作者: Jin Cheng
DOI: 10.1007/S12205-013-1374-X
关键词:
摘要: An effective method for serviceability reliability analysis of prestressed concrete bridges is presented in this paper. The integrates the advantages Artificial Neural Network (ANN) method, First Order Reliability Method (FORM) and importance sampling updating method. A distinctive feature present introduction an explicit approximate limit state function. formulation function derived by using parameters developed ANN model. Once obtained, failure probability can be easily estimated a hybrid consisting FORM accuracy efficiency robust demonstrated through two numerical examples. As practical engineering example, bridge illustrated. obtained results clearly show applicability merits