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DTSTAMP:20260522T150115Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post260@linklings.com
SUMMARY:Large Scale MPI-Parallelization of LBM and DEM Systems: Accelerati
 ng Research by Using HPC
DESCRIPTION:Bohumir Jelinek, George Mason, John Peters, Daniel Johnson, an
 d Marcus Brumfield (Mississippi State University); Alex Carrillo (US Army 
 Engineer Research and Development Center); and Clay Goodman and Farshid Va
 hedifard (Mississippi State University)\n\nCasting, solidification, and th
 e behavior of dry, saturated, and partially saturated granular media are e
 xamples of interesting and important problems in multiple areas of civil, 
 mechanical, and chemical engineering. For interacting particle-fluid syste
 ms, the Discrete Element Method (DEM) and Lattice-Boltzmann Method (LBM) p
 rovide valuable high-resolution numerical models. Their main issue is high
  computational demand, which can be addressed by use of HPC resources. Thi
 s work demonstrates the use of MPI-parallelized LBM and DEM models to acce
 lerate research in solidification and macroscopic behavior of dry and satu
 rated granular media. Large scale parallel simulations of dendritic growth
 , the calibration-chamber cone penetration test, and a parametric study of
  shear thickening in granular suspension were performed. Use of HPC dramat
 ically reduced the computational time for these studies and provided high-
 resolution representation of physical experiments.\n\nRegistration Categor
 y: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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