Scaling in Supersonic Turbulence: Energy Spectra and Fluxes using High-Fidelity Direct Numerical Simulations
Harshit Tiwari, Dhananjay Singh, Mahendra K. Verma, Rajesh Ranjan

TL;DR
This study uses high-resolution DNS to explore how energy spectra and transfer mechanisms in supersonic turbulence change with Mach number, revealing a shift from Kolmogorov to Burgers scaling and the dominance of mode interactions.
Contribution
The paper provides detailed insights into energy transfer processes and spectral scaling laws in high Mach number turbulence using advanced numerical simulations.
Findings
Energy spectra steepen from $k^{-5/3}$ to $k^{-2}$ as Mach number increases.
Cross-scale transfer from solenoidal to compressive modes dominates the inertial range.
Pressure dilatation significantly influences energy transfer in supersonic turbulence.
Abstract
Supersonic turbulence is vital to astrophysical and high-speed engineering flows, yet its energy transfer mechanisms remain poorly understood. We present high-resolution () direct numerical simulations (DNS) of forced compressible turbulence across a range of turbulent Mach numbers ( to ). Using the GPU-accelerated solver \texttt{DHARA} with a seventh-order, low-dissipation Targeted Essentially Non-Oscillatory (TENO) scheme, we resolve both fine-scale eddies and sharp shock fronts. Our results reveal a fundamental shift in the energy cascade in the supersonic regime. As increases, the rotational kinetic energy spectrum steepens from a Kolmogorov-like scaling toward a Burgers-like scaling. Conversely, the compressive energy spectrum becomes shallower, deviating from Burgers scaling. We show that these spectral modifications are driven by…
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