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Shin K. Kang
Researcher at Texas A&M University
Publications - 6
Citations - 401
Shin K. Kang is an academic researcher from Texas A&M University. The author has contributed to research in topics: Immersed boundary method & Boundary (topology). The author has an hindex of 4, co-authored 6 publications receiving 305 citations.
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A comparative study of direct-forcing immersed boundary-lattice Boltzmann methods for stationary complex boundaries
Shin K. Kang,Yassin A. Hassan +1 more
TL;DR: The strategy is to couple various interface schemes, which were adopted in the previous direct‐forcing immersed boundary methods (IBM), with the split‐forcing LBE, which enables us to directly use the direct‐ forcing concept in the lattice Boltzmann calculation algorithm with a second‐order accuracy without involving the Navier–Stokes equation.
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The effect of lattice models within the lattice Boltzmann method in the simulation of wall-bounded turbulent flows
Shin K. Kang,Yassin A. Hassan +1 more
TL;DR: This study investigated the effect of 3D lattice models (D3Q19 and D3Q27 lattices) on the simulation results of wall-bounded turbulent flows in a circular pipe and in a square duct, and found that the D3 Q27 lattice model could achieve the rotational invariance in terms of long-time-averaged turbulence statistics and generated the results comparable to the DNS data, while the D2Q19 lattices broke the rotations invariance.
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A direct-forcing immersed boundary method for the thermal lattice Boltzmann method
Shin K. Kang,Yassin A. Hassan +1 more
TL;DR: The proposed methods are validated through convective heat transfer problems with not only stationary but also moving boundaries – the natural convection in a square cavity with an eccentrically located cylinder and a cold particle sedimentation in an infinite channel.
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Computational fluid dynamics (CFD) round robin benchmark for a pressurized water reactor (PWR) rod bundle
Shin K. Kang,Yassin A. Hassan +1 more
TL;DR: In this article, the authors examined the capabilities and limitations of steady Reynolds-Averaged Navier-Stokes (RANS) approach for rod bundle problems, based on the round robin benchmark of computational fluid dynamics (CFD) codes against the NESTOR experiment for a 5 × 5 rod bundle with typical split-type mixing vane grids.