000 04201nam a22005535i 4500
001 978-3-030-17012-7
003 DE-He213
005 20220801214840.0
007 cr nn 008mamaa
008 190528s2019 sz | s |||| 0|eng d
020 _a9783030170127
_9978-3-030-17012-7
024 7 _a10.1007/978-3-030-17012-7
_2doi
050 4 _aTA357-359
072 7 _aTGMF
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aTGMF
_2thema
082 0 4 _a620.1064
_223
245 1 0 _aHigh-Performance Computing of Big Data for Turbulence and Combustion
_h[electronic resource] /
_cedited by Sergio Pirozzoli, Tapan K. Sengupta.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aIX, 250 p. 170 illus., 71 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x2309-3706 ;
_v592
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 _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 0 _aFluid mechanics.
_92810
650 0 _aBig data.
_94174
650 0 _aEngineering—Data processing.
_931556
650 1 4 _aEngineering Fluid Dynamics.
_940827
650 2 4 _aBig Data.
_94174
650 2 4 _aData Engineering.
_932525
700 1 _aPirozzoli, Sergio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_940828
700 1 _aSengupta, Tapan K.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_940829
710 2 _aSpringerLink (Online service)
_940830
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030170110
776 0 8 _iPrinted edition:
_z9783030170134
776 0 8 _iPrinted edition:
_z9783030170141
830 0 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x2309-3706 ;
_v592
_940831
856 4 0 _uhttps://doi.org/10.1007/978-3-030-17012-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76819
_d76819