Overview
- Presents contributions from both solid mechanics and applied mathematics experts
- Gives code-coupling strategy for efficient development of scientific software for large-scale computations
- Treats coupled probability-nonlinear-mechanics problems and solution methods
- Provides a modern mathematical and computational setting for multi-phase flows and fluid-structure interaction
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 41)
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Table of contents (17 chapters)
Keywords
About this book
Topics dealt with include multiscale strategy for efficient development of scientific software for large-scale computations, coupled probability-nonlinear-mechanics problems and solution methods, and modern mathematical and computational setting for multi-phase flows and fluid-structure interaction.
The papers consist of contributions by six experts who taught short courses prior to the conference, along with several selected articles from other participants dealing with complementary issues, covering both solid mechanics and applied mathematics.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Methods for Solids and Fluids
Book Subtitle: Multiscale Analysis, Probability Aspects and Model Reduction
Editors: Adnan Ibrahimbegovic
Series Title: Computational Methods in Applied Sciences
DOI: https://doi.org/10.1007/978-3-319-27996-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-27994-7Published: 25 February 2016
Softcover ISBN: 978-3-319-80254-1Published: 14 March 2019
eBook ISBN: 978-3-319-27996-1Published: 12 February 2016
Series ISSN: 1871-3033
Series E-ISSN: 2543-0203
Edition Number: 1
Number of Pages: XII, 493
Number of Illustrations: 224 illustrations in colour
Topics: Theoretical and Applied Mechanics, Computational Science and Engineering, Theoretical, Mathematical and Computational Physics