Toward High Performance Computing of Compressible Flows using Lattice Boltzmann Method

Speaker: Robert Tramel and Gabriel Nastac, Kord Technologies
August 23, 2018

Presentation

Abstract

As computer architecture becomes more parallel, numerical simulations must follow suit and exploit parallel algorithms effectively. One particular type of parallel algorithm that has become increasingly popular for simulating fluid dynamics in recent decades is the Lattice Boltzmann Method (LBM). The Boltzmann equation and Low-Mach LBM are briefly described. LBM extensions to transonic and supersonic compressible flows for ideal gases are discussed. Preliminary results for 2D flows are presented. Upcoming work involves investigating accuracy and speed of the method with respect to existing NASA solvers including NASA OVERFLOW and NASA FUN3D on canonical problems. Future work involves model improvement and incorporation into a Cartesian AMR solver.

Biographies

Robert Tramel is currently serving as the chief scientist for Kord Technologies. He has extensive experience in the development and modification of a variety of commercial as well as government software programs. Tramel has been active in the use of CFD tools as part of Integrated Testing and Evaluation programs in support of a variety of NASA/DOD/MDA programs. These programs help solve real world problems such as dropping ordnance more accurately and safely out of bomb bays, returning the Space Shuttle to flight after the Columbia accident, improving acoustics of multiple weapons platforms and the analysis and verification of the liquid oxygen feed line and loading system for NASA’S Space Launch System. He has worked on expanding the capabilities of the OVERFLOW2 CFD code in the area of higher order accurate solutions of aeroacoustics and aero-optics problems and stable and accurate shock capturing schemes for high speed flow.

Gabriel Nastac is an aerospace engineer in the CFD Group at Kord Technologies. He received his B.S. in Mechanical and Aerospace Engineering from Case Western Reserve University in 2014 and his M.S. in Mechanical Engineering from Stanford University in 2016. As an undergraduate, he participated in combustion research at the Case Computational Combustion Laboratory. For his graduate studies, he worked at the Center for Turbulence Research on high performance computations of turbulent (LES, DNS) and reacting flows.

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