Tarek Echekki


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  • Engineering Building III (EB3) 3252
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At the graduate level, Dr.Echekki has taught Fluid Dynamics of Combustion I (MAE 504) and the follow up advanced combustion course, Fluid Dynamics of Combustion II (MAE 704). He also has taught the graduate Fluid Dynamics course, Foundations of Fluid Dynamics (MAE 550) and an introduction to Turbulence, Turbulence (MAE 776).

At the undergraduate level, he has taught Engineering Thermodynamics I and II (MAE 201 and MAE 302) and fluid Mechanics I (MAE 308). All of these classes are foundational. Drawing on personal experiences, he discusses new applications in combustion in the second thermodynamics course to give the students a greater appreciation of the challenges in the field and to encourage further reading.

Combustion plays an important role in the solution of many of the engineering problems that we face today. Graduate students who work with Dr. Echekki are also drawn to this area because of its breadth. The reliance of combustion on thermodynamics, heat transfer, and fluid mechanics means that the subject is never boring and provides a foundation from which the student can later branch out.

Outside of work, Dr. Echekki spends time with his family and friends.


Ph.D. 1993

Mechanical Engineering

Stanford University

M.S. 1987

Mechanical Engineering

Stanford University

B.S. 1985

Mechanical Engineering

Washington University, St. Louis

Research Description

Dr. Echekki primary interests are in the modeling and simulation of turbulent combustion with emphasis on models that overcome the challenges of closure related to turbulence-chemistry interactions. At present, Dr. Echekki is pursuing the development of multi-scale models for turbulent combustion, the development of data-based closure strategies, including experimental data. Multi-scale models involve the hybrid coupling of coarse solution schemes, such as large-eddy simulation (LES), to fine-grained low-dimensional simulations embedded in the coarse solution to capture unresolved physics. Examples of such hybrid approaches include the LES-ODT approach, which couples LES to 1D solutions for multi-component transport and chemistry based on the one-dimensional turbulence (ODT) model. Data-based models exploit the growing availability of high-fidelity simulations and experiments to construct turbulent combustion closure models.

Honors and Awards

  • Associate Fellow, American Institute of Aeronautics and Astronautics, 2012


An ANN based hybrid chemistry framework for complex fuels
Ranade, R., Alqahtani, S., Farooq, A., & Echekki, T. (2019), FUEL, 241, 625–636. https://doi.org/10.1016/j.fuel.2018.12.082
An extended hybrid chemistry framework for complex hydrocarbon fuels
Ranade, R., Alqahtani, S., Farooq, A., & Echekki, T. (2019), FUEL, 251, 276–284. https://doi.org/10.1016/j.fuel.2019.04.053
Large eddy simulation of non-premixed pulverized coal combustion in corner-fired furnace for various excess air ratios
Sun, W., Zhong, W., & Echekki, T. (2019, October), APPLIED MATHEMATICAL MODELLING. https://doi.org/10.1016/j.apm.2019.05.017
Large eddy simulation of the interactions between gas and particles in a turbulent corner-injected flow
Sun, W., Zhong, W., & Echekki, T. (2019), ADVANCED POWDER TECHNOLOGY, 30(10), 2139–2149. https://doi.org/10.1016/j.apt.2019.06.029
A coupled LES-ODT model for spatially-developing turbulent reacting shear layers
Hoffie, A. F., & Echekki, T. (2018), INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 127, 458–473. https://doi.org/10.1016/j.ijheatmasstransfer.2018.06.105
Upscaling and downscaling approaches in les-odt for turbulent combustion flows
Fu, Y. Q., & Echekki, T. (2018), International Journal for Multiscale Computational Engineering, 16(1), 45–76. https://doi.org/10.1615/intjmultcompeng.2018021350
An equivalent dissipation rate model for capturing history effects in non-premixed flames
Kundu, P., Echekki, T., Pei, Y. J., & Som, S. (2017), Combustion and Flame, 176, 202–212. https://doi.org/10.1016/j.combustflame.2016.10.001
Particle-filter based upscaling for turbulent reacting flow simulations
Srivastava, S., & Echekki, T. (2017), International Journal for Multiscale Computational Engineering, 15(1), 1–17. https://doi.org/10.1615/intjmultcompeng.2017017084
Thermal radiation modeling using the LES-ODT framework for turbulent combustion flows
Ben Rejeb, S., & Echekki, T. (2017), International Journal of Heat and Mass Transfer, 104, 1300–1316. https://doi.org/10.1016/j.ijheatmasstransfer.2016.09.074
Toward computationally efficient combustion DNS with complex fuels via principal component transport
Owoyele, O., & Echekki, T. (2017), Combustion Theory and Modelling, 21(4), 770–798. https://doi.org/10.1080/13647830.2017.1296976

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