Data Analysis for Direct Numerical Simulations of Turbulent Combustion

Edited by Heinz Pitsch () and Antonio Attili ()

in Springer Books from Springer

Date: 2020
ISBN: 978-3-030-44718-2
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Chapters in this book:

Ch Chapter 1 Analysis of Flame Topology and Burning Rates

Shrey Trivedi, Girish V. Nivarti and R. Stewart Cant

Ch Chapter 10 Data-Based Modeling for the Crank Angle Resolved CI Combustion Process

Jan Schilliger, Nils Keller, Severin Hänggi, Thivaharan Albin and Christopher Onder

Ch Chapter 11 From Discrete and Iterative Deconvolution Operators to Machine Learning for Premixed Turbulent Combustion Modeling

P. Domingo, Z. Nikolaou, A. Seltz and L. Vervisch

Ch Chapter 12 Analysis of Turbulent Reacting Jets via Principal Component Analysis

Giuseppe D’Alessio, Antonio Attili, Alberto Cuoci, Heinz Pitsch and Alessandro Parente

Ch Chapter 13 Application of an Evolutionary Algorithm to LES Modelling of Turbulent Premixed Flames

M. Schöpplein, J. Weatheritt, M. Talei, M. Klein and R. D. Sandberg

Ch Chapter 14 Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation

Shashank Yellapantula, Marc T. Henry de Frahan, Ryan King, Marc Day and Ray Grout

Ch Chapter 2 Dissipation Element Analysis of Inert and Reacting Turbulent Flows

Dominik Denker, Antonio Attili and Heinz Pitsch

Ch Chapter 3 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

M. Valorani, F. Creta, P. P. Ciottoli, R. Malpica Galassi, D. A. Goussis, H. N. Najm, S. Paolucci, H. G. Im, E.-A. Tingas, D. M. Manias, A. Parente, Z. Li and T. Grenga

Ch Chapter 4 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

M. Valorani, F. Creta, P. P. Ciottoli, R. Malpica Galassi, D. A. Goussis, H. N. Najm, S. Paolucci, H. G. Im, E.-A. Tingas, D. M. Manias, A. Parente, Z. Li and T. Grenga

Ch Chapter 5 Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations

Chun Sang Yoo, Tianfeng Lu and Jacqueline H. Chen

Ch Chapter 6 Higher Order Tensors for DNS Data Analysis and Compression

Hemanth Kolla, Konduri Aditya and Jacqueline H. Chen

Ch Chapter 7 Data-Driven Modal Decomposition Techniques for High-Dimensional Flow Fields

Nicholas Arnold-Medabalimi, Cheng Huang and Karthik Duraisamy

Ch Chapter 8 Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets

T. Grenga and M. E. Mueller

Ch Chapter 9 Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation

Luca Magri and Nguyen Anh Khoa Doan

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DOI: 10.1007/978-3-030-44718-2

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