Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics [electronic resource] / edited by Stéphane Avril, Sam Evans.
Contributor(s): Avril, Stéphane [editor.] | Evans, Sam [editor.] | SpringerLink (Online service).
Material type: BookSeries: CISM International Centre for Mechanical Sciences, Courses and Lectures: 573Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIX, 144 p. 66 illus., 42 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319450711.Subject(s): Biomedical engineering | Materials | Engineering design | Regenerative medicine | Computer simulation | Biomaterials | Biomedical Engineering and Bioengineering | Materials Engineering | Engineering Design | Regenerative Medicine and Tissue Engineering | Computer Modelling | BiomaterialsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 610.28 Online resources: Click here to access onlineIntroduction -- 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.
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.
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