Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics

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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.

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

Inhalt
Introduction.- Structural building blocks of soft tissues: tendons and heart valves.- Hyperelasticity of soft tissues and related inverse problems.- How can we measure the mechanical properties of soft tissues?- Damage in vascular tissues and its modeling.- Mechanical behavior of skin: the struggle for the right testing method.- Soft tissue finite element modeling and calibration of the material properties in the context of computer assisted medical interventions.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319450704
    • Editor Sam Evans, Stéphane Avril
    • Sprache Englisch
    • Auflage 1st edition 2017
    • Größe H241mm x B160mm x T15mm
    • Jahr 2016
    • EAN 9783319450704
    • Format Fester Einband
    • ISBN 3319450700
    • Veröffentlichung 24.10.2016
    • Titel Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
    • Untertitel CISM International Centre for Mechanical Sciences 573
    • Gewicht 418g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 164
    • Lesemotiv Verstehen
    • Genre Medical Books

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