Time-Dependent Reliability Prediction Analysis of Bridge Members Considering Dependence of Failure Modes and Proof Modes

Abstract:

Structural health monitoring systems used in bridges contain sensors providing a large amount of monitored data, such as stress, deflection and et.al. In this paper, firstly, based on monitored everyday extreme stress data, time-variant proof load effects of structural members were defined, and based on the time-dependent proof load effects, the time-dependent performance functions of structural member’s proof modes were built; and then based on the monitored data, the Bayesian dynamic models (BDMs) of extreme stresses were built, and based on the predicted extreme stress with BDMs, the time-variant performance functions of structural member’s failure modes were given; and then based on the time-dependent performance functions of failure modes and proof modes and correlation coefficients between them, with the conditional probability method, the time-dependent reliability indices of structural members were updated and predicted; finally an actual engineering was provided to illustrate the application of the proposed models and methods.

• Periodical: Key Engineering Materials (Volume 648)
• Pages: 25-34
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.648.25
• Online since: June 2015
• Authors: Yue Fei Liu, Da Gang Lu
• Keywords: Bayesian Dynamic Models, Conditional Probability Method, Time-Dependent Failure Modes, Time-Dependent Proof Load Effects, Time-Dependent Proof Modes

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