协同仿真算法研究综述

doi:10.3901/JME.2024.19.172

摘要/Abstract

摘要： 协同仿真算法近年来广泛用于数字孪生-多物理域耦合分析以及复杂大规模动力学系统并行计算。相比传统强耦合分析，具有模块化、智能化和非侵入高效计算等优点。随着智能制造发展和工业互联网深度融合，基于协同仿真算法的数据接口和计算平台迅速发展。由于多物理域模型刚度、精度需求和数值特性的差异，协同仿真算法数值稳定性一直是制约其应用的瓶颈问题。首先，介绍了协同仿真算法的基本概念、分类和耦合模型。然后，分别讨论了界面变量插值引入的数值稳定性问题，并汇总了协同仿真增稳技术、局部误差分析和宏观时间步长控制方法。其次，总结了协同仿真算法在综合能源系统、动力学系统和数字孪生技术中的应用和算法平台。最后，面向未来高效高稳定性协同仿真算法，对协同仿真算法研究和应用方面进行了总结和展望。

关键词: 协同仿真算法, 数值特性, 弱耦合, 算法平台

Abstract: The co-simulation algorithm has been widely used in digital twin, multi-physics domain coupling analysis and parallel computing of complex large-scale dynamic systems.Compared with traditional strongly coupled analysis, it has the advantages of modularity, intelligence, non-intrusive and efficient calculation.With the development of intelligent manufacturing and the deep integration of the industrial Internet, data interfaces and computing platforms based on co-simulation algorithms have developed rapidly.Due to the differences in stiffness, accuracy requirements and numerical characteristics of multi-physics domain models, the numerical stability of co-simulation algorithms has always been a bottleneck restricting their application.First, the basic concepts, classification and coupling models of co-simulation algorithms are introduced.Then, the numerical stability issues introduced by interface variable interpolation are discussed respectively, and the co-simulation stabilization techniques, local error analysis and macro-time step control methods are summarized.Next, the application and algorithm platform of co-simulation algorithms in integrated energy systems, dynamic systems and digital twin technology are summarized.Finally, facing the future of efficient and high-stability co-simulation algorithms, the research and application of co-simulation algorithms are summarized and prospected.

Key words: co-simulation algorithm, numerical properties, weak coupling, platform of the algorithm

中图分类号:

TG156

李浦, 逯代兴. 协同仿真算法研究综述[J]. 机械工程学报, 2024, 60(19): 172-186.

LI Pu, LU Daixing. A Review of Co-simulation Algorithm[J]. Journal of Mechanical Engineering, 2024, 60(19): 172-186.

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