TY - JOUR
T1 - Characterization of oscillatory instability in lid driven cavity flows using lattice Boltzmann method
AU - Anupindi, Kameswararao
AU - Lai, Weichen
AU - Frankel, Steven
N1 - Funding Information:
KA is partially supported by National Institute of Health (NIH) Grant HL098353 and the same is acknowledged. The computational resources provided by Information Technology at Purdue University, West Lafayette, Indiana are greatly acknowledged. We would also like to thank Dr. Emmanuel Leriche, Université Jean-Monnet, France for providing us the data from the DNS database to make the comparisons. Further, the authors would like to acknowledge the comments and suggestions by the reviewers that improved the quality of the present paper.
PY - 2014/3/20
Y1 - 2014/3/20
N2 - In the present work, lattice Boltzmann method (LBM) is applied for simulating flow in a three-dimensional lid driven cubic and deep cavities. The developed code is first validated by simulating flow in a cubic lid driven cavity at 1000 and 12,000 Reynolds numbers following which we study the effect of cavity depth on the steady-oscillatory transition Reynolds number in cavities with depth aspect ratio equal to 1, 2 and 3. Turbulence modeling is performed through large eddy simulation (LES) using the classical Smagorinsky sub-grid scale model to arrive at an optimum mesh size for all the simulations. The simulation results indicate that the first Hopf bifurcation Reynolds number correlates negatively with the cavity depth which is consistent with the observations from two-dimensional deep cavity flow data available in the literature. Cubic cavity displays a steady flow field up to a Reynolds number of 2100, a delayed anti-symmetry breaking oscillatory field at a Reynolds number of 2300, which further gets restored to a symmetry preserving oscillatory flow field at 2350. Deep cavities on the other hand only attain an anti-symmetry breaking flow field from a steady flow field upon increase of the Reynolds number in the range explored. As the present work involved performing a set of time-dependent calculations for several Reynolds numbers and cavity depths, the parallel performance of the code is evaluated a priori by running the code on up to 4096 cores. The computational time required for these runs shows a close to linear speed up over a wide range of processor counts depending on the problem size, which establishes the feasibility of performing a thorough search process such as the one presently undertaken.
AB - In the present work, lattice Boltzmann method (LBM) is applied for simulating flow in a three-dimensional lid driven cubic and deep cavities. The developed code is first validated by simulating flow in a cubic lid driven cavity at 1000 and 12,000 Reynolds numbers following which we study the effect of cavity depth on the steady-oscillatory transition Reynolds number in cavities with depth aspect ratio equal to 1, 2 and 3. Turbulence modeling is performed through large eddy simulation (LES) using the classical Smagorinsky sub-grid scale model to arrive at an optimum mesh size for all the simulations. The simulation results indicate that the first Hopf bifurcation Reynolds number correlates negatively with the cavity depth which is consistent with the observations from two-dimensional deep cavity flow data available in the literature. Cubic cavity displays a steady flow field up to a Reynolds number of 2100, a delayed anti-symmetry breaking oscillatory field at a Reynolds number of 2300, which further gets restored to a symmetry preserving oscillatory flow field at 2350. Deep cavities on the other hand only attain an anti-symmetry breaking flow field from a steady flow field upon increase of the Reynolds number in the range explored. As the present work involved performing a set of time-dependent calculations for several Reynolds numbers and cavity depths, the parallel performance of the code is evaluated a priori by running the code on up to 4096 cores. The computational time required for these runs shows a close to linear speed up over a wide range of processor counts depending on the problem size, which establishes the feasibility of performing a thorough search process such as the one presently undertaken.
KW - High Reynolds number flows
KW - Large eddy simulation (LES)
KW - Lattice Boltzmann method (LBM)
KW - Lid driven cavity flows
KW - Parallel computations
KW - Single relaxation time (SRT)
UR - http://www.scopus.com/inward/record.url?scp=84892141860&partnerID=8YFLogxK
U2 - 10.1016/j.compfluid.2013.12.015
DO - 10.1016/j.compfluid.2013.12.015
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AN - SCOPUS:84892141860
SN - 0045-7930
VL - 92
SP - 7
EP - 21
JO - Computers and Fluids
JF - Computers and Fluids
ER -