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%.
|State||Published - Apr 16 2016|
|Event||54th AIAA Aerospace Sciences Meeting, 2016 - San Diego, United States|
Duration: Jan 4 2016 → Jan 8 2016
|Conference||54th AIAA Aerospace Sciences Meeting, 2016|
|Period||1/4/16 → 1/8/16|
Bibliographical noteFunding 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.
© 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