High-Performance Computing of Big Data for Turbulence and Combustion

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pirozzoli, Sergio (Editor), Sengupta, Tapan K. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:CISM International Centre for Mechanical Sciences, Courses and Lectures, 592
Subjects:
Fluid mechanics.
Big data.
Engineering > Data processing.
Engineering Fluid Dynamics.
Big Data.
Data Engineering.
Online Access:Full-text access
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Table of 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.

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