Physical Modeling and Computational Techniques for Thermal and Fluid-dynamics

Physical Modeling and Computational Techniques for Thermal and Fluid-dynamics

EnglishHardbackPrint on demand
Bottoni Maurizio
Springer, Berlin
EAN: 9783030797164
Print on demand
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Detailed information

This book on computational techniques for thermal and fluid-dynamic problems arose from seminars given by the author at the Institute of Nuclear Energy Technology of Tsinghua University in Beijing, China. The book is composed of eight chapters-- some  of which are characterized by a scholastic approach, others are devoted to numerical solution of ordinary differential equations of first order, and of partial differential equations of first and second order, respectively. In Chapter IV, basic concepts of consistency, stability and convergence of discretization algorithms are covered in some detail. Other parts of the book follow a less conventional approach, mainly informed by the author’s experience in teaching and development of computer programs. Among these is Chapter III, where the residual method of Orthogonal Collocations is presented in several variants, ranging from the classical Galerkin method to Point and Domain Collocations, applied to numerical solution of partial differential equations of first order. In most cases solutions of fluid dynamic problems are led through the discretization process, to the numerical solutions of large linear systems. Intended to impart a basic understanding of numerical techniques that would enable readers to deal with problems of Computational Fluid Dynamics at research level, the book is ideal as a reference for graduate students, researchers, and practitioners. 

EAN 9783030797164
ISBN 3030797163
Binding Hardback
Publisher Springer, Berlin
Publication date November 13, 2021
Pages 524
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Bottoni Maurizio
Illustrations 44 Tables, color; 45 Illustrations, color; 42 Illustrations, black and white; XXVII, 524 p. 87 illus., 45 illus. in color.
Edition 1st ed. 2022
Series Mechanical Engineering Series