Giga-Voxel的多尺度复合架构通过数据对模型闭环数字双胞胎镜像.
Siwon Yu1,2, Seungsoo Jang1, Young Seok Cho3
1Department of Mechanical Engineering, KAIST, Daejeon, 34141, Republic of Korea.
Advanced materials (Deerfield Beach, Fla.)
|November 24, 2025
概括
我们开发了一种数字双胞胎工作流程,以创建复合材料的详细千兆声素模型. 这种方法有效地生成用于微结构分析的高保真度虚拟表示.
科学领域:
- 材料科学 材料科学 材料科学
- 计算建模 计算建模
- 数字双胞胎是一个数字双胞胎.
背景情况:
- 千兆音像数码模型提供了高的几何细节,但缺乏有效的分发方法.
- 由于目前的方法限制,设计复杂的异型复合材料具有挑战性.
研究的目的:
- 提出一个系统的数字双胞胎工作流程,用于生成异型复合微结构的高保真性虚拟表示.
- 使用集成的自上而下的和自下而上的方法创建千兆声元的中结构模型.
主要方法:
- 利用了数字双胞胎工作流,将基于图像的建模和数据驱动的生成相结合.
- 采用X射线断层扫描来描述3D图像数据中的几何属性.
- 通过随机种子生成和等级组装创建具有独特身份的数字单元双胞胎.
主要成果:
- 证明了微数字表示作为 mesostructural 模型的构建块的有效性.
- 成功生成了在千兆声码级别的等级模型,在多个长度尺度上与汇编关系.
- 在微观到宏观的几何洞察力中保留了内在的微观结构细节.
结论:
- 拟议的工作流允许高效地生成对异型复合材料的详细千兆声素模型.
- 数字单位双胞胎是大规模,高保真度虚拟材料表示的基础元素.
- 这种方法为微观至宏观几何学提供了复杂的见解,同时保持了微观结构的忠实性.
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