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Bayesian network enhanced with structural reliability methods / Straub, Daniel in Journal of engineering mechanics, Vol. 136 N° 10 (Octobre 2010) 

Public ISBD [article]  in Journal of engineering mechanics > Vol. 136 N° 10 (Octobre 2010) . - pp.1259- Titre : Bayesian network enhanced with structural reliability methods : application Type de document : texte imprimé Auteurs : Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur Année de publication : 2010 Article en page(s) : pp.1259- Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Structural  reliability  Bayesian  analysis  Structural. Résumé : The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the assessment of reliability and risk of engineering systems when information about the system evolves in time. We present the application of the eBN: (1) to the assessment of the life-cycle reliability of a structural system; (2) to the optimization of a decision on performing measurements in that structural system; and (3) to the risk assessment of an infrastructure system subject to natural hazards and deterioration of constituent structures. In all applications, observations of system performances or the hazards are made at various points in time and the eBN efficiently includes these observations in the analysis to provide an updated probabilistic model of the system at all times. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.org/emo/resource/1/jenmdt/v136/i10/p1259_s1?isAuthorized=no [article] Bayesian network enhanced with structural reliability methods : application [texte imprimé] / Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur . - 2010 . - pp.1259-. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 136 N° 10 (Octobre 2010) . - pp.1259- Mots-clés : Structural  reliability  Bayesian  analysis  Structural. Résumé : The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the assessment of reliability and risk of engineering systems when information about the system evolves in time. We present the application of the eBN: (1) to the assessment of the life-cycle reliability of a structural system; (2) to the optimization of a decision on performing measurements in that structural system; and (3) to the risk assessment of an infrastructure system subject to natural hazards and deterioration of constituent structures. In all applications, observations of system performances or the hazards are made at various points in time and the eBN efficiently includes these observations in the analysis to provide an updated probabilistic model of the system at all times. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.org/emo/resource/1/jenmdt/v136/i10/p1259_s1?isAuthorized=no

Bayesian network enhanced with structural reliability methods / Straub, Daniel in Journal of engineering mechanics, Vol. 136 N° 10 (Octobre 2010) 

Public ISBD [article]  in Journal of engineering mechanics > Vol. 136 N° 10 (Octobre 2010) . - pp.1248-1258 Titre : Bayesian network enhanced with structural reliability methods : methodology Type de document : texte imprimé Auteurs : Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur Année de publication : 2010 Article en page(s) : pp.1248-1258 Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Structural  reliability  Bayesian  analysis  Probability. Résumé : We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced BN (eBN), for reliability and risk analysis of engineering structures and infrastructure. BNs are efficient in representing and evaluating complex probabilistic dependence structures, as present in infrastructure and structural systems, and they facilitate Bayesian updating of the model when new information becomes available. On the other hand, SRMs enable accurate assessment of probabilities of rare events represented by computationally demanding physically based models. By combining the two methods, the eBN framework provides a unified and powerful tool for efficiently computing probabilities of rare events in complex structural and infrastructure systems in which information evolves in time. Strategies for modeling and efficiently analyzing the eBN are described by way of several conceptual examples. The companion paper applies the eBN methodology to example structural and infrastructure systems. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.org/emo/resource/1/jenmdt/v136/i10/p1248_s1?isAuthorized=no [article] Bayesian network enhanced with structural reliability methods : methodology [texte imprimé] / Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur . - 2010 . - pp.1248-1258. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 136 N° 10 (Octobre 2010) . - pp.1248-1258 Mots-clés : Structural  reliability  Bayesian  analysis  Probability. Résumé : We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced BN (eBN), for reliability and risk analysis of engineering structures and infrastructure. BNs are efficient in representing and evaluating complex probabilistic dependence structures, as present in infrastructure and structural systems, and they facilitate Bayesian updating of the model when new information becomes available. On the other hand, SRMs enable accurate assessment of probabilities of rare events represented by computationally demanding physically based models. By combining the two methods, the eBN framework provides a unified and powerful tool for efficiently computing probabilities of rare events in complex structural and infrastructure systems in which information evolves in time. Strategies for modeling and efficiently analyzing the eBN are described by way of several conceptual examples. The companion paper applies the eBN methodology to example structural and infrastructure systems. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.org/emo/resource/1/jenmdt/v136/i10/p1248_s1?isAuthorized=no

Reliability acceptance criteria for deteriorating elements of structural systems / Straub, Daniel in Journal of structural engineering, Vol. 137 N° 12 (Décembre 2011) 

Public ISBD [article]  in Journal of structural engineering > Vol. 137 N° 12 (Décembre 2011) . - pp. 1573-1582 Titre : Reliability acceptance criteria for deteriorating elements of structural systems Type de document : texte imprimé Auteurs : Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur Année de publication : 2012 Article en page(s) : pp. 1573-1582 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Structural  reliability  Probability  Redundancy  Deterioration  Fatigue  Acceptance  criteria Résumé : A systematic approach to determining reliability-based acceptance criteria for deteriorating elements in structural systems is proposed as a basis for calibration of safety factors in codes and standards and for verifying acceptability of inspection and maintenance strategies for specific structures. The goal is to establish deterioration acceptance criteria for the elements of a structural system in compliance with criteria formulated for the system. Existing methods significantly overestimate the deterioration reliability of redundant structural systems because they neglect the joint effect of deterioration failures of different elements. To more realistically capture the load-sharing behavior of deteriorating redundant structural systems, it is proposed to establish deterioration acceptance criteria on the basis of easily computable, idealized structural systems, which are calibrated to the characteristics of the real structure. The approach is validated on an example structural system and is found to represent a significant improvement over current methods. The paper concludes with a study of the main factors influencing acceptance criteria of deterioration reliability. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v137/i12/p1573_s1?isAuthorized=no [article] Reliability acceptance criteria for deteriorating elements of structural systems [texte imprimé] / Straub, Daniel, Auteur ; Der Kiureghian, Armen, Auteur . - 2012 . - pp. 1573-1582. Génie Civil Langues : Anglais (eng) in Journal of structural engineering > Vol. 137 N° 12 (Décembre 2011) . - pp. 1573-1582 Mots-clés : Structural  reliability  Probability  Redundancy  Deterioration  Fatigue  Acceptance  criteria Résumé : A systematic approach to determining reliability-based acceptance criteria for deteriorating elements in structural systems is proposed as a basis for calibration of safety factors in codes and standards and for verifying acceptability of inspection and maintenance strategies for specific structures. The goal is to establish deterioration acceptance criteria for the elements of a structural system in compliance with criteria formulated for the system. Existing methods significantly overestimate the deterioration reliability of redundant structural systems because they neglect the joint effect of deterioration failures of different elements. To more realistically capture the load-sharing behavior of deteriorating redundant structural systems, it is proposed to establish deterioration acceptance criteria on the basis of easily computable, idealized structural systems, which are calibrated to the characteristics of the real structure. The approach is validated on an example structural system and is found to represent a significant improvement over current methods. The paper concludes with a study of the main factors influencing acceptance criteria of deterioration reliability. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v137/i12/p1573_s1?isAuthorized=no

Stochastic modeling of deterioration processes through dynamic bayesian networks / Straub, Daniel in Journal of engineering mechanics, Vol. 135 N° 10 (Octobre 2009) 

Public ISBD [article]  in Journal of engineering mechanics > Vol. 135 N° 10 (Octobre 2009) . - pp. 1089-1099 Titre : Stochastic modeling of deterioration processes through dynamic bayesian networks Type de document : texte imprimé Auteurs : Straub, Daniel, Auteur Année de publication : 2009 Article en page(s) : pp. 1089-1099 Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Bayesian  analysis  Cracking  Fatigue  Deterioration  Inspection  Markov  process  Monitoring  Stochastic  processes. Résumé : A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks. The framework facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring, and inspection results. These properties make it ideally suited for near-real time applications in asset integrity management and deterioration control. The framework is demonstrated and investigated through two applications to probabilistic modeling of fatigue crack growt. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/vsearch/servlet/VerityServlet?KEY=JENMDT&smode=strres [...] [article] Stochastic modeling of deterioration processes through dynamic bayesian networks [texte imprimé] / Straub, Daniel, Auteur . - 2009 . - pp. 1089-1099. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 135 N° 10 (Octobre 2009) . - pp. 1089-1099 Mots-clés : Bayesian  analysis  Cracking  Fatigue  Deterioration  Inspection  Markov  process  Monitoring  Stochastic  processes. Résumé : A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks. The framework facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring, and inspection results. These properties make it ideally suited for near-real time applications in asset integrity management and deterioration control. The framework is demonstrated and investigated through two applications to probabilistic modeling of fatigue crack growt. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/vsearch/servlet/VerityServlet?KEY=JENMDT&smode=strres [...]