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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics

  • Book
  • © 2017

Overview

  • Offers solutions for calibrating the material parameters of models
  • Teaches people performing tests on soft tissues what to extract from the data and how to use these data for their models
  • Provides people worried about the complexity of the biomechanical behaviour of soft issues with relevant approaches to address this complexity
  • Includes supplementary material: sn.pub/extras

Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 573)

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Table of contents (6 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • Center for Biomedical and Healthcare Engineering, MINES Saint-Étienne, Saint-Étienne, France

    Stéphane Avril

  • School of Engineering, Cardiff University, Cardiff, United Kingdom

    Sam Evans

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