《计算机应用》唯一官方网站 ›› 2026, Vol. 46 ›› Issue (8): 2668-2680.DOI: 10.11772/j.issn.1001-9081.2025070923
• 前沿与综合应用 • 上一篇
唐名1, 王立刚2, 彭一帆1, 刘建涛1(
), 曾庆丰3, 符美桐1, 侯云潇1, 关康4
收稿日期:2025-08-11
修回日期:2025-10-29
接受日期:2025-10-30
发布日期:2025-11-05
出版日期:2026-08-10
通讯作者:
刘建涛
作者简介:唐名(1997—),男,四川绵阳人,硕士研究生,主要研究方向:复合材料的跨尺度性能预测、自主CAE软件开发基金资助:
Ming TANG1, Ligang WANG2, Yifan PENG1, Jiantao LIU1(
), Qingfeng ZENG3, Meitong FU1, Yunxiao HOU1, Kang GUAN4
Received:2025-08-11
Revised:2025-10-29
Accepted:2025-10-30
Online:2025-11-05
Published:2026-08-10
Contact:
Jiantao LIU
About author:TANG Ming, born in 1997, M. S. candidate. His research interests include cross-scale performance prediction of composite materials, autonomous CAE software development.Supported by:摘要:
复合材料因兼具轻质、高强和性能可设计等诸多优点,在宇航、船舶和高铁等领域的大型装备中应用前景广阔。当前商业软件多集中于复合材料数字化设计、性能预测、宏观响应模拟和结构优化等单尺度功能,且多款软件联合使用时易发生版本不兼容和数据格式不互通等问题,难以满足当前高端装备研制对复合材料-构件-系统一体化的按需设计要求。为此,结合面向对象的方法和模块化设计思路,设计并自主研发一款复合材料与结构的设计-仿真-优化软件研发的跨系统共性支撑平台——SWJTU-CAX。该平台以跨系统开发环境Qt和数据可视化库VTK为基础工具,采用数据层、逻辑处理层和表现层为总体架构,有效地解决复合材料及结构设计、跨尺度仿真、性能预测、并行求解和优化设计全过程的数据管理与流转、功能组织与模块拓展、大规模数据高效存取与可视化等核心难点。此外,采用模块化方式和CMake工具进行SWJTU-CAX代码组织与功能测试,通过XML文件管理和增减平台所需的功能模块,实现复合材料与结构的设计-仿真-优化及其他功能模块的快速集成与拓展。最终,以陶瓷复合材料及构件为例,采用SWJTU-CAX平台完成任意编织形式陶瓷复合材料的数字化建模、跨尺度性能预测、响应仿真和结构材料的一体化优化设计与软件开发,验证了该跨系统平台架构、数据组织及项目管理方式的可行性。可见,SWJTU-CAX平台的开发为深入探究非均质材料跨尺度失效机制、装备-构件-材料一体的按需设计及设备复合材料的服役安全评价提供了有力工具,并为国产工业软件架构的研发提供了技术思路参考。
中图分类号:
唐名, 王立刚, 彭一帆, 刘建涛, 曾庆丰, 符美桐, 侯云潇, 关康. 国产自主复合材料及结构的设计-仿真-优化一体化平台SWJTU⁃CAX研发[J]. 计算机应用, 2026, 46(8): 2668-2680.
Ming TANG, Ligang WANG, Yifan PENG, Jiantao LIU, Qingfeng ZENG, Meitong FU, Yunxiao HOU, Kang GUAN. Research and development of SWJTU-CAX: a self-developed integrated platform for design-simulation-optimization of composite materials and structures[J]. Journal of Computer Applications, 2026, 46(8): 2668-2680.
| 模型 | 材料 | ||
|---|---|---|---|
| 节点数 | 单元数 | 杨氏模量/Pa | 泊松比 |
| 5 042 | 24 685 | 2.1×1011 | 0.3 |
表1 计算模型的基本参数
Tab. 1 Basic parameters of computational model
| 模型 | 材料 | ||
|---|---|---|---|
| 节点数 | 单元数 | 杨氏模量/Pa | 泊松比 |
| 5 042 | 24 685 | 2.1×1011 | 0.3 |
| 模型编号 | 节点数 | 单元数 | 耗时/s | 内存占用量/MB |
|---|---|---|---|---|
| 模型1 | 13 824 | 12 167 | 0.052 | 138.4 |
| 模型2 | 1 030 301 | 1 000 000 | 3.555 | 228.1 |
| 模型3 | 10 793 861 | 10 648 000 | 3.940 | 1 139.1 |
| 模型4 | 27 270 901 | 27 000 000 | 101.570 | 2 655.7 |
| 模型5 | 64 481 201 | 64 000 000 | 275.290 | 1 002.4 |
| 模型6 | 85 766 121 | 85 184 000 | 413.270 | 468.2 |
表2 平台大规模数据下的测试指标
Tab. 2 Test metrics under large-scale data on platform
| 模型编号 | 节点数 | 单元数 | 耗时/s | 内存占用量/MB |
|---|---|---|---|---|
| 模型1 | 13 824 | 12 167 | 0.052 | 138.4 |
| 模型2 | 1 030 301 | 1 000 000 | 3.555 | 228.1 |
| 模型3 | 10 793 861 | 10 648 000 | 3.940 | 1 139.1 |
| 模型4 | 27 270 901 | 27 000 000 | 101.570 | 2 655.7 |
| 模型5 | 64 481 201 | 64 000 000 | 275.290 | 1 002.4 |
| 模型6 | 85 766 121 | 85 184 000 | 413.270 | 468.2 |
图15 陶瓷复合材料的复杂微结构的智能建模和大规模模型可视化
Fig. 15 Intelligent modelling and large-scale model visualization of complex microstructures in ceramic composite materials
图16 陶瓷复合材料数字化设计与多尺度性能仿真专用软件结果可视化
Fig. 16 Visualisation of results from dedicated software for digital design and multi-scale performance simulation of ceramic composite materials
图19 复合材料构件的热-力性能仿真与优化设计的专用软件结果可视化
Fig. 19 Visualisation of results from dedicated software for thermal-force performance simulation and optimization design of composite material components
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