A front-tracking/ghost-fluid method for the numerical simulations of Richtmyer–Meshkov Instability

We present an increasingly accurate and robust front-tracking (FT) method coupled with the ghost-fluid method (GFM) for the numerical simulations of shock-induced turbulent mixing. The FT-GFM method with the higher-order weighted essentially non-oscillatory (WENO) schemes is used to study the evolution of the complex and moving fluid interfaces in compressible flows. We demonstrate the improvements in the late-time dynamics of the fluid interfaces and the effect of the high-order WENO schemes with monotonicity preserving bounds on several test problems. One-dimensional scalar advection, Sod’s shock tube, shock-entropy wave interaction problems, and two-dimensional shock tube Richtmyer–Meshkov instability (RMI) between air and SF 6 simulations are performed in order to show the improvements achieved using the new method. The fifth- and ninth-order WENO schemes with and without monotonicity preserving bounds are explored in the numerical solution of the shock-driven interface problem. • The front-tracking/ghost-fluid method (FT/GFM) with monotonicity preserving ninth-order weighted essentially non-oscillatory (MPWENO9) scheme improves Richtmyer–Meshkov instability simulations. • RMI simulations presented here show a very good agreement with the single-mode shock tube experiments of Collins and Jacobs 2002 for the incident shock strength M = 1 . 21 . • The spike roll-up structures in experiments are captured with MPWENO9 fine grid FT/GFM simulations.

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Publication Details

Journal
Physica D Nonlinear Phenomena
Published
2025-05-02
DOI
https://doi.org/10.1016/j.physd.2025.134696
Citations
2
Primary Topic
Laser-Plasma Interactions and Diagnostics
Type
article
Field-Weighted Citation Impact
3.74
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article

A front-tracking/ghost-fluid method for the numerical simulations of Richtmyer–Meshkov Instability

Ryan Holley, Tülin Kaman
2 citations
Physica D Nonlinear Phenomena
Laser-Plasma Interactions and Diagnostics
3.74
article

A front-tracking/ghost-fluid method for the numerical simulations of Richtmyer–Meshkov Instability

Ryan Holley, Tülin Kaman
article en
2 citations

Abstract

We present an increasingly accurate and robust front-tracking (FT) method coupled with the ghost-fluid method (GFM) for the numerical simulations of shock-induced turbulent mixing. The FT-GFM method with the higher-order weighted essentially non-oscillatory (WENO) schemes is used to study the evolution of the complex and moving fluid interfaces in compressible flows. We demonstrate the improvements in the late-time dynamics of the fluid interfaces and the effect of the high-order WENO schemes with monotonicity preserving bounds on several test problems. One-dimensional scalar advection, Sod’s shock tube, shock-entropy wave interaction problems, and two-dimensional shock tube Richtmyer–Meshkov instability (RMI) between air and SF 6 simulations are performed in order to show the improvements achieved using the new method. The fifth- and ninth-order WENO schemes with and without monotonicity preserving bounds are explored in the numerical solution of the shock-driven interface problem. • The front-tracking/ghost-fluid method (FT/GFM) with monotonicity preserving ninth-order weighted essentially non-oscillatory (MPWENO9) scheme improves Richtmyer–Meshkov instability simulations. • RMI simulations presented here show a very good agreement with the single-mode shock tube experiments of Collins and Jacobs 2002 for the incident shock strength M = 1 . 21 . • The spike roll-up structures in experiments are captured with MPWENO9 fine grid FT/GFM simulations.

Physica D Nonlinear PhenomenaVol. 477
University of Zurich (CH), Collegium Helveticum (CH), University of Arkansas at Fayetteville (US)
Climate action
Openalex Percentile: Top 8%
Laser-Plasma Interactions and Diagnostics
3.74
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A front-tracking/ghost-fluid method for the numerical simulations of Richtmyer–Meshkov Instability — Ryan Holley, Tülin Kaman · Physica D Nonlinear Phenomena (2025) | TGRS Research Map | TGRS