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