Articoli correlati a The Feature-driven Method for Structural Optimization

The Feature-driven Method for Structural Optimization - Brossura

Zhang, Weihong; Zhou, Ying

 
9780128213308: The Feature-driven Method for Structural Optimization
Brossura
ISBN 10: 0128213302 ISBN 13: 9780128213308
Casa editrice: Elsevier Science Ltd, 2020

Sinossi

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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Informazioni sugli autori

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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Editore
Elsevier Science Ltd
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
0128213302
ISBN 13 
9780128213308
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
348
Contatto del produttore
Elsevier GmbH
https://www.elsevier.com/

Jägerstraße 41
Berlin
Berlin
10117
Germania