Data of compressible multi-material flow simulations utilizing an efficient bimaterial Riemann problem solver
Description
The data set is associated with two test cases in the research article: W. Ma, X. Zhao, S. Islam, A. Narkhede, K. Wang, Efficient solution of bimaterial Riemann problems for compressible multi-material flow simulations, Journal of Computational Physics, Volume 493, 2023, 112474. This article significantly accelerates multi-material flow simulations featuring arbitrary complex equations of state (EOS) and strong discontinuity across material interfaces, by developing an efficient bimaterial Riemann problem solver. The first test case is a one-dimensional benchmark problem and the second one is about the nucleation and expansion of a pear-shaped bubble induced by a long-pulse laser. The simulations are performed using the M2C solver, which is a three-dimensional finite volume Navier-Stokes computational fluid dynamics code, utilizing the accelerated bimaterial Riemann solver at material interfaces. Source codes provided in this data set include the M2C solver and a standalone version of the accelerated bimaterial Riemann problem solver. Simulation data provided include fluid pressure, velocity, density, laser radiance and bubble dynamics. The input files to perform the simulations are also provided. Researchers can replicate simulation results and use them as a foundation for exploring a range of related topics, such as laser-induced cavitation, bubble dynamics, and multiphase flow in general.
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Funding
U.S. National Science Foundation
CBET-1751487
Office of Naval Research
N00014-19-1-2102
National Institutes of Health
2R01-DK052985-24A1
United States Department of Transportation
693JK32250007CAAP