几何特征与工程语义关联驱动的智能数值仿真研究

项目名称： 几何特征与工程语义关联驱动的智能数值仿真研究

项目编号： No.51305051

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 机械、仪表工业

项目作者： 马沁怡

作者单位： 大连工业大学

项目金额： 24万元

中文摘要： 针对仿真分析过程缺乏知识积累的问题，本课题从知识重用角度提出几何特征和工程语义关联驱动的智能数值仿真方法，围绕工程语义标注、仿真分析方案智能生成、设计/分析信息集成等关键问题展开研究，旨在降低实施工程分析的门槛，缩短设计周期，满足快速设计的需要。研究基于本体的几何模型语义标注方法，通过建立领域知识和几何特征之间的引用关系，捕捉设计意图，为仿真分析方案智能生成提供规范化的分析情境模型；探讨多模态知识支持策略，根据情境模型，综合运用基于实例的推理和基于规则的推理，提出支持分析方案重用的知识推理算法，构建解决方案的语义模型；针对产品开发过程中数据多样性的特点，考虑设计-分析信息交互的完备性及轻量化数据交换的要求，研究多层次数据表达及集成传递方法，提出语义-特征匹配算法，建立产品分析方案语义与几何特征之间的映射关系，并在商用分析平台上进行仿真实验，验证方法的有效性。

中文关键词： 特征；语义；本体；智能；有限元分析

英文摘要： According to the issue of lack of knowledge accumulation in simulation analysis process, the project presents an intelligent numerical simulation (INS) method drove by engineering semantic and geometric features from the knowledge reuse perspective. It focuses on the engineering semantics labeling, intelligent analysis solution making and design/analysis information integrating in order to lower the implementation threshold of CAE , shorten the time of design cycle and satisfy the need of rapid design. An ontology based method which intends to semantically annotate the CAD models is proposed. The method captures design intention and generates a standardization scenario model for INS by establishing the reference between the domain knowledge and geometric features. A multi-modal knowledge support strategy is proposed. According to scenario model, a knowledge reasoning algorithm supporting the reuse of analysis solution is studied by the integration of CBR and RBR. According to the diversity of product development data, considered the complete interaction between design-analysis information and the request of lightweight data exchange, a hierarchy transfer approach is put forward and a semantic-features matching algorithm is discussed to establish the mapping relationship between the semantic of simulation solut

英文关键词： feature；semantic；ontology；intelligent；finite element analysis