Simulation Study of New Buckling Restraint Bracing Based on Bayesian Optimization Algorithm to Identify the Parameters of Modified Bouc–Wen Model

The introduction of new materials can significantly improve the performance existing dampers, but constitutive model is difficult to be obtained in a short time, which makes its numerical simulation difficult. Bouc–Wen–Baber–Noori (BWBN) well describe stress-strain relationship materials, and it helpful introduce into simulation. In this paper, high manganese steel material used fabricate buckling restrained brace, based on improved Transition Markov Chain Monte Carlo (iTMCMC) sampling method Bayesian reasoning, parameter identification BWBN completed; parameters are introduced OpenSees complete response analysis damper structure. It provides approach for introducing structural seismic resistance proves reliability.