Data Analysis for Direct Numerical Simulations of Turbulent Combustion

Chapter 1 Analysis of Flame Topology and Burning Rates

Chapter 2 Dissipation Element Analysis of Inert and Reacting Turbulent Flows

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

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

Chapter 6 Higher Order Tensors for DNS Data Analysis and Compression

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

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

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

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

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

Chapter 12 Analysis of Turbulent Reacting Jets via Principal Component Analysis

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

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