Image-based computational fluid dynamics (CFD) has become a new capability for determining wall stresses of pulsatile flows. However, a computational platform that directly connects image information to pulsatile wall stresses is lacking. Prevailing methods rely on manual crafting of a hodgepodge of multidisciplinary software packages, which is usually laborious and error-prone. We present a new computational platform, to compute wall stresses in image-based pulsatile flows using the volumetric lattice Boltzmann method (VLBM). The novelty includes: (1) a unique image processing to extract flow domain and local wall normality, (2) a seamless connection between image extraction and VLBM, (3) an en-route calculation of strain-rate tensor, and (4) GPU acceleration (not included here). We first generalize the streaming operation in the VLBM and then conduct application studies to demonstrate its reliability and applicability. A benchmark study is for laminar and turbulent pulsatile flows in an image-based pipe (Reynolds number: 10 to 5000). The computed pulsatile velocity and shear stress are in good agreements with Womersley's analytical solutions for laminar pulsatile flows and concurrent laboratory measurements for turbulent pulsatile flows. An application study is to quantify the pulsatile hemodynamics in image-based human vertebral and carotid arteries including velocity vector, pressure, and wall-shear stress. The computed velocity vector fields are in reasonably well agreement with MRA (magnetic resonance angiography) measured ones. This computational platform is good for image-based CFD with medical applications and pore-scale porous media flows in various natural and engineering systems.
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The research is supported by NSF through grant CBET 1803845 and Indiana University Health Value Fund. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant No. ACI-1548562. The corresponding author would like to also acknowledge the IUPUI University Fellowship and IUPUI MEE Graduate Fellowship.
The datasets generated in the current study are available from the corresponding authors upon appropriate request for nonprofit use.
Zhang, Xiaoyu; Gomez-Paz, Joan; Chen, Xi; McDonough, James M.; Islam, Md Mahfuzul; Andreopoulos, Yiannis; Zhu, Luoding; and Yu, Huidan, "Volumetric Lattice Boltzmann Method for Wall Stresses of Image-Based Pulsatile Flows" (2022). Mechanical Engineering Faculty Publications. 82.