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Data Analysis for Direct Numerical Simulations of Turbulent Combustion

From Equation-Based Analysis to Machine Learning

Editors: Pitsch, Heinz, Attili, Antonio (Eds.)

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  • Gathers contributions from authoritative figures in model development, Big Data, and DNS
  • Broadens readers’ understanding of DNS of turbulence and combustion
  • Identifies the main approaches used to analyse large data sets produced by DNS
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  • ISBN 978-3-030-44718-2
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About this book

This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones.

The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.

The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences.

About the authors

Professor Heinz Pitsch received his PhD from the RWTH Aachen University in 1998, where he is now a Full Professor and director of the Institute for Combustion Technology. He has received numerous honours and awards, including an ERC Advanced Grant, and Fellow Awards of the American Physical Society and the International Combustion Institute. He has served on the board of directors of the International Combustion Institute since 2014 and has been the chair of the German section of the Institute since 2017. Professor Pitsch has over 200 ISI-listed, peer-reviewed journal publications to his credit.

Dr. Antonio Attili received his PhD from Sapienza University of Rome in 2009 and he is now Lecturer in Computational Reactive Flows in the School of Engineering at the University of Edinburgh, United Kingdom. Before, he was a Research Scientist at the Institute for Combustion Technology, RWTH Aachen University, and at KAUST, Saudi Arabia. He co-chaired and organized several workshops, including the Combustion-DNS Strategy & Data Analysis Workshop. Dr Attili has received several fellowship, including a European Space Agency and AVIO Groups Graduate Research Fellowship in 2007. He has authored and co-authored over 50 research papers published in journals and conference proceedings.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • Analysis of Flame Topology and Burning Rates

    Pages 1-17

    Trivedi, Shrey (et al.)

  • Dissipation Element Analysis of Inert and Reacting Turbulent Flows

    Pages 19-41

    Denker, Dominik (et al.)

  • Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 1, Basic Concepts

    Pages 43-64

    Valorani, M. (et al.)

  • Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

    Pages 65-88

    Valorani, M. (et al.)

  • Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations

    Pages 89-108

    Yoo, Chun Sang (et al.)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-44718-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-44717-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Book Subtitle
From Equation-Based Analysis to Machine Learning
Editors
  • Heinz Pitsch
  • Antonio Attili
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-44718-2
DOI
10.1007/978-3-030-44718-2
Hardcover ISBN
978-3-030-44717-5
Edition Number
1
Number of Pages
IX, 292
Number of Illustrations
31 b/w illustrations, 136 illustrations in colour
Topics

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