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发布时间: 2016-10-10 来源: 作者: 访问次数:
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  应流域水循环模拟与调控国家重点实验室第五方向的邀请,澳大利亚新南威尔士大学土木与环境工程学院宋崇民教授将于2016年10月11日(周二)来我院进行学术交流并作专题报告,介绍工程数值分析与几何建模方法,欢迎各位专家、学者和研究生到会交流。

    

  报告题目:An Automated Approach for Integrating Geometric Modelling with Engineering Analysis

  报告人:宋崇民

  报告时间:2016年10月11日周二上午9:30

  报告地点:中国水科院南院A座1032会议室

  

  报告人宋崇民教授简历:

  Dr. Chongmin Song is a Professor at the School of Civil & Environmental Engineering, University of New South Wales, Australia. He obtained the degrees of Bachelor and Master of Engineering from Tsinghua University, China and the degree of Doctor of Engineering from the University of Tokyo, Japan. His current research interests are on the development of advanced numerical methods and their application to structural and geotechnical engineering. He is one of the two original creators of the scaled boundary finite element method. He has published 120 papers in top-tier archive journals.

  报告内容简介:

  An Automated Approach for Integrating Geometric Modelling with Engineering Analysis

  Research on numerical methods has transformed the way engineering analyses and designs are performed in practice. A vital component of the research is the automation of the complete process from geometric modelling of a project to the numerical simulation. In spite of the significant progress researchers have made in this area, the numerical modelling and simulation is too often still a time-consuming and daunting task in engineering. Furthermore, numerical simulations based on digital images and STL models, which are increasingly popular owing to the rapid advance in digital imaging technologies and 3D printing, pose additional challenges.

  

  In this talk, a technique to fully automate the numerical modelling and simulation process will be presented. The development is underpinned by our recent research on constructing general polytope (polygon in 2D and polyhedron in 3D) elements based on the scaled boundary finite element method. The polytope elements can have any number of faces, edges and vertices and offer a much higher degree of flexibility in mesh generation. This allows the development of a polytope mesh generator based on the simple and efficient quatree/octree algorithm. Geometrical models provided as CAD, STL and digital imaging files can be handled in a unified approach. The whole analysis process is fully automatic. The efficiency, robustness and some salient features of the proposed technique will be demonstrated. Potential research and applications of this novel technique will be discussed.

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