A hybrid stochastic-deconvolution model for particle-laden LES

W. Michalek; J.G.M. Kuerten; R. Liew; J.C.H. Zeegers; B.J. Geurts

doi:10.1063/1.4825692

A hybrid stochastic-deconvolution model for particle-laden LES

W. Michalek, J.G.M. Kuerten, R. Liew, J.C.H. Zeegers, B.J. Geurts

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

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Abstract

We develop a hybrid model for large-eddy simulation of particle-laden turbulent flow, which is a combination of the approximate deconvolution model for the resolved scales and a stochastic model for the sub-grid scales. The stochastic model is based on a priori results of direct numerical simulation of turbulent channel flow. In order to correctly predict the flux of particles towards the walls an extra term should be included in the stochastic model, which corresponds to the term related to the well-mixed condition in Langevin models for particle dispersion in inhomogeneous turbulent flow. The model predictions are compared with results of direct numerical simulation of channel flow at a frictional Reynolds number of 950. The inclusion of the stochastic forcing is shown to yield a better agreement than without the stochastic part of the model.

Original language	English
Title of host publication	11th International Conference of Numerical Analysis and Applied Mathematics 2013
Subtitle of host publication	ICNAAM 2013
Editors	Theodore Simos, George Psihoyios, Ch. Tsitouras
Publisher	American Institute of Physics
Pages	1075-1078
Number of pages	4
ISBN (Print)	978-0-7354-1184-5
DOIs	https://doi.org/10.1063/1.4825692
Publication status	Published - 2013
Event	11th International Conference of Numerical Analysis and Applied Mathematics 2013 - Rodos Palace Hotel, Rhodes, Greece Duration: 21 Sept 2013 → 27 Sept 2013 Conference number: 11 http://history.icnaam.org/icnaam_2013/index.htm

Publication series

Name	AIP Conference Proceedings
Publisher	AIP
Volume	1558
ISSN (Print)	0094-243X

Conference

Conference	11th International Conference of Numerical Analysis and Applied Mathematics 2013
Abbreviated title	ICNAAM 2013
Country/Territory	Greece
City	Rhodes
Period	21/09/13 → 27/09/13
Internet address	http://history.icnaam.org/icnaam_2013/index.htm

Keywords

Particles
Dispersion
Turbulence
Large-eddy simulation

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10.1063/1.4825692

Cite this

Michalek, W., Kuerten, J. G. M., Liew, R., Zeegers, J. C. H., & Geurts, B. J. (2013). A hybrid stochastic-deconvolution model for particle-laden LES. In T. Simos, G. Psihoyios, & C. Tsitouras (Eds.), 11th International Conference of Numerical Analysis and Applied Mathematics 2013: ICNAAM 2013 (pp. 1075-1078). (AIP Conference Proceedings; Vol. 1558). American Institute of Physics. https://doi.org/10.1063/1.4825692

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abstract = "We develop a hybrid model for large-eddy simulation of particle-laden turbulent flow, which is a combination of the approximate deconvolution model for the resolved scales and a stochastic model for the sub-grid scales. The stochastic model is based on a priori results of direct numerical simulation of turbulent channel flow. In order to correctly predict the flux of particles towards the walls an extra term should be included in the stochastic model, which corresponds to the term related to the well-mixed condition in Langevin models for particle dispersion in inhomogeneous turbulent flow. The model predictions are compared with results of direct numerical simulation of channel flow at a frictional Reynolds number of 950. The inclusion of the stochastic forcing is shown to yield a better agreement than without the stochastic part of the model.",

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author = "W. Michalek and J.G.M. Kuerten and R. Liew and J.C.H. Zeegers and B.J. Geurts",

year = "2013",

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booktitle = "11th International Conference of Numerical Analysis and Applied Mathematics 2013",

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Michalek, W, Kuerten, JGM, Liew, R, Zeegers, JCH & Geurts, BJ 2013, A hybrid stochastic-deconvolution model for particle-laden LES. in T Simos, G Psihoyios & C Tsitouras (eds), 11th International Conference of Numerical Analysis and Applied Mathematics 2013: ICNAAM 2013. AIP Conference Proceedings, vol. 1558, American Institute of Physics, pp. 1075-1078, 11th International Conference of Numerical Analysis and Applied Mathematics 2013, Rhodes, Greece, 21/09/13. https://doi.org/10.1063/1.4825692

A hybrid stochastic-deconvolution model for particle-laden LES. / Michalek, W.; Kuerten, J.G.M.; Liew, R. et al.
11th International Conference of Numerical Analysis and Applied Mathematics 2013: ICNAAM 2013. ed. / Theodore Simos; George Psihoyios; Ch. Tsitouras. American Institute of Physics, 2013. p. 1075-1078 (AIP Conference Proceedings; Vol. 1558).

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

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T1 - A hybrid stochastic-deconvolution model for particle-laden LES

AU - Michalek, W.

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N2 - We develop a hybrid model for large-eddy simulation of particle-laden turbulent flow, which is a combination of the approximate deconvolution model for the resolved scales and a stochastic model for the sub-grid scales. The stochastic model is based on a priori results of direct numerical simulation of turbulent channel flow. In order to correctly predict the flux of particles towards the walls an extra term should be included in the stochastic model, which corresponds to the term related to the well-mixed condition in Langevin models for particle dispersion in inhomogeneous turbulent flow. The model predictions are compared with results of direct numerical simulation of channel flow at a frictional Reynolds number of 950. The inclusion of the stochastic forcing is shown to yield a better agreement than without the stochastic part of the model.

AB - We develop a hybrid model for large-eddy simulation of particle-laden turbulent flow, which is a combination of the approximate deconvolution model for the resolved scales and a stochastic model for the sub-grid scales. The stochastic model is based on a priori results of direct numerical simulation of turbulent channel flow. In order to correctly predict the flux of particles towards the walls an extra term should be included in the stochastic model, which corresponds to the term related to the well-mixed condition in Langevin models for particle dispersion in inhomogeneous turbulent flow. The model predictions are compared with results of direct numerical simulation of channel flow at a frictional Reynolds number of 950. The inclusion of the stochastic forcing is shown to yield a better agreement than without the stochastic part of the model.

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KW - Dispersion

KW - Turbulence

KW - Large-eddy simulation

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DO - 10.1063/1.4825692

M3 - Conference contribution

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BT - 11th International Conference of Numerical Analysis and Applied Mathematics 2013

A2 - Simos, Theodore

A2 - Psihoyios, George

A2 - Tsitouras, Ch.

PB - American Institute of Physics

T2 - 11th International Conference of Numerical Analysis and Applied Mathematics 2013

Y2 - 21 September 2013 through 27 September 2013

ER -

A hybrid stochastic-deconvolution model for particle-laden LES

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