Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
The GCO Method for Time-Dependent Structural Reliability Assessment
By taking the advantage of Poisson events, the outcrossing method has been widely applied for time-dependent reliability analysis considering continuous processes. Generally, the outcrossing method can only obtain an upper bound of failure probability, which will overestimate the risk and result in unnecessary maintenance costs. In this study, a general conditional outcrossing (GCO) method for time-dependent reliability analysis was proposed, which can obtain a more accurate probability of failure. The conditional outcrossing rate was defined as the outcrossing rate conditioned on fixing the values of time-invariant random variables, which was introduced to satisfy the assumption of independent outcrossing events. A numerical algorithm for the GCO method was developed with the aid of the Gauss-Legendre quadrature and point estimate method. The application of the GCO method is demonstrated by three examples, including an implicit limit state function with a finite-element model and non-Gaussian nonstationary random processes. The failure probability obtained by the GCO method was found to be in close agreement with that by Monte Carlo simulation, which demonstrates the accuracy of the GCO method.
The GCO Method for Time-Dependent Structural Reliability Assessment
By taking the advantage of Poisson events, the outcrossing method has been widely applied for time-dependent reliability analysis considering continuous processes. Generally, the outcrossing method can only obtain an upper bound of failure probability, which will overestimate the risk and result in unnecessary maintenance costs. In this study, a general conditional outcrossing (GCO) method for time-dependent reliability analysis was proposed, which can obtain a more accurate probability of failure. The conditional outcrossing rate was defined as the outcrossing rate conditioned on fixing the values of time-invariant random variables, which was introduced to satisfy the assumption of independent outcrossing events. A numerical algorithm for the GCO method was developed with the aid of the Gauss-Legendre quadrature and point estimate method. The application of the GCO method is demonstrated by three examples, including an implicit limit state function with a finite-element model and non-Gaussian nonstationary random processes. The failure probability obtained by the GCO method was found to be in close agreement with that by Monte Carlo simulation, which demonstrates the accuracy of the GCO method.
The GCO Method for Time-Dependent Structural Reliability Assessment
J. Eng. Mech.
Zhang, Xuan-Yi (Autor:in) / Lu, Zhao-Hui (Autor:in) / Zhao, Yan-Gang (Autor:in)
01.01.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Time dependent structural reliability model for pavement condition assessment
| British Library Conference Proceedings | 2000
Computation of Time-Dependent Structural System Reliability
| British Library Conference Proceedings | 1994