Post-buckling reliability analysis of stiffened composite panels based on adaptive iterative sampling

The use of an adaptive iterative sampling method is proposed to analyze the post-buckling reliability of stiffened composite panel structures. First, a post-buckling yield strength model for a stiffened composite panel is established based on a semi-empirical equation, and its accuracy is experimentally verified. On this basis, a reliability analysis model is proposed for a stiffened composite panel. The probability of post-buckling failure is then estimated by the adaptive iterative sampling method. By continuously optimizing the sampling center and establishing an appropriate sampling function, the sampling efficiency of the reliability analysis is shown to be improved compared with the Monte Carlo method while ensuring a small relative error. The two-norm value of the sampling center position is shown to decrease continuously and converge to stability, meeting the accuracy requirements and providing a more reliable result. The proposed method, therefore, represents an efficient reliability evaluation method for stiffened composite panels that can be used to improve research into their post-buckling behavior.