系统仿真学报 ›› 2025, Vol. 37 ›› Issue (3): 718-731.doi: 10.16182/j.issn1004731x.joss.23-1348

• 论文 • 上一篇    

基于动态耦合模型的CAE仿真优化方法

陈雪, 曹建文   

  1. 中国科学院 软件研究所,北京 100190
  • 收稿日期:2023-11-09 修回日期:2024-01-23 出版日期:2025-03-17 发布日期:2025-03-21
  • 通讯作者: 曹建文
  • 第一作者简介:陈雪(1987-),女,助理研究员,博士,研究方向为复杂系统建模仿真、人工智能。
  • 基金资助:
    国家重点研发计划(2020YFB1709502)

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

摘要:

为解决多因素耦合作用下复杂装备产品的设计优化问题,提出一种基于动态耦合模型和多分支并行仿真策略的CAE仿真优化方法。采用动态结构的分层分级的DEVS模型,自适应地构建CAE软件前处理、数值求解、后处理阶段的自动化耦合模型;针对CAE模型的关键参数,基于贪心算法构建多因素约束下的多分支实例模型;采用多任务并行仿真策略,高效计算多分支仿真结果;经过装备造价评估指标,实现方案优选。通过高铁/盾构装备设计仿真案例验证了其有效性和应用价值。

关键词: 动态结构, 耦合模型, 仿真优化, 多任务并行, 多分支实例

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

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