Turbulence simulation using a numerical gradient adaptive k-ω model

Zhiyong Li; Huaibao Zhang; Jesse B. Hoagg; Sean C.C. Bailey; Alexandre Martin

Turbulence simulation using a numerical gradient adaptive k-ω model

Zhiyong Li, Huaibao Zhang, Jesse B. Hoagg, Sean C.C. Bailey, Alexandre Martin

Mechanical and Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

A new adaptive k-ω model is presented for rapid simulation of turbulent flow, where partial-but-not-complete flow-field information is available. The model relies on known flow-field velocities, which are measured at discrete sampling locations, to adapt the RANS k-ω closure coefcients, and thus, improve the numerical results. The closure coefficients are automatically adjusted using a numerical gradient adaptation method. This method improves the numerical solution by reducing the difference between measurement velocities and their numerically computed counterparts. In a series of test cases, the adaptive k-ω model improves agreement with the measurement points in comparison to simulations conducted using baseline closure coefficients. The technique is demonstrated using a pipe flow, where the maximum error is reduced from 5: 3% to 0: 92%, and on a backward facing step, where the maximum error is reduced from 3: 39% to 1: 23%.

Original language	English
State	Published - Apr 16 2016
Event	54th AIAA Aerospace Sciences Meeting, 2016 - San Diego, United States Duration: Jan 4 2016 → Jan 8 2016

Conference

Conference	54th AIAA Aerospace Sciences Meeting, 2016
Country/Territory	United States
City	San Diego
Period	1/4/16 → 1/8/16

Bibliographical note

Funding Information:
Financial support for this work was provided by the Kentucky Science and Engineering Research and Development Excellence program through grant number KSEF-3396-RDE-018. Additional support was provided by NASA Kentucky EPSCoR Award NNX10AV39A.

Publisher Copyright:
© 2014 by Zhiyong Li, Huaibao Zhang, Jesse B. Hoagg, Sean C.C. Bailey and Alexandre Martin. Published by the American Institute of Aeronautics and Astronautics, Inc. with permission.

ASJC Scopus subject areas

Aerospace Engineering

Cite this

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title = "Turbulence simulation using a numerical gradient adaptive k-ω model",

abstract = "A new adaptive k-ω model is presented for rapid simulation of turbulent flow, where partial-but-not-complete flow-field information is available. The model relies on known flow-field velocities, which are measured at discrete sampling locations, to adapt the RANS k-ω closure coefcients, and thus, improve the numerical results. The closure coefficients are automatically adjusted using a numerical gradient adaptation method. This method improves the numerical solution by reducing the difference between measurement velocities and their numerically computed counterparts. In a series of test cases, the adaptive k-ω model improves agreement with the measurement points in comparison to simulations conducted using baseline closure coefficients. The technique is demonstrated using a pipe flow, where the maximum error is reduced from 5: 3% to 0: 92%, and on a backward facing step, where the maximum error is reduced from 3: 39% to 1: 23%.",

author = "Zhiyong Li and Huaibao Zhang and Hoagg, {Jesse B.} and Bailey, {Sean C.C.} and Alexandre Martin",

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year = "2016",

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T1 - Turbulence simulation using a numerical gradient adaptive k-ω model

AU - Li, Zhiyong

AU - Zhang, Huaibao

AU - Hoagg, Jesse B.

AU - Bailey, Sean C.C.

AU - Martin, Alexandre

N1 - Funding Information: Financial support for this work was provided by the Kentucky Science and Engineering Research and Development Excellence program through grant number KSEF-3396-RDE-018. Additional support was provided by NASA Kentucky EPSCoR Award NNX10AV39A. Publisher Copyright: © 2014 by Zhiyong Li, Huaibao Zhang, Jesse B. Hoagg, Sean C.C. Bailey and Alexandre Martin. Published by the American Institute of Aeronautics and Astronautics, Inc. with permission.

PY - 2016/4/16

Y1 - 2016/4/16

N2 - A new adaptive k-ω model is presented for rapid simulation of turbulent flow, where partial-but-not-complete flow-field information is available. The model relies on known flow-field velocities, which are measured at discrete sampling locations, to adapt the RANS k-ω closure coefcients, and thus, improve the numerical results. The closure coefficients are automatically adjusted using a numerical gradient adaptation method. This method improves the numerical solution by reducing the difference between measurement velocities and their numerically computed counterparts. In a series of test cases, the adaptive k-ω model improves agreement with the measurement points in comparison to simulations conducted using baseline closure coefficients. The technique is demonstrated using a pipe flow, where the maximum error is reduced from 5: 3% to 0: 92%, and on a backward facing step, where the maximum error is reduced from 3: 39% to 1: 23%.

AB - A new adaptive k-ω model is presented for rapid simulation of turbulent flow, where partial-but-not-complete flow-field information is available. The model relies on known flow-field velocities, which are measured at discrete sampling locations, to adapt the RANS k-ω closure coefcients, and thus, improve the numerical results. The closure coefficients are automatically adjusted using a numerical gradient adaptation method. This method improves the numerical solution by reducing the difference between measurement velocities and their numerically computed counterparts. In a series of test cases, the adaptive k-ω model improves agreement with the measurement points in comparison to simulations conducted using baseline closure coefficients. The technique is demonstrated using a pipe flow, where the maximum error is reduced from 5: 3% to 0: 92%, and on a backward facing step, where the maximum error is reduced from 3: 39% to 1: 23%.

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M3 - Paper

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T2 - 54th AIAA Aerospace Sciences Meeting, 2016

Y2 - 4 January 2016 through 8 January 2016

ER -

Turbulence simulation using a numerical gradient adaptive k-ω model

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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