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Material parameter identification and inverse problems in soft tissue biomechanics
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 m...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-45071-1 http://cds.cern.ch/record/2240439 |
_version_ | 1780953050959052800 |
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author | Avril, Stéphane Evans, Sam |
author_facet | Avril, Stéphane Evans, Sam |
author_sort | Avril, Stéphane |
collection | CERN |
description | 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. |
id | cern-2240439 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22404392021-04-21T19:24:11Zdoi:10.1007/978-3-319-45071-1http://cds.cern.ch/record/2240439engAvril, StéphaneEvans, SamMaterial parameter identification and inverse problems in soft tissue biomechanicsEngineeringThe 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.Springeroai:cds.cern.ch:22404392017 |
spellingShingle | Engineering Avril, Stéphane Evans, Sam Material parameter identification and inverse problems in soft tissue biomechanics |
title | Material parameter identification and inverse problems in soft tissue biomechanics |
title_full | Material parameter identification and inverse problems in soft tissue biomechanics |
title_fullStr | Material parameter identification and inverse problems in soft tissue biomechanics |
title_full_unstemmed | Material parameter identification and inverse problems in soft tissue biomechanics |
title_short | Material parameter identification and inverse problems in soft tissue biomechanics |
title_sort | material parameter identification and inverse problems in soft tissue biomechanics |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-45071-1 http://cds.cern.ch/record/2240439 |
work_keys_str_mv | AT avrilstephane materialparameteridentificationandinverseproblemsinsofttissuebiomechanics AT evanssam materialparameteridentificationandinverseproblemsinsofttissuebiomechanics |