Structural Reliability Prediction of A Steel Bridge element using Dynamic Object Oriented Bayesian Network (DOOBN)
Different from conventional methods for structural reliability evaluation, such as, first/second-order reliability methods (FORM/SORM) or Monte Carlo simulation based on corresponding limit state functions, a novel approach based on dynamic objective oriented Bayesian network (DOOBN) for prediction of structural reliability of a steel bridge element has been proposed in this paper. The DOOBN approach can effectively model the deterioration processes of a steel bridge element and predict their structural reliability over time. This approach is also able to achieve Bayesian updating with observed information from measurements, monitoring and visual inspection. Moreover, the computational capacity embedded in the approach can be used to facilitate integrated management and maintenance optimization in a bridge system. A steel bridge girder is used to validate the proposed approach. The predicted results are compared with those evaluated by FORM method.
structural reliability limit state functions Dynamic Object Oriented Bayesian Network (DOOBN)
Ruizi WANG Lin MA Cheng YAN Joseph MATHEW
CRC for Infrastructure and Engineering Asset Management Faculty of Built Environment & Engineering,Q CRC for Infrastructure and Engineering Asset Management Faculty of Built Environment & Engineering,
国际会议
西安
英文
7-12
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）