Journal of System Simulation
Abstract
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 multibranch 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.
Recommended Citation
Chen, Xue and Cao, Jianwen
(2025)
"CAE Simulation Optimization Method Based on Dynamic Coupling Model,"
Journal of System Simulation: Vol. 37:
Iss.
3, Article 14.
DOI: 10.16182/j.issn1004731x.joss.23-1348
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss3/14
First Page
718
Last Page
731
CLC
TP391.9
Recommended Citation
Chen Xue, Cao Jianwen. CAE Simulation Optimization Method Based on Dynamic Coupling Model [J]. Journal of System Simulation, 2025, 37(3): 718-731.
DOI
10.16182/j.issn1004731x.joss.23-1348
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