The accurate parameter prediction of a flow field is of practical significance to promote the
development of hypersonic flight. Velocity field prediction using deep learning is a promising …

The interaction between the self-excited shock train flow and the cavity shear layer in a
scramjet isolator is investigated numerically using detached-eddy simulations. The effect of …

Experiments were conducted to characterize shock train oscillation under the simultaneous
variation of the incoming Mach number and backpressure. Under steady and low-frequency …

The impinging shock of varying strengths on the free shear layer in a confined supersonic
cavity flow is studied numerically using the detached eddy simulation. The resulting …

For a better understanding of the shock train structure and its dynamic oscillation features,
wind tunnel experiments with linear and stepwise increase backpressure were conducted …

High-speed air intakes often exhibit intricate flow patterns, with a specific type of flow
instability known as 'buzz', characterized by unsteady shock oscillations at the inlet. This …

Herein, a curved isolator with sidewall contraction of a hypersonic scramjet is extracted and
simplified. The flow characteristics in the isolator with an entrance Mach number of 3.46 are …

There are fewer reports on the impinging shock/boundary layer interaction in the high Mach
number and high-temperature flow than that in the supersonic flow. High-temperature flow …

The pursuit of high-resolution flow fields is meaningful for the development of hypersonic
technology. Flow field super-resolution (SR) based on deep learning is a novel and effective …

In this study, the unstart/restart process of a hypersonic inlet caused by the angle of attack
(AOA) is experimentally performed at a Mach number of 5.0, and the unsteady flow …