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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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The Feature-Driven Method for Structural Optimization (Paperback) Loot Price: R3,674
Discovery Miles 36 740
The Feature-Driven Method for Structural Optimization (Paperback): Weihong Zhang, Ying Zhou

The Feature-Driven Method for Structural Optimization (Paperback)

Weihong Zhang, Ying Zhou

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Loot Price R3,674 Discovery Miles 36 740 | Repayment Terms: R344 pm x 12*

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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.

General

Imprint: Elsevier Science Publishing Co Inc
Country of origin: United States
Release date: November 2020
First published: 2021
Authors: Weihong Zhang • Ying Zhou
Dimensions: 229 x 152 x 24mm (L x W x T)
Format: Paperback
Pages: 350
ISBN-13: 978-0-12-821330-8
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Professional & Technical > Civil engineering, surveying & building > Structural engineering > General
Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
LSN: 0-12-821330-2
Barcode: 9780128213308

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