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020 _a9783030170127
024 7 _a10.1007/978-3-030-17012-7
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTL574 .T8
_b2019 EB
245 0 0 _aHigh-performance computing of big data for turbulence and combustion
_cedited by Sergio Pirozzoli, Tapan K. Sengupta
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (IX, 250 páginas)
_b170 ilustraciones, 71 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aCISM International Centre for Mechanical Sciences Courses and Lectures
_x0254-1971
_v592
490 0 _aEngineering (Springer-11647)
505 0 _aFocusing Phenomenon in Numerical Solution of Two-Dimensional Navier-Stokes Equation -- Space-Time Resolution for Transitional and Turbulent Flows -- Finite Difference Methods for Incompressible and Compressible Turbulence -- Physical and Numerical Instabilities in Simulations of Re-acting and non-Reacting Flows -- Low-Rank Approximation of Multidimensional Data.
520 3 _aThis book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.
650 7 _2embne
_aTurbulencia
_9146679
650 7 _2embne
_aCombustión
_9139328
650 7 _2embne
_aMecánica de fluidos
_9138336
700 1 _aPirozzoli, Sergio.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSengupta, Tapan K.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030170110
776 0 8 _iPrinted edition:
_z9783030170134
776 0 8 _iPrinted edition:
_z9783030170141
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-17012-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b11/2019
_eel
_zSI