A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids

Autor: Jiun-Shyan Chen, Michael J. Roth, Jesse A. Sherburn, Haoyan Wei, Eliot Fang, Michael R. Tupek, Tsung-Hui Huang, Joseph E. Bishop
Rok vydání: 2019
Předmět:
Zdroj: Computational Particle Mechanics. 7:329-350
ISSN: 2196-4386
2196-4378
Popis: A stable and nodally integrated meshfree formulation for modeling shock waves in fluids is developed. The reproducing kernel approximation is employed to discretize the conservation equations for compressible flow, and a flux vector splitting approach is applied to allow proper numerical treatments for the advection and pressure parts, respectively, based on the characteristics of each flux term. To capture the essential shock physics in fluids, including the Rankine–Hugoniot jump conditions and the entropy condition, local Riemann enrichment is introduced under the stabilized conforming nodal integration (SCNI) framework. Meanwhile, numerical instabilities associated with the advection flux are eliminated by adopting a modified upwind scheme. To further enhance accuracy, a MUSCL-type method is introduced in conjunction with an oscillation limiter to avoid Gibbs phenomenon and ensure monotonic piecewise linear reconstruction in the smooth region. The present meshfree formulation is free from tunable artificial parameters and is capable of capturing shock and rarefaction waves without over/undershoots. Several numerical examples are analyzed to demonstrate the effectiveness of the proposed MUSCL-SCNI approach in meshfree modeling of complex shock phenomena, including shock diffraction, shock–vortex interaction, and high energy explosion processes.
Databáze: OpenAIRE
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