Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (3): 718-731.doi: 10.16182/j.issn1004731x.joss.23-1348

• Papers • Previous Articles    

CAE Simulation Optimization Method Based on Dynamic Coupling Model

Chen Xue, Cao Jianwen   

  1. Institute of Software, Chinese Academy of Sciences, Beijng 100190, China
  • Received:2023-11-09 Revised:2024-01-23 Online:2025-03-17 Published:2025-03-21
  • Contact: Cao Jianwen

Abstract:

In order to solve the optimization problem of designing complex equipment under multi-factor coupling scene, a CAE simulation optimization method based on dynamic coupling model and multi-branch parallel inference strategy is proposed. The dynamic hierarchical DEVS model is used to construct the automatic coupling model from pre-processing, numerical solution and post-processing phases of CAE software adaptively. Aiming at the key parameters of CAE model, multi-branch instance models with multi-factor constraints are constructed based on greedy algorithm. The multi-task parallel inference strategy is used to compute the multi-branch simulation results efficiently. The scheme optimization is realized based on the evaluation index of cost. The simulation cases of designing high-speed rail/shield equipment verify the effectiveness and application value.

Key words: dynamic structure, coupling model, simulation optimization, multi-task parallel, multi-branch instances

CLC Number: