A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids
Abstract
Here, 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. Finally, 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.
- Authors:
-
- University of California, San Diego, La Jolla, CA (United States)
- U.S. Army Engineer Research and Development Center, Vicksburg, MS (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1526226
- Report Number(s):
- SAND-2019-5754J
Journal ID: ISSN 2196-4378; 675750
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Computational Particle Mechanics
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 2; Journal ID: ISSN 2196-4378
- Publisher:
- Springer Nature
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; Shock modeling; Compressible flow; RKPM; Riemann-SCNI; MUSCL-SCNI; Oscillation limiter
Citation Formats
Huang, Tsung-Hui, Chen, Jiun-Shyan, Wei, Haoyan, Roth, Michael J., Sherburn, Jesse A., Bishop, Joseph E., Tupek, Michael R., and Fang, Eliot H. A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids. United States: N. p., 2019.
Web. doi:10.1007/s40571-019-00248-x.
Huang, Tsung-Hui, Chen, Jiun-Shyan, Wei, Haoyan, Roth, Michael J., Sherburn, Jesse A., Bishop, Joseph E., Tupek, Michael R., & Fang, Eliot H. A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids. United States. https://doi.org/10.1007/s40571-019-00248-x
Huang, Tsung-Hui, Chen, Jiun-Shyan, Wei, Haoyan, Roth, Michael J., Sherburn, Jesse A., Bishop, Joseph E., Tupek, Michael R., and Fang, Eliot H. Fri .
"A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids". United States. https://doi.org/10.1007/s40571-019-00248-x. https://www.osti.gov/servlets/purl/1526226.
@article{osti_1526226,
title = {A MUSCL-SCNI approach for meshfree modeling of shock waves in fluids},
author = {Huang, Tsung-Hui and Chen, Jiun-Shyan and Wei, Haoyan and Roth, Michael J. and Sherburn, Jesse A. and Bishop, Joseph E. and Tupek, Michael R. and Fang, Eliot H.},
abstractNote = {Here, 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. Finally, 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.},
doi = {10.1007/s40571-019-00248-x},
journal = {Computational Particle Mechanics},
number = 2,
volume = 7,
place = {United States},
year = {2019},
month = {5}
}
Web of Science
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Works referencing / citing this record:
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