"Seen Is Solution" a CAD/CAE integrated parallel reanalysis design system

"Seen Is Solution" a CAD/CAE integrated parallel reanalysis design system
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“Seen Is Solution”CAD/CAE集成并行再分析设计系统

DOI:
10.1016/j.cma.2015.10.022
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发表时间:
2016
影响因子:
7.2
通讯作者:
Li Guangyao
Li Guangyao
中科院分区:
工程技术1区
文献类型:
--
作者:
Wang Hu;Zeng Yang;Li Enying;Huang Guangxin;Gao Guoqiang;Li Guangyao

文献摘要

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本研究开发了一个由基于三角形面片的CAD造型模块、三角形单元模拟求解器、再分析快速求解器和多GPU并行平台4层组成的CAD/CAE集成再分析设计系统。CAD/CAE集成系统概念通常在闭环系统设计过程中应用(例如,自适应优化和拓扑优化)。然而,大多数工程师为了同步获得相应的分析结果而对设计进行了自由调整。基于这一概念,所开发的系统的定义特征是它的“见即解”方法,因此被称为SIS系统。与其他CAD/CAE集成系统(例如等几何分析(IGA))一样,设计者只需构建CAD模型、定义约束和调整设计。相应的结果必须在线显示给设计师。该系统的基础是边缘光滑有限元方法和重分析的结合。为了提高设计过程的效率,系统还在多GPU计算平台上进行了并行化。该系统已应用于汽车设计中,大大缩短了设计周期。此外,SIS系统还可以与流行的闭环优化方法集成。
In this study, a CAD/CAE integrated reanalysis design system composed of 4 layers, i.e., triangle patch-based CAD modeling module, triangle element simulation solver, reanalysis faster solver and multi-GPU parallel platform, is developed. The CAD/CAE integrated system concept is typically applied during closed loop design procedures (e.g., adaptive optimization and topological optimization). However, most engineers freely adjust the design aiming to obtain corresponding analytical results synchronously. Based on this concept, the defining characteristic of the developed system is its “Seen Is Solution” approach, and it is thus coined the SIS system. As is the case for other CAD/CAE integrated systems (e.g., IsoGeometric Analysis (IGA)), the designer is only required to build a CAD model, define constraints and adjust designs. Corresponding results must be shown to designers online. The basis of the developed system involves the integration of Edge Smooth Finite Element Methods (ES-FEM) and reanalysis. To improve the efficiency of the design procedure, the system is also parallelized based on a multi-GPU computational platform. The developed system has been applied to vehicular design and has been found to shorten the design cycle significantly. Moreover, the SIS system can be integrated with popular closed loop optimization methods.