首页> 外文会议> >A knowledge-based approach to model idealization in FEM
【24h】

A knowledge-based approach to model idealization in FEM

机译:FEM中基于知识的模型理想化方法

获取原文

摘要

Finite element analysis (FEA) pre-processing is considered to be an art-form requiring many years of experience before the necessary expertise can be obtained by human analysts to efficiently and reliable develop a numerical model. In the "real" world, design models rarely match the simplistic approach adopted in an academic environment to FEA. Complex 3D parts with intricate boundary and loading conditions are commonly dealt with. Model idealization is an important pre-processing phase of FEA, intended to create a simplified analysis geometry while accurately representing the design form, function and intent. A rule-based expert system named DESIDE-X has been developed which integrates object-oriented programming, a CSG feature-based design representation system and an idealization rule-system that uses heuristic and procedural methods to remove or simplify geometric features that are insignificant from the FEA perspective.
机译:有限元分析(FEA)预处理被认为是一种艺术形式,需要多年的经验才能使人类分析人员获得必要的专业知识,从而高效,可靠地开发数值模型。在“现实”世界中,设计模型很少与学术环境中采用的FEA简化方法相匹配。通常处理具有复杂边界和加载条件的复杂3D零件。模型理想化是FEA的重要预处理阶段,旨在创建简化的分析几何图形,同时准确表示设计形式,功能和意图。已开发出名为DESIDE-X的基于规则的专家系统,该系统集成了面向对象的程序,基于CSG特征的设计表示系统以及理想化规则系统,该理想化规则系统使用启发式和程序化方法来删除或简化从中不重要的几何特征。 FEA观点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号