A Time-Varying Reliability Analysis Method Based on BP Neural Network with Adaptive Optimization Strategy
The traditional Monte Carlo simulation (MCS) method for time-varying reliability analysis (TRA) typically demands a large number of samples to achieve accurate reliability assessment results, and the total number of samples increases as the nonlinearity of the performance function increases. This paper proposes an adap...