The Feature-driven Method for Structural Optimization - Couverture souple

Zhang, Weihong; Zhou, Ying

 
9780128213308: The Feature-driven Method for Structural Optimization
Couverture souple
ISBN 10 : 0128213302 ISBN 13 : 9780128213308
Editeur : Elsevier Science Publishing Co Inc, 2020

Synopsis

The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the feature-driven structural optimization method by regarding engineering features as basic design primitives. Consequently, it presents a method that allows structural optimization and feature design to be done simultaneously so that feature attributes are preserved throughout the design process. The book illustrates and supports the effectiveness of the method described, showing potential applications through numerical modeling techniques and programming.

This volume presents a high-performance optimization method adapted to engineering structures--a novel perspective that will help engineers in the computation, modeling and design of advanced structures.

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À propos des auteurs

Prof. Weihong Zhang obtained his PhD in University of Liège, Belgium. He is currently Vice-President of Northwestern Polytechnical University, Cheung Kong Chair Professor and Distinguished Young Scholar of National Natural Science Foundation of China. His research interests cover Computational Mechanics of Solids and Structures, Optimal Designs of Advanced Materials, Structures and Advanced Manufacturing Process.

Researcher at Northwestern Polytechnical University in China. Her research focuses on innovative topology optimization methods, and feature-driven methods for structural optimization. She has published nine papers on computational mechanics and structural optimization

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Éditeur
Elsevier Science Publishing Co Inc
Date d'édition
2020
Langue
anglais
ISBN 10 
0128213302
ISBN 13 
9780128213308
Reliure
Broché
Nombre de pages
350
Coordonnées du fabricant
Elsevier GmbH
https://www.elsevier.com/

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