Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Editor
- Heinz Pitsch(RWTH Aachen University, Institute for Combustion Technology)Antonio Attili(RWTH Aachen University, Institute for Combustion Technology)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-030-44718-2
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Book Chapters
The following chapters of this book are listed in IDEAS- Shrey Trivedi & Girish V. Nivarti & R. Stewart Cant, 2020. "Analysis of Flame Topology and Burning Rates," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 1-17, Springer.
- Dominik Denker & Antonio Attili & Heinz Pitsch, 2020. "Dissipation Element Analysis of Inert and Reacting Turbulent Flows," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 19-41, Springer.
- 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 & T. Grenga, 2020. "Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identif," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 43-64, Springer.
- 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 & T. Grenga, 2020. "Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identif," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 65-88, Springer.
- Chun Sang Yoo & Tianfeng Lu & Jacqueline H. Chen, 2020. "Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 89-108, Springer.
- Hemanth Kolla & Konduri Aditya & Jacqueline H. Chen, 2020. "Higher Order Tensors for DNS Data Analysis and Compression," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 109-134, Springer.
- Nicholas Arnold-Medabalimi & Cheng Huang & Karthik Duraisamy, 2020. "Data-Driven Modal Decomposition Techniques for High-Dimensional Flow Fields," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 135-155, Springer.
- T. Grenga & M. E. Mueller, 2020. "Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 157-176, Springer.
- Luca Magri & Nguyen Anh Khoa Doan, 2020. "Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 177-196, Springer.
- Jan Schilliger & Nils Keller & Severin Hänggi & Thivaharan Albin & Christopher Onder, 2020. "Data-Based Modeling for the Crank Angle Resolved CI Combustion Process," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 197-213, Springer.
- P. Domingo & Z. Nikolaou & A. Seltz & L. Vervisch, 2020. "From Discrete and Iterative Deconvolution Operators to Machine Learning for Premixed Turbulent Combustion Modeling," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 215-232, Springer.
- Giuseppe D’Alessio & Antonio Attili & Alberto Cuoci & Heinz Pitsch & Alessandro Parente, 2020. "Analysis of Turbulent Reacting Jets via Principal Component Analysis," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 233-251, Springer.
- M. Schöpplein & J. Weatheritt & M. Talei & M. Klein & R. D. Sandberg, 2020. "Application of an Evolutionary Algorithm to LES Modelling of Turbulent Premixed Flames," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 253-271, Springer.
- Shashank Yellapantula & Marc T. Henry de Frahan & Ryan King & Marc Day & Ray Grout, 2020. "Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation," Springer Books, in: Heinz Pitsch & Antonio Attili (ed.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion, chapter 0, pages 273-292, Springer.
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