Publication | Closed Access
Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods
25
Citations
31
References
2014
Year
EngineeringMechanical EngineeringDeterioration ModelingStructural EngineeringDeteriorating StructuresReliability EngineeringUncertainty QuantificationRandom ShocksStochastic ProcessesDynamic ReliabilitySystems EngineeringBayesian MethodsTime-dependent Reliability ModelStatisticsReliabilityModel UncertaintiesStructural Health MonitoringStructural ReliabilityReliability PredictionRandom ShockReliability ModellingCivil EngineeringStructural Mechanics
Performance and reliability of structures will deteriorate with time as a result of the effects of various loads and the environment. This paper aims to develop a time-dependent reliability model of deteriorating structures that considers both aging effects and random shocks. First, a deteriorating model is proposed in which the aging effect is modeled as a gamma process while random shock is described by a Poisson process. The time-dependent reliability of the structural components is then evaluated based on the model. To incorporate the effects of model uncertainties, Bayesian inference methods are further integrated with the reliability model to update the uncertain parameters in the model using sampling data. Numerical examples demonstrate that the proposed model provides a reasonable method for evaluating the reliability of deteriorating structures containing model uncertainties.
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