Development and application of an incremental integrated multiphysics coupled analysis platform

doi:10.11996/JG.j.2095-302X.2025061346

Abstract

Abstract:

Multiphysics-field coupling analysis is an important tool for the design and optimization of complex engineering products. However, in practical applications, the incremental replacement of CAE software and algorithms faces many difficulties, such as the strong closed nature of commercial software, the limited functionality of open-source software, and the complexity of integrating self-developed algorithms. To address these problems, through in-depth research on the multi-physics coupling scheme and based on a loosely coupled scheme of the incremental integration architecture and an unstructured grid mapping algorithm, a fully automatic incremental replacement multi-physics coupling platform was developed relying on open-source and self-developed CAE software. The platform adopted a modular design and supported heterogeneous parallel computing of CPU/GPU. A multi-level framework of Field (data), Module, Node, and SceneGraph enabled flexible management and customization of the simulation process. Based on the plug-in system, it realized the rapid integration of custom algorithms. By implementing the extended development of data transfer algorithms, fluid analysis software, and structural analysis software in fluid-structure coupling analysis and computation on the platform, it was demonstrated that this platform possessed a more convenient advantage in the incremental replacement of multi-physics field analysis and could meet the actual engineering simulation requirements.

Key words: multi-physics field simulation, coupled solution algorithms, incremental replacement, open source software, software integration

CLC Number:

TP391.7

CAI Yong, ZENG Xiang, WANG Shengquan, WANG Qiang, HE Xiaowei, LI Guangyao. Development and application of an incremental integrated multiphysics coupled analysis platform[J]. Journal of Graphics, 2025, 46(6): 1346-1354.

Figures/Tables 19

Fig. 1 Overall platform architecture diagram

Fig. 2 Platform simulation running logic

Fig. 3 Multiphysical field analysis of node flow

Fig. 4 Sequential coupling method

Fig. 5 Data transfer node interface pseudo-code

Fig. 6 Platform plugin framework

Fig. 7 Custom node pseudocode

Fig. 8 Open source software ecosystem support

Fig. 9 Platform interactive interface

Fig. 10 Schematic diagram of the simulation process

Fig. 11 Solver interface presentation

Fig. 12 Post-processing node display

Fig. 13 Incremental replacement of algorithm nodes

Fig. 14 Plate model displacement cloud image ((a) CVT result; (b) RBF result; (c) Commercial software platforms result)

Fig. 15 Schematic diagram of blade model pressure and structural conditions; (a) Schematic diagram of fluid pressure; (b) Grid and boundary working condition model)

Fig. 16 Fluid-structure coupling analysis of blade model ((a) Displacement cloud; (b) Node editor window)

Fig. 17 Fluid-structure coupling analysis of car shell model ((a) Displacement cloud; (b) Node editor window)

Fig. 18 Schematic diagram of car door calculation example

Fig. 19 Car door model displacement cloud image ((a) Abaqus cloud image; (b) OptiStruct cloud image; (c) Coupling platform cloud image)

References 26

[1]	熊胜华, 谢正坚, 何涛. 计算机辅助结构设计与分析的集成框架研究[J]. 图学学报, 2012, 33(4): 129-135.
	XIONG S H, XIE Z J, HE T. Integrative frame for computer-aided structural design and analysis[J]. Journal of Graphics, 2012, 33(4): 129-135 (in Chinese).
[2]	AMIRANTE D, GANINE V, HILLS N J, et al. A coupling framework for multi-domain modelling and multi-physics simulations[J]. Entropy, 2021, 23(6): 758. DOI URL
[3]	刘迎宾, 李卓, 江晓瑞. 基于Ansys-Workbench EPKM点火过程流固耦合仿真分析[J]. 固体火箭技术, 2022, 45(2): 200-206.
	LIU Y B, LI Z, JIANG X R. Simulation analysis of fluid-structure interaction in EPKM ignition process based on Ansys-Workbench[J]. Journal of Solid Rocket Technology, 2022, 45(2): 200-206 (in Chinese).
[4]	ZANI L, BONNE F, BOURCIER C, et al. Development of a multi-physic platform OLYMPE for magnet fusion design: Progresses update and applications[J]. Cryogenics, 2022, 125: 103479. DOI URL
[5]	ZHANG K L, MUÑOZ A C, SANCHEZ-ESPINOZA V H. Development and verification of the coupled thermal-hydraulic code-TRACE/SCF based on the ICoCo interface and the SALOME platform[J]. Annals of Nuclear Energy, 2021, 155: 108169. DOI URL
[6]	LI C X, WU Y W, WANG Y Y, et al. Analysis on the behavior of dispersed plate-type fuel based on fluid-solid coupling method[J]. Progress in Nuclear Energy, 2020, 126: 103398. DOI URL
[7]	ZHAO W H, PINFIELD V J, WANG H Z, et al. An open source framework for advanced multi-physics and multiscale modelling of solid oxide fuel cells[J]. Energy Conversion and Management, 2023, 280: 116791. DOI URL
[8]	刘云钦, 李妮, 赵路明, 等. 高超声速飞行器流热固耦合实时仿真技术[J]. 系统仿真学报, 2021, 33(12): 2820-2827. DOI
	LIU Y Q, LI N, ZHAO L M, et al. Real-time simulation technology of fluid-thermo-solid coupling of hypersonic vehicle[J]. Journal of System Simulation, 2021, 33(12): 2820-2827 (in Chinese). DOI
[9]	龚平, 郑宇腾, 张爱清. 电热多物理耦合模拟的软件设计模式研究[J]. 计算机科学与探索, 2020, 14(8): 1298-1306. DOI
	GONG P, ZHENG Y T, ZHANG A Q. Research on design pattern of electro-thermal multi-physical coupling simulation software[J]. Journal of Frontiers of Computer Science and Technology, 2020, 14(8): 1298-1306 (in Chinese).
[10]	CHEN A R, LI X D, ZHOU L W, et al. Experimental study on the cavity evolution and liquid spurt of hydrodynamic ram[J]. Defence Technology, 2022, 18(11): 2008-2022. DOI
[11]	叶彦鹏, 顾水涛, 刘敏, 等. 基于LiToSim平台的海上风机过渡段优化软件开发[J]. 应用数学和力学, 2021, 42(5): 441-451.
	YE Y P, GU S T, LIU M, et al. Optimization software development for offshore turbine transition structures based on LiToSim[J]. Applied Mathematics and Mechanics, 2021, 42(5): 441-451 (in Chinese). DOI
[12]	唐滨, 李宝君, 刘辉. 国产CAE软件研发支撑平台的设计实现与应用[C]// 中国力学大会论文集(CCTAM 2019). 北京: 中国力学学会, 2019: 2789-2798.
	TANG B, LI B J, LIU H. Design realization and application of domestic CAE software R&D support platform[C]// Proceedings of China Conference on Mechanics (CCTAM 2019). Beijing: Chinese Society of Theoretical and Applied Mechanics, 2019: 2789-2798 (in Chinese).
[13]	程书灿, 赵彦普, 张军飞, 等. 电力设备多物理场仿真技术及软件发展现状[J]. 电力系统自动化, 2022, 46(10): 121-137.
	CHENG S C, ZHAO Y P, ZHANG J F, et al. State of the art of multiphysics simulation technology and software development for power equipment[J]. Automation of Electric Power Systems, 2022, 46(10): 121-137 (in Chinese).
[14]	杨帆, 郝翰学, 王鹏博, 等. 电力装备多物理场数值计算发展现状[J]. 高电压技术, 2023, 49(6): 2348-2364.
	YANG F, HAO H X, WANG P B, et al. State of the art of multiphysics simulation technology for power equipment[J]. High Voltage Engineering, 2023, 49(6): 2348-2364 (in Chinese).
[15]	VASILIAUSKAITE V, EVANS T S, EXPERT P. Cycle analysis of directed acyclic graphs[J]. Physica A: Statistical Mechanics and its Applications, 2022, 596: 127097. DOI URL
[16]	毛军, 杨立国, 郗艳红. 大型轴流风机叶片的气动弹性数值分析研究[J]. 机械工程学报, 2009, 45(11): 133-139.
	MAO J, YANG L G, XI Y H. Numeric analysis of on the pneumatic elasticity of large axial-flow fan blade[J]. Journal of Mechanical Engineering, 2009, 45(11): 133-139 (in Chinese).
[17]	王彬, 杨庆山. 弱耦合算法的实现及其应用[J]. 工程力学, 2008, 25(12): 48-52, 59.
	WANG B, YANG Q S. The realization and application of loosely coupled algorithm[J]. Engineering Mechanics, 2008, 25(12): 48-52, 59 (in Chinese).
[18]	何小伟, 石剑, 刘树森, 等. 机理与数据驱动的物理仿真计算范式及引擎架构[J]. 图学学报, 2024, 45(6): 1207-1221. DOI
	HE X W, SHI J, LIU S S, et al. The computational paradigm and software framework for mechanism and data-driven physical simulation[J]. Journal of Graphics, 2024, 45(6): 1207-1221 (in Chinese). DOI
[19]	MAZHAR F, JAVED A, ALTINKAYNAK A. A novel artificial neural network-based interface coupling approach for partitioned fluid-structure interaction problems[J]. Engineering Analysis with Boundary Elements, 2023, 151: 287-308. DOI URL
[20]	苏波, 钱若军, 袁行飞. 流固耦合界面信息传递理论和方法研究进展[J]. 空间结构, 2010, 16(1): 3-10.
	SU B, QIAN R J, YUAN X F. Advances in research on theory and method of data exchange on coupling interface for FSI analysis[J]. Spatial Structures, 2010, 16(1): 3-10 (in Chinese).
[21]	WANG Y J, WANG S Q, ZHANG X R, et al. Fine-grained heterogeneous parallel direct solver for finite element problems[J]. Computer Physics Communications, 2023, 284: 108637. DOI URL
[22]	MxSimLab. Open source[EB/OL]. [2025-02-05]. https://gitee.com/caiyong_GPU/mx-sim-lab.
[23]	单雅辉, 刘青凯, 杨章, 等. 一种面向数值模拟软件的持续集成平台[J]. 计算机辅助工程, 2020, 29(3): 7-13.
	SHAN Y H, LIU Q K, YANG Z, et al. A continuous integration platform for numerical simulation software[J]. Computer Aided Engineering, 2020, 29(3): 7-13 (in Chinese).
[24]	宋婧. 开源为工业软件提供新思路[N]. 中国电子报, 2022- 08- 09(001).
	SONG J. Open source provides new ideas for industrial software[N]. China Electronic News, 2022-08-09( 001) (in Chinese).
[25]	LEE W, KIM D, PARK Y, et al. Development of a web-based open source CAE platform for simulation of IC engines[J]. International Journal of Automotive Technology, 2020, 21(1): 169-179. DOI
[26]	NodeEditor. Open source[EB/OL]. [2025-01-01]. https://github.com/paceholder/nodeeditor.