基于动态耦合模型的CAE仿真优化方法  

CAE Simulation Optimization Method Based on Dynamic Coupling Model

作　　者：陈雪 曹建文[1] Chen Xue;Cao Jianwen(Institute of Software,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院软件研究所,北京100190

出　　处：《系统仿真学报》2025年第3期718-731,共14页Journal of System Simulation

基　　金：国家重点研发计划(2020YFB1709502)。

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。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 sofiware 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.

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 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]