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DTSTAMP:20260114T163653Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T153000
DTEND;TZID=Australia/Melbourne:20231212T154500
UID:siggraphasia_SIGGRAPH Asia 2023_sess121_papers_171@linklings.com
SUMMARY:A Parametric Kinetic Solver for Simulating Boundary-Dominated Turb
 ulent Flow Phenomena
DESCRIPTION:Mengyun Liu and Xiaopei Liu (ShanghaiTech University)\n\nBound
 ary layer flow plays a very important role in shaping the entire flow feat
 ure near and behind obstacles inside fluids. Thus, boundary treatment meth
 ods are crucial for a physically consistent fluid simulation, especially w
 hen turbulence occurs at a high Reynolds number, in which accurately handl
 ing thin boundary layer becomes quite challenging. Traditional Navier-Stok
 es solvers usually construct multi-resolution body-fitted meshes to achiev
 e high accuracy, often together with near-wall and sub-grid turbulence mod
 eling. However, this could be time-consuming and computationally intensive
  even with GPU accelerations. An alternative and much faster approach is t
 o switch to a kinetic solver, such as the lattice Boltzmann model, but bou
 ndary treatment has to be done in a cut-cell manner, sacrificing accuracy 
 unless grid resolution is much increased. In this paper, we focus on simul
 ating the boundary-dominated turbulent flow phenomena with an efficient ki
 netic solver. In order to significantly improve the cut-cell-based boundar
 y treatment for higher accuracy without excessively increasing the simulat
 ion resolution, we propose a novel parametric boundary treatment model, in
 cluding a semi-Lagrangian scheme at the wall for non-equilibrium distribut
 ion functions, together with a purely link-based near-wall analytical meso
 scopic model by analogy with the macroscopic wall modeling approach, which
  is yet simple to compute. Such a new method is further extended to handle
  moving boundaries, showing increased accuracy. Comprehensive analyses are
  conducted, with a variety of simulation results that are both qualitative
 ly and quantitatively validated with experiments and real life scenarios, 
 and compared to existing methods, to indicate superiority of our method. W
 e highlight that our method not only provides a more accurate way for boun
 dary treatment, but also a valuable tool to control boundary layer behavio
 rs. This has not been achieved and demonstrated before in computer graphic
 s, which we believe will be very useful in practical engineering.\n\nRegis
 tration Category: Full Access\n\nSession Chair: Christopher Batty (Univers
 ity of Waterloo)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_171&sess=sess121
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