02715nam 2200457 450 99641844090331620210311121320.0981-15-9011-710.1007/978-981-15-9011-5(CKB)5590000000005341(MiAaPQ)EBC6419847(DE-He213)978-981-15-9011-5(PPN)269146466(EXLCZ)99559000000000534120210311d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvancement of shock capturing computational fluid dynamics methods numerical flux functions in finite volume method /Keiichi Kitamura1st ed. 2020.Singapore :Springer,[2020]©20201 online resource (XI, 136 p. 52 illus., 13 illus. in color.) 981-15-9010-9 Introduction: Brief Review of Finite Volume Method (FVM) in Computational Fluid Dynamics -- Role and History of Numerical Flux Functions -- Numerical Flux Functions for Ideal Gases -- Numerical Flux Functions Extended to Real Fluids -- Reconstruction and Slope Limiters.This book offers a compact primer on advanced numerical flux functions in computational fluid dynamics (CFD). It comprehensively introduces readers to methods used at the forefront of compressible flow simulation research. Further, it provides a comparative evaluation of the methods discussed, helping readers select the best numerical flux function for their specific needs. The first two chapters of the book reviews finite volume methods and numerical functions, before discussing issues commonly encountered in connection with each. The third and fourth chapter, respectively, address numerical flux functions for ideal gases and more complex fluid flow cases— multiphase flows, supercritical fluids and magnetohydrodynamics. In closing, the book highlights methods that provide high levels of accuracy. The concise content provides an overview of recent advances in CFD methods for shockwaves. Further, it presents the author’s insights into the advantages and disadvantages of each method, helping readers implement the numerical methods in their own research.Fluid dynamicsFluid dynamicsMethodsFluid dynamics.Fluid dynamics532.05Kitamura Keiichi867248MiAaPQMiAaPQMiAaPQBOOK996418440903316Advancement of shock capturing computational fluid dynamics methods1935711UNISA