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Abstract
The Richtmyer–Meshkov instability (RMI) occurs when a shock wave passes through an interface between fluids of different densities, a phenomenon prevalent in a variety of scenarios including supersonic combustion, supernovae, and inertial confinement fusion. In the most advanced current numerical modeling of RMI, a multitude of secondary physical phenomena are typically neglected that may crucially change in silico predictions. In this study, we investigate the effects of shear-thinning behavior of a fluid on the RMI at negative Atwood numbers via numerical simulations. A parametric study is carried out over a wide range of Atwood and Mach numbers that probes the flow dynamics following the impact on the interface of the initial shock wave and subsequent, reflected shocks. We demonstrate agreement between our numerical results and analytical predictions, which are valid during the early stages of the flow, and examine the effect of the system parameters on the vorticity distribution near the interface. We also carry out an analysis of the rate of vorticity production and dissipation budget which pinpoints the physical mechanisms leading to instability due to the initial and reflected shocks. Our findings indicate that the shear-thinning effects have a significant impact on instability growth and the development of secondary instabilities, which manifest themselves through the formation of Kelvin–Helmholtz waves. Specifically, we demonstrate that these effects influence vorticity generation and damping, which, in turn, affect the RMI growth. These insights have important implications for a range of applications, including inertial confinement fusion and bubble collapse within non-Newtonian materials.
Original language | English |
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Article number | 066104 |
Number of pages | 16 |
Journal | Physics of Fluids |
Volume | 36 |
Issue number | 6 |
DOIs | |
Publication status | Published - 4 Jun 2024 |
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Dive into the research topics of 'Richtmyer–Meshkov instability at high Mach number: Non-Newtonian effects'. Together they form a unique fingerprint.Projects
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PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems
Grover, L. (Co-Investigator), Simmons, M. (Principal Investigator) & Vigolo, D. (Co-Investigator)
Engineering & Physical Science Research Council
1/10/19 → 30/03/25
Project: Research Councils