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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics (Hardcover, 1st ed. 2017) Loot Price: R3,518
Discovery Miles 35 180
Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics (Hardcover, 1st ed. 2017): Stephane Avril,...

Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics (Hardcover, 1st ed. 2017)

Stephane Avril, Sam Evans

Series: CISM International Centre for Mechanical Sciences, 573

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Loot Price R3,518 Discovery Miles 35 180 | Repayment Terms: R330 pm x 12*

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The articles in this book review hybrid experimental-computational methods applied to soft tissues which have been developed by worldwide specialists in the field. People developing computational models of soft tissues and organs will find solutions for calibrating the material parameters of their models; people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: CISM International Centre for Mechanical Sciences, 573
Release date: October 2016
First published: 2017
Editors: Stephane Avril • Sam Evans
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 144
Edition: 1st ed. 2017
ISBN-13: 978-3-319-45070-4
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Science & Mathematics > Biology, life sciences > Cellular biology > General
Books > Professional & Technical > Technology: general issues > Technical design > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
Books > Computing & IT > Computer software packages > Computer graphics software > General
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LSN: 3-319-45070-0
Barcode: 9783319450704

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