Structural reliability analysis method based on self-adaptive agent model

The invention discloses a structural reliability analysis method based on a self-adaptive agent model. The method includes the following steps that firstly, according to distribution form of random variables, a small amount of initial input sample points are generated, and the response value of the system is calculated, and the obtained initial input and output sample points serve as initial training sample points for building a Kriging agent model; secondly, a newly added training sample point selection criterion is created, according to the distribution of random variables, a large amount ofrandom candidate training samples are generated and substitute into a learning function for calculation, candidate sample points with the smallest learning function value serve as newly added training sample points, and loop iteration is conducted until convergence occurs; finally, according to obtained final input and output training sample points, a final agent model is constructed, a Monte Carlo simulation method is a