Overview
- Includes state-of-the-art descriptions of high-precision techniques for the numerical simulation of turbulence and combustion phenomena
- Provides practical information on handling big data in fluid dynamics and combustion
- Presents the latest advances in high-performance computing techniques
Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 592)
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Table of contents(5 chapters)
About this book
Editors and Affiliations
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Department of Mechanical and Aerospace Engineering, ‘Sapienza’ University of Rome, Roma, Italy
Sergio Pirozzoli
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Department of Aerospace Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Tapan K. Sengupta
About the editors
Sergio Pirozzoli is professor of Fluid Dynamics at Sapienza University of Rome, Italy. His research interests focus on the numerical simulation of incompressible and compressible turbulent flows, having carried out the first DNS of shock/boundary layer interactions in 2004. His expertise includes the development of energy-conserving discretizations for the compressible Navier-Stokes equations. He has been involved as leader of research units in several research projects funded by the European Union focusing of the understanding of unsteady effects in turbulent and transitional SBLI.
Tapan K. Sengupta is head of the High Performance Computing Laboratory at IIT Kanpur, India. His research interests focus on developing high accuracy computing methods to aid in bridging the gap between theoretical and computational fluid dynamics and heat transfer. He has published over 100 papers in international refereed journals covering diversetopics such as transition and turbulence, unsteady aerodynamics, flow control, CFD and numerical methods, mixed convection and compressible flows.
Bibliographic Information
Book Title: High-Performance Computing of Big Data for Turbulence and Combustion
Editors: Sergio Pirozzoli, Tapan K. Sengupta
Series Title: CISM International Centre for Mechanical Sciences
DOI: https://doi.org/10.1007/978-3-030-17012-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: CISM International Centre for Mechanical Sciences 2019
Hardcover ISBN: 978-3-030-17011-0Published: 11 June 2019
Softcover ISBN: 978-3-030-17014-1Published: 14 August 2020
eBook ISBN: 978-3-030-17012-7Published: 28 May 2019
Series ISSN: 0254-1971
Series E-ISSN: 2309-3706
Edition Number: 1
Number of Pages: IX, 250
Number of Illustrations: 99 b/w illustrations, 71 illustrations in colour
Topics: Engineering Fluid Dynamics, Big Data, Data Engineering