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Title High-performance computing of big data for turbulence and combustion / Sergio Pirozzoli, Tapan K. Sengupta, editors
Published Cham, Switzerland : Springer, [2019]
©2019

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Description 1 online resource (257 pages) : color illustrations
Series CISM International Centre for Mechanical Sciences. Courses and lectures ; volume 592
Courses and lectures ; no. 592
Contents Focusing 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
Summary This 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
Bibliography Includes bibliographical references
Notes Online resource; title from digital title page (viewed on June 18, 2019)
Subject Turbulence.
Jets -- Fluid dynamics.
Combustion.
Big data.
combustion.
TECHNOLOGY & ENGINEERING -- Hydraulics.
Big data
Combustion
Jets -- Fluid dynamics
Turbulence
Form Electronic book
Author Pirozzoli, Sergio, editor
Sengupta, Tapan Kumar, 1955- editor.
ISBN 3030170128
9783030170127