Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics (CISM International Centre for Mechanical Sciences, 573)
ISBN 10: 3319832026 ISBN 13: 9783319832029
Verlag: Springer, 2018
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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.
Von der hinteren Coverseite: 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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Titel: Material Parameter Identification and ...
Verlag: Springer
Erscheinungsdatum: 2018
Einband: Softcover
Zustand: New
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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Artikel-Nr. 29464088/2
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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. Artikel-Nr. 29464088/1
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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
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Springer International Publishing, 2018
ISBN 10: 3319832026
ISBN 13: 9783319832029
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Taschenbuch. Zustand: Neu. Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics | Sam Evans (u. a.) | Taschenbuch | xix | Englisch | 2018 | Springer International Publishing | EAN 9783319832029 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 114227137
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Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
ISBN 10: 3319832026
ISBN 13: 9783319832029
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319832029
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