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arXiv · 2610.36248

DSMC Study of Hypersonic Boundary-Layer Unsteadiness Using Data-Driven Analysis

Mert Senkardesler·Irmak T. Karpuzcu·Deborah A. Levin·Vassilis Theofilis
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Abstract

The prediction of transition remains challenging because the receptivity amplitude is usually prescribed rather than measured. This work uses Direct Simulation Monte Carlo (DSMC) to study an unforced Mach 6 nitrogen boundary layer over a 120 mm flat plate, with no imposed inlet wave, wall signal, modal shape, or disturbance spectrum. The retained unsteady field is the intrinsic finite-particle stochastic fluctuation field carried by the DSMC representation. Changing the DSMC particle count provides an independent numerical control parameter that sets a predictable finite-particle noise floor while preserving the time-averaged boundary-layer flow. Dynamic Mode Decomposition (DMD) is then applied to unforced DSMC snapshots. The DMD eigenvalues and spatial modes estimate the quantities that appear in the LST normal-mode description, including frequency, temporal growth or decay, wavenumber, wavelength, phase speed, mode location, and amplification envelope. LST is used after extraction to test whether the data-derived structures occupy the expected second-mode band. The results show that DSMC data can connect a measured finite-particle stochastic disturbance level to second-mode instability dynamics without imposed disturbance spectra.

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Mert Senkardesler, Irmak T. Karpuzcu, Deborah A. Levin, Vassilis Theofilis. 2026-10-26. DSMC Study of Hypersonic Boundary-Layer Unsteadiness Using Data-Driven Analysis. https://doi.org/10.2514/6.2026-4737

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