Computational study of lateral jet interaction in hypersonic thermochemical non-equilibrium flows using nonlinear coupled constitutive relations
The present study reports the numerical analyses of lateral jet interaction around a Terminal
High Altitude Area Defense-type (THAAD-type) model in hypersonic rarefied flows, with the …
High Altitude Area Defense-type (THAAD-type) model in hypersonic rarefied flows, with the …
Least-square finite difference-based physics-informed neural network for steady incompressible flows
In this work, a least-square finite difference-based physics-informed neural network (LSFD-
PINN) is proposed to simulate steady incompressible flows. The original PINN employs the …
PINN) is proposed to simulate steady incompressible flows. The original PINN employs the …
Bounce and contact mode regimes for drop impact on smooth surfaces: The influence of gas kinetics and electrostatics
H Liu, J Zhang - Physics of Fluids, 2024 - pubs.aip.org
When liquid drops impact on solid surfaces, an air layer forms in between the drop and the
surface, acting as a cushion to mitigate the impact. In this work, we focus on delineating the …
surface, acting as a cushion to mitigate the impact. In this work, we focus on delineating the …
Development of convolutional neural network-based surrogate model for three-dimensional vacuum plume prediction via direct simulation Monte Carlo method
The vacuum plume phenomenon encountered during lunar exploration missions poses
significant challenges, such as impingement forces, heat fluxes, and spacecraft …
significant challenges, such as impingement forces, heat fluxes, and spacecraft …
Continuous and discontinuous compressible flows in a converging–diverging channel solved by physics-informed neural networks without exogenous data
Physics-informed neural networks (PINNs) are employed to solve the classical compressible
flow problem in a converging–diverging nozzle. This problem represents a typical example …
flow problem in a converging–diverging nozzle. This problem represents a typical example …
Numerical analysis of a gas flow in a square cavity driven by spanwise lid motion on the basis of kinetic theory: Behavior of the gas near a sharp corner
M Hattori - Physics of Fluids, 2024 - pubs.aip.org
A gas flow in a square cavity driven by a lid sliding in the direction of its line of contact with
the cavity wall is considered. The steady behavior of the gas is numerically investigated …
the cavity wall is considered. The steady behavior of the gas is numerically investigated …
Heat Flux Prediction of Radiation Balance Wall by Deep Convolutional Neural Networks
G Dai, W Zhao, S Yao, WS Li, W Chen - Journal of Thermophysics and …, 2024 - arc.aiaa.org
Aerodynamic thermal prediction plays a crucial role in the design of a hypersonic vehicle,
particularly with regard to the thermal protection system. Traditional methods of aerodynamic …
particularly with regard to the thermal protection system. Traditional methods of aerodynamic …
Neural network representation of microflows with BGK model
P Zhang, Y Wang - arXiv preprint arXiv:2410.21935, 2024 - arxiv.org
We consider the neural representation to solve the Boltzmann-BGK equation, especially
focusing on the application in microscopic flow problems. A new dimension reduction model …
focusing on the application in microscopic flow problems. A new dimension reduction model …