Machine-learning methods on noisy and sparse data
K Poulinakis, D Drikakis, IW Kokkinakis… - Mathematics, 2023 - mdpi.com
Experimental and computational data and field data obtained from measurements are often
sparse and noisy. Consequently, interpolating unknown functions under these restrictions to …
sparse and noisy. Consequently, interpolating unknown functions under these restrictions to …
High-speed shock–boundary-layer interaction over deformed surfaces
This paper concerns the interaction of an oblique shock wave with a supersonic turbulent
boundary layer over a thin panel surface, leading to shock–boundary layer interaction and …
boundary layer over a thin panel surface, leading to shock–boundary layer interaction and …
[HTML][HTML] Direct numerical simulation of supersonic flow and acoustics over a compression ramp
We present direct numerical simulations of the shock wave boundary layer interaction (SBLI)
at Mach number 2.9 over a 24 ramp. We study both the numerical accuracy and flow …
at Mach number 2.9 over a 24 ramp. We study both the numerical accuracy and flow …
Direct numerical simulation of a supersonic turbulent boundary layer over a compression–decompression corner
J Duan, X Li, X Li, H Liu - Physics of Fluids, 2021 - pubs.aip.org
A direct numerical simulation of the interaction between a shock wave and the supersonic
turbulent boundary layer in a compression–decompression corner with a fixed 24 deflection …
turbulent boundary layer in a compression–decompression corner with a fixed 24 deflection …
Multi-objective RANS aerodynamic optimization of a hypersonic intake ramp at Mach 5
The work describes a systematic optimization strategy for designing hypersonic inlet intakes.
A Reynolds-averaged Navier-Stokes database is mined using genetic algorithms to develop …
A Reynolds-averaged Navier-Stokes database is mined using genetic algorithms to develop …
Generalizability of transformer-based deep learning for multidimensional turbulent flow data
Deep learning has been going through rapid advancement and becoming useful in scientific
computation, with many opportunities to be applied to various fields, including but not limited …
computation, with many opportunities to be applied to various fields, including but not limited …
[HTML][HTML] Wavelet analysis of supersonic shock-boundary-layer interaction
We present a wavelet analysis of supersonic shock-boundary-layer interaction. We have
used direct numerical simulation data for supersonic flow over a compression ramp and …
used direct numerical simulation data for supersonic flow over a compression ramp and …
Aeroelastic Effects in Supersonic Shock-Turbulent Boundary Layer Interaction over Flexible Panels
IW Kokkinakis, D Drikakis, S Michael Spottswood… - AIAA Journal, 2024 - arc.aiaa.org
The dynamic coupling between a Mach 1.94 shock wave/turbulent boundary layer
interaction (SBLI) and a flexible panel is investigated. High-order numerical simulations are …
interaction (SBLI) and a flexible panel is investigated. High-order numerical simulations are …
Aeroacoustic loading of im**ing supersonic boundary-layer interaction on statically deformed surfaces
IW Kokkinakis, D Drikakis, S Michael Spottswood… - AIAA Journal, 2024 - arc.aiaa.org
This paper concerns the interaction of an im**ing shock wave with a supersonic turbulent
boundary layer over several distinct and permanently deformed surfaces, resulting in …
boundary layer over several distinct and permanently deformed surfaces, resulting in …
A deep learning super-resolution model for turbulent image upscaling and its application to shock wave–boundary layer interaction
Upscaling flow features from coarse-grained data is paramount for extensively utilizing
computational physics methods across complex flow, acoustics, and aeroelastic …
computational physics methods across complex flow, acoustics, and aeroelastic …