Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Probabilistic Analysis of Bridge Redundancy
Following several recent failures and catastrophic collapses due to man-made and natural hazards, there has been increased interest in upgrading the bridge design philosophy from a member-oriented to a system-oriented approach in order to ensure that bridge structures possess adequate levels of structural redundancy and robustness. To account for uncertainties associated with the quantification of the levels of redundancy of complex structures and be consistent with the reliability basis of recent bridge design code developments, system reliability methods must be applied. In this paper, the authors review the applicability of Markov-based advanced simulation techniques to study the reliability of bridge structural systems. To evaluate the probability of structural collapse due to different damage scenarios, a simulation approach referred to as "DRSCAM-SS" is used. The method combines the benefits of the Subset Simulation (SS) and those of the Delayed Rejection (DR) and Single Component Adaptive Metropolis Samplers (SCAM). The proposed approach is efficient and robust and can be used to obtain approximate expressions for the limit state equations for the pertinent failure modes. Examples are provided to illustrate the applicability of the procedure for evaluating the reliability of bridge systems and quantifying their levels of redundancy and robustness.
Probabilistic Analysis of Bridge Redundancy
Following several recent failures and catastrophic collapses due to man-made and natural hazards, there has been increased interest in upgrading the bridge design philosophy from a member-oriented to a system-oriented approach in order to ensure that bridge structures possess adequate levels of structural redundancy and robustness. To account for uncertainties associated with the quantification of the levels of redundancy of complex structures and be consistent with the reliability basis of recent bridge design code developments, system reliability methods must be applied. In this paper, the authors review the applicability of Markov-based advanced simulation techniques to study the reliability of bridge structural systems. To evaluate the probability of structural collapse due to different damage scenarios, a simulation approach referred to as "DRSCAM-SS" is used. The method combines the benefits of the Subset Simulation (SS) and those of the Delayed Rejection (DR) and Single Component Adaptive Metropolis Samplers (SCAM). The proposed approach is efficient and robust and can be used to obtain approximate expressions for the limit state equations for the pertinent failure modes. Examples are provided to illustrate the applicability of the procedure for evaluating the reliability of bridge systems and quantifying their levels of redundancy and robustness.
Probabilistic Analysis of Bridge Redundancy
Miao, Feng (Autor:in) / Ghosn, Michel (Autor:in)
Structures Congress 2009 ; 2009 ; Austin, Texas, United States
Structures Congress 2009 ; 1-10
29.04.2009
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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