Multiblock Method for Fluid Flow
Concepts, Algorithms, and Applications
Series: Nonlinear Systems and Complexity; 40;
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63 226 Ft
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 7 November 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031785672
- Binding Hardback
- No. of pages235 pages
- Size 235x155 mm
- Language English
- Illustrations XVII, 235 p. 106 illus. Illustrations, black & white 700
Categories
Long description:
The multiblock method, known by various names such as the zonal method or domain decomposition method, offers a systematic approach to tackle large-scale, intricate problems by breaking them down into smaller, more manageable sub-problems. Each sub-problem is then addressed individually, taking into account their interconnections to ultimately arrive at a comprehensive solution. This book provides a cohesive overview of the multiblock method's principles, particularly in the context of fluid flows, encompassing diverse fields like aerospace engineering, civil engineering, physical oceanography, and even machine learning. It delves into the foundational mathematics, presents model problems, elucidates numerical algorithms, and offers practical examples relevant to fluid dynamics. With its comprehensive coverage, this book serves as a valuable resource for both learners and practitioners, catering to students, researchers, and modelers alike, whether as a textbook for structured learning or as a reference for applied problem-solving.
Presents DD techniques for fluid flows and difficulties in computation of flows and algorithms to overcome them
Examines DD methods for fluid flows in various aerospace engineering, civil engineering, and coastal engineering
Maximizes reader understanding DD for simulation of emerging multiscale and multiphysics flow problems
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Table of Contents:
Introduction.- Fundamentals of domain decomposition.- Conservation laws.- Compressible flows.- Incompressible flows.- Multiscale and multiphysics flow.- Bibliography.- Appendices: Codes for example computations.
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