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; T. Grenga

doi:10.1007/978-3-030-44718-2_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
, T. Grenga

Sapienza University
Sandia National Laboratories, New Mexico
University of Notre Dame
King Abdullah University of Science and Technology
University of the Highlands and Islands
Université Libre de Bruxelles
RWTH Aachen University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

20 Scopus citations

Abstract

This chapter provides a review of the basic ideas at the core of the Computational Singular Perturbation (CSP) method and the Tangential Stretching Rate (TSR) analysis. It includes a coherent summary of the theoretical foundations of these two methodologies while emphasizing theirmutual interconnections. The main theoretical findings are presented in a systematic fashion. Their virtues and limitations will be discussed with reference to auto-ignition systems, laminar and turbulent premixed flames, and non-premixed jet flames. The material presented in the chapter constitutes an effective guideline for further studies.

Original language	British English
Title of host publication	Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Subtitle of host publication	From Equation-Based Analysis to Machine Learning
Pages	43-64
Number of pages	22
ISBN (Electronic)	9783030447182
DOIs	https://doi.org/10.1007/978-3-030-44718-2_3
State	Published - 1 Jan 2020

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Valorani, M., Creta, F., Ciottoli, P. P., Malpica Galassi, R., Goussis, D. A., Najm, H. N., Paolucci, S., Im, H. G., Tingas, E. A., Manias, D. M., Parente, A., Li, Z., & Grenga, T. (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 identification. Part 1, basic concepts. In Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (pp. 43-64) https://doi.org/10.1007/978-3-030-44718-2_3

Valorani, M. ; Creta, F. ; Ciottoli, P. P. 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. Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. 2020. pp. 43-64

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abstract = "This chapter provides a review of the basic ideas at the core of the Computational Singular Perturbation (CSP) method and the Tangential Stretching Rate (TSR) analysis. It includes a coherent summary of the theoretical foundations of these two methodologies while emphasizing theirmutual interconnections. The main theoretical findings are presented in a systematic fashion. Their virtues and limitations will be discussed with reference to auto-ignition systems, laminar and turbulent premixed flames, and non-premixed jet flames. The material presented in the chapter constitutes an effective guideline for further studies.",

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Valorani, M, Creta, F, Ciottoli, PP, Malpica Galassi, R, Goussis, DA, Najm, HN, Paolucci, S, Im, HG, Tingas, EA, Manias, DM, Parente, A, Li, Z & Grenga, T 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 identification. Part 1, basic concepts. in Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. pp. 43-64. https://doi.org/10.1007/978-3-030-44718-2_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. / Valorani, M.; Creta, F.; Ciottoli, P. P. et al.
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. 2020. p. 43-64.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Valorani M, Creta F, Ciottoli PP, Malpica Galassi R, Goussis DA, Najm HN 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. In Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. 2020. p. 43-64 doi: 10.1007/978-3-030-44718-2_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

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