Authors:
- Presents the new idea of "tractable models" – an approach for a systematic description of Solid Mechanics
- The idea of tractable models is illustrated by reviewing classical models as tractable models and worked out systematically worked out for models used in modern Solid mechanics
- Written for experts in this field
- Includes supplementary material: sn.pub/extras
Part of the book series: Foundations of Engineering Mechanics (FOUNDATIONS)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“This book by L. I. Manevitch and O. V. Gendelman is focused on a series of so-called ‘tractable models’. … This book presents new original ideas in analysis of models from very different topics of nonlinear mechanics. The proposed approaches allow the authors to simplify complicated nonlinear problems and describe some important solutions. This book may be useful for specialists dealing with nonlinear mechanics, for theoretical physicists, and also for use in academic courses. The book is recommended for libraries.” (Yuri V. Mikhlin, Mathematical Reviews, Issue 2012 a)
Authors and Affiliations
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Inst. Chemical Physics, Russian Academy of Sciences, Moskva, Russian Federation
Leonid I. Manevitch
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Fac. Mechanical Engineering, Technion Israel Institute of Technology, Haifa, Israel
Oleg V. Gendelman
Bibliographic Information
Book Title: Tractable Models of Solid Mechanics
Book Subtitle: Formulation, Analysis and Interpretation
Authors: Leonid I. Manevitch, Oleg V. Gendelman
Series Title: Foundations of Engineering Mechanics
DOI: https://doi.org/10.1007/978-3-642-15372-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-15371-6Published: 07 January 2011
Softcover ISBN: 978-3-642-26662-1Published: 27 February 2013
eBook ISBN: 978-3-642-15372-3Published: 04 January 2011
Series ISSN: 1612-1384
Series E-ISSN: 1860-6237
Edition Number: 1
Number of Pages: XIV, 302
Topics: Mechanical Engineering, Computational Intelligence, Classical Mechanics, Complex Systems, Mathematical and Computational Engineering, Statistical Physics and Dynamical Systems