
structural health monitoring community in order to assess the current progress on damage detection and identification
methods with a full-scale example. The data set includes vibration data before and after the bridge was damaged, so they are
useful for testing new approaches for damage detection. In the first part of the paper, the Bayesian neural network model is
discussed; then in the second part, a Bayesian neural network procedure for damage detection has been tested. The proposed
method is able to detect anomalies on the behaviour of the structure, which can be related to the presence of damage. In order
to obtain a confirmation of the obtained results, in the last part of the paper, they are compared with those obtained by using a
traditional approach for vibration-based structural identification.Soft computing based multilevel strategy for bridge integrity monitoring
Soft computing based multilevel strategy for bridge integrity monitoringFranco Bontempi Org Didattica
In recent years, structural integrity monitoring has become increasingly important in structural engineering and construction management. It represents an important tool for the assessment of the dependability of existing complex structural systems as it integrates, in a unified perspective, advanced engineering analyses and experimental data processing. In the first part of this work
the concepts of dependability and structural integrity are
discussed and it is shown that an effective integrity assessment
needs advanced computational methods. For this purpose, soft computing methods have shown to be very useful. In particular, in this work the neural networks model is chosen and successfully improved by applying the Bayesian inference at four hierarchical levels: for training, optimization of the regularization terms, databased model selection, and evaluation of the relative importance of different inputs. In the second part of the article,
Bayesian neural networks are used to formulate a
multilevel strategy for the monitoring of the integrity of long span bridges subjected to environmental actions: in a first level the occurrence of damage is detected; in a following level the specific damaged element is recognized and the intensity of damage is quantified. Systemic approach for the maintenance of complex structural systems
This paper deals with the general framework for the development and the maintenance of complex structural systems. In the first part, starting with a semantic analysis of the term ‘structure’, the traditional approach to structural problem solving has been reconsidered. Consequently, a systemic approach for the formulation of the different kinds of direct and inverse problems has been framed, particularly with regards to structural design and
maintenance. The overall design phase is defined with the aid of the performance-based design (PBD) philosophy, emphasizing the concepts of dependability and enlightening the role of structural identification. The second part of the present work analyses structural health monitoring (SHM) in the systemic way previously introduced. Finally, the techniques related to the implementation of the monitoring process are introduced and a synoptic overview of methods and instruments for structural health monitoring is
presented, with particular attention to the ones necessary for structural damage identification.
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simulation is used to account for the randomness of the main structural parameters, including material properties, geometrical parameters, area and location of the reinforcement, material diffusivity and damage rates. The time-variant reliability is then computed with respect to proper measures of structural performance. The results of the lifetime durability analysis are finally used to select, among different maintenance scenarios, the most economical rehabilitation strategy leading to a prescribed target value of the structural service life. Two numerical applications, a box-girder bridge deck and a pier of an existing bridge, show the effectiveness of the proposed methodology.Cellular Automata Approach to Durability Analysis of Concrete Structures in A...
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within the framework of the finite element method by means of a deteriorating reinforced concrete beam element. The effectiveness of the
proposed methodology in handling complex geometrical and mechanical boundary conditions is demonstrated through some applications.
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Produced by: World Nuclear Association Published: April 2024
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This report reflects the views
of industry experts but does not
necessarily represent those
of World Nuclear Association’s
individual member organizations.
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一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
UofT毕业证原版定制【微信：176555708】【多伦多大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation & Control
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.Investor-Presentation-Q1FY2024 investor presentation document.pptx
this is the investor presemtaiton document for qurrter 1 2024
Immunizing Image Classifiers Against Localized Adversary Attacks
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
IIT毕业证原版定制【微信：176555708】【伊利诺伊理工大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
HYDROPOWER - Hydroelectric power generation
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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