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Titlebook: Computation of Unsteady Internal Flows; Fundamental Methods Paul G. Tucker Book 2001 Springer Science+Business Media New York 2001 computa

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书目名称Computation of Unsteady Internal Flows
副标题Fundamental Methods
编辑Paul G. Tucker
视频video
图书封面Titlebook: Computation of Unsteady Internal Flows; Fundamental Methods  Paul G. Tucker Book 2001 Springer Science+Business Media New York 2001 computa
描述.Computation of Unsteady Internal Flows. provides anin-depth understanding of unsteady flow modeling and algorithms. Thisunderstanding enables suitable algorithms and approaches forparticular fields of application to be selected. In addition, theunderstanding of the behavior of algorithms gained allowspractitioners to use them more safely in existing codes, enablingmeaningful results to be produced more economically. .Features of .Computation of Unsteady Internal Flows.:. Specialized unsteady flow modeling algorithms, theirtraits, and practical tips relating to their use are presented... Case studies considering complex, practically significantproblems are given. .. Source code and set-up files are included.Intended to be of a tutorial nature, these enable the reader toreproduce and extend case studies and to further explore algorithmperformances. .. Mathematical derivations are used in a fashionthat illuminates understanding of the physical implications ofdifferent numerical schemes. Physically intuitive mathematicalconcepts are used... New material on adaptive time stepping isincluded. £/LIST£ .Audience:. Researchers in both the academic andindustrial areas who wish to gain in-de
出版日期Book 2001
关键词computational fluid dynamics; dynamics; fluid dynamics; material; modeling; turbulence; fluid- and aerodyn
版次1
doihttps://doi.org/10.1007/978-1-4615-1439-8
isbn_softcover978-1-4613-5554-0
isbn_ebook978-1-4615-1439-8
copyrightSpringer Science+Business Media New York 2001
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Stroke Revisited: Pathophysiology of Strokeedictive behaviour of a wide range of turbulence models is compared when computing a complex system cyclic flow. Some of the adaptive time-step approaches described in Chapter 5 are also further tested.
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