Boundary Optimization of Sub-models for Large Thin-walled Components Based on Simulated Annealing Algorithm

This paper proposes a boundary position optimization method for large thin-walled component submodel based on the simulated annealing algorithm, aiming to effectively solve the problem of low accuracy in simulating large components. The submodel method can reduce the solution scale and improve the solution accuracy, and the key lies in the selection of the boundary position of the submodel. Therefore, this paper transforms the boundary problem into an optimization mathematical model and uses the simulated annealing algorithm to find the boundary position with the minimum mean stress. The simulation results show that the correlation coefficient between the optimized global model and the submodel boundary stress can reach 0.98, which proves that this method can effectively improve the accuracy of submodel boundary data transfer and provides a new approach for the simulation analysis of large thin-walled components.