Advanced search
Publication Cover
Combustion Theory and Modelling Volume 11, 2007 - Issue 2
Submit an article Journal homepage
206
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

A quantitative method for a priori evaluation of combustion reaction models

James C. Sutherland Department of Chemical & Fuels Engineering, University of Utah, Salt Lake City, UT, 84098, USA
,
Philip J. Smith Department of Chemical & Fuels Engineering, University of Utah, Salt Lake City, UT, 84098, USA
&
Jacqueline H. Chen Combustion Research Facility, Sandia National Laboratories, Livermore, CA, 94551, USA
Pages 287-303 | Received 12 May 2006, Accepted 18 Jul 2006, Published online: 21 Dec 2010

Citations (16)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Elizabeth Armstrong & James C. Sutherland. (2021) A technique for characterising feature size and quality of manifolds. Combustion Theory and Modelling 25:4, pages 646-668.
Read now

Articles from other publishers (15)

Kamila Zdybał, Giuseppe D’Alessio, Antonio Attili, Axel Coussement, James C. Sutherland & Alessandro Parente. (2023) Local manifold learning and its link to domain-based physics knowledge. Applications in Energy and Combustion Science 14, pages 100131.
Crossref
Erica Quadarella, Arthur Péquin, Alessandro Stagni, Alessandro Parente, Tiziano Faravelli & Hong G. Im. (2023) A generalized partially stirred reactor model for turbulent closure. Proceedings of the Combustion Institute 39:4, pages 5329-5338.
Crossref
Kamila Zdybał, James C. Sutherland & Alessandro Parente. (2023) Manifold-informed state vector subset for reduced-order modeling. Proceedings of the Combustion Institute 39:4, pages 5145-5154.
Crossref
K. Zdybał, M. R. Malik, A. Coussement, J. C. Sutherland & A. Parente. 2023. Machine Learning and Its Application to Reacting Flows. Machine Learning and Its Application to Reacting Flows 245 278 .
Arthur Péquin, Salvatore Iavarone, Riccardo Malpica Galassi & Alessandro Parente. (2022) The partially stirred reactor model for combustion closure in large eddy simulations: Physical principles, sub-models for the cell reacting fraction, and open challenges. Physics of Fluids 34:5.
Crossref
Tianwei Yang, Yu Yin, Hua Zhou & Zhuyin Ren. (2021) Review of Lagrangian stochastic models for turbulent combustion. Acta Mechanica Sinica 37:10, pages 1467-1488.
Crossref
Amir Biglari & James C. Sutherland. (2015) An a-posteriori evaluation of principal component analysis-based models for turbulent combustion simulations. Combustion and Flame 162:10, pages 4025-4035.
Crossref
P. Trisjono & H. Pitsch. (2015) Systematic Analysis Strategies for the Development of Combustion Models from DNS: A Review. Flow, Turbulence and Combustion 95:2-3, pages 231-259.
Crossref
Yee Chee See & Matthias Ihme. (2015) Large eddy simulation of a partially-premixed gas turbine model combustor. Proceedings of the Combustion Institute 35:2, pages 1225-1234.
Crossref
ZhuYin Ren, Zhen Lu, LingYun Hou & LiuYan Lu. (2014) Numerical simulation of turbulent combustion: Scientific challenges. Science China Physics, Mechanics & Astronomy 57:8, pages 1495-1503.
Crossref
Amir Biglari & James C. Sutherland. (2012) A filter-independent model identification technique for turbulent combustion modeling. Combustion and Flame 159:5, pages 1960-1970.
Crossref
David O. Lignell, Jacqueline H. Chen & Hans A. Schmutz. (2011) Effects of Damköhler number on flame extinction and reignition in turbulent non-premixed flames using DNS. Combustion and Flame 158:5, pages 949-963.
Crossref
J C Oefelein, J H Chen & R Sankaran. (2009) High-fidelity simulations for clean and efficient combustion of alternative fuels. Journal of Physics: Conference Series 180, pages 012033.
Crossref
A. Parente, J.C. Sutherland, L. Tognotti & P.J. Smith. (2009) Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute 32:1, pages 1579-1586.
Crossref
James C. Sutherland & Alessandro Parente. (2009) Combustion modeling using principal component analysis. Proceedings of the Combustion Institute 32:1, pages 1563-1570.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.