Iterative algorithm for structure reliability analysis based on support vector classification method

For reliability analysis of structure with implicit limit state function, an iterative algorithm was presented on the basis of support vector classification machine. In the presented method, the support vector classification machine was employed to construct surrogate of the implicit limit state function. By means of the rational iteration, the constructed support vector classification machine can converge to the actual limit state function at the important region, which contributed to the failure probability significantly, and then the precision of the reliability analysis was improved. The implementation of the presented method is given in detail, and the feasibility and the efficiency are demonstrated by the illustrations.