株式会社極東書店トップ商品一覧A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows: Volume II: Practical Implementation and Applications of an Anisotropic Hybrid k-omega Shear-Stress Transport/Stochastic Turbulence Model. 2021 ed.

商品詳細

A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows: Volume II: Practical Implementation and Applications of an Anisotropic Hybrid k-omega Shear-Stress Transport/Stochastic Turbulence Model. 2021 ed.

A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows: Volume II: Practical Implementation and Applications of an Anisotropic Hybrid k-omega Shear-Stress Transport/Stochastic Turbulence Model. 2021 ed.

・ISBN 978-3-030-60602-2 hard EUR 139.99

¥37,418.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Koenoezsy, Laszlo,
シリーズ (Fluid Mechanics and Its Applications)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2020
ページ数500 pp.
言語ENG
ニュース番号<A02-86761>

解説

This self-contained, interdisciplinary book encompasses mathematics, physics, computer programming, analytical solutions and numerical modelling, industrial computational fluid dynamics (CFD), academic benchmark problems and engineering applications in conjunction with the research field of anisotropic turbulence. It focuses on theoretical approaches, computational examples and numerical simulations to demonstrate the strength of a new hypothesis and anisotropic turbulence modelling approach for academic benchmark problems and industrially relevant engineering applications. This book contains MATLAB codes, and C programming language based User-Defined Function (UDF) codes which can be compiled in the ANSYS-FLUENT environment. The computer codes help to understand and use efficiently a new concept which can also be implemented in any other software packages. The simulation results are compared to classical analytical solutions and experimental data taken from the literature. A particular attention is paid to how to obtain accurate results within a reasonable computational time for wide range of benchmark problems. The provided examples and programming techniques help graduate and postgraduate students, engineers and researchers to further develop their technical skills and knowledge.