Computational Modeling in Biomechanics
Availability of advanced computational technology has fundamentally altered the investigative paradigm in the field of biomechanics. Armed with sophisticated computational tools, researchers are seeking answers to fundamental questions by exploring comple
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Suvranu De Farshid Guilak Mohammad R. K. Mofrad Editors
Computational Modeling
Computational Modeling in Biomechanics 123
Computational Modeling in Biomechanics
Suvranu De • Farshid Guilak Mohammad R.K. Mofrad Editors
Computational Modeling in Biomechanics
123
Editors Dr. Suvranu De Rensselaer Polytechnic Institute Dept. Mechanical, Aerospace & Nuclear Engineering 110 8th Street Troy NY 12180-3590 USA [email protected]
Dr. Mohammad R.K. Mofrad University of California, Berkeley Dept. Bioengineering 208A Stanley Hall Berkeley CA 94720-1762 USA [email protected]
Dr. Farshid Guilak Duke University Medical Center Div. Orthopaedic Surgery Durham NC 27710 Box 3093 USA [email protected]
ISBN 978-90-481-3574-5 e-ISBN 978-90-481-3575-2 DOI 10.1007/978-90-481-3575-2 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009942257 c Springer Science+Business Media B.V. 2010 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Cover design: eStudio Calamar S.L. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface: Computational Modeling in Biomechanics
Biomechanics involves the study of the interactions of physical forces and deformations with biology. With an increasing appreciation of the complexity of biological molecules, cells, tissues, and organisms, this field has undergone an exciting period of rapid growth and advancement in the past two decades, with the introduction of a number of new engineering and biological technologies. In particular, the ability to develop and analyze new computational biomechanical models is progressing rapidly, with unprecedented capabilities to analyze complex geometries, constitutive models, or biological activity. New modeling approaches are being developed that can seamlessly integrate multiple disciplines, such as imaging with biomechanics, chemical reactions with fluid dynamics, or tissue growth with mathematical modeling. Similarly, significant progress is being made in developing complex models that incorporate multiple phases to describe cells and tissues, high temporal and spatial resolutions, and constitutive models that can incorporate nonlinearity, viscoelasticity, and anisotropy. Finally, rapid advances in computational power has opened up the possibility to model biomechanical phenomena at the molecular level using ab initio quantum mechanical and other atomistic tools while efficient scale linking strategies allow the investigation of biomechanical systems at extraordinary resolution with reasonable computational complexity. In this text, we present a number of recent studies focusing on a variety of different aspects of computation
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