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Uncertainty Quantification in Laminated Composites - A Meta-model Based Approach (Paperback) Loot Price: R1,491
Discovery Miles 14 910
Uncertainty Quantification in Laminated Composites - A Meta-model Based Approach (Paperback): Sudip Dey, Tanmoy Mukhopadhyay,...

Uncertainty Quantification in Laminated Composites - A Meta-model Based Approach (Paperback)

Sudip Dey, Tanmoy Mukhopadhyay, Sondipon Adhikari

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Loot Price R1,491 Discovery Miles 14 910 | Repayment Terms: R140 pm x 12*

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Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures. Several metamodels have been studied and comparative results have been presented for different static and dynamic responses. Results for sensitivity analyses are provided for a comprehensive coverage of the relative importance of different material and geometric parameters in the global structural responses.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: March 2021
First published: 2019
Authors: Sudip Dey • Tanmoy Mukhopadhyay • Sondipon Adhikari
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 366
ISBN-13: 978-0-367-78079-1
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Professional & Technical > Environmental engineering & technology > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
LSN: 0-367-78079-8
Barcode: 9780367780791

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