A5053166224- Electrohydrodynamics and Fluid Dynamics
- Ultrasound and Cavitation Phenomena
- Microfluidic and Bio-sensing Technologies
- Aerodynamics and Acoustics in Jet Flows
- Computational Fluid Dynamics and Aerodynamics
- Acoustic Wave Phenomena Research
- Combustion and Detonation Processes
- Innovative Microfluidic and Catalytic Techniques Innovation
- Coastal and Marine Dynamics
- Advanced materials and composites
- Metallurgical Processes and Thermodynamics
- Fluid Dynamics and Turbulent Flows
- Materials Engineering and Processing
- Earthquake and Tsunami Effects
- Tropical and Extratropical Cyclones Research
- Gas Dynamics and Kinetic Theory
China Aerodynamics Research and Development Center
2024
The energy transport in aero-acoustics is investigated the Lagrangian frame. First, based on finite-time Lyapunov exponent (FTLE) and momentum potential theory, a approach proposed to identify barriers of acoustic energy. Specifically, method, named relative flux gradient (RFG), presented detail. Then, verify it applied analytical fields, showing that could reveal wavefronts depending time interval computation. Moreover, RFG analyze simulated flow field an open cavity flow, results are...
In this paper, a kinetic Boltzmann model equation with internal degrees of freedom is established for thermodynamic non-equilibrium multi-component polyatomic gas mixture by using continuous energy levels to deal rotational and vibrational energy. The normalization conservativeness the are analyzed proved. Then, numerical algorithm wall boundary conditions solving given. normal shock-wave structure flow problem pressure/temperature gradient driven micro-channel two-component used verify...
The flow characteristics of dam-break wave in the initial stage downstream wet bed are studied experimentally by digital image measurement technologies. First, fine wavefront structure and its velocity were captured optical method, an technology water level based on edge detection was proposed. Then, comparison verification carried out using numerical simulation. mean error is −7.369%, −1.243%, 1.317% under depth ratio (σ) 0.2, 0.25, 0.33, most cases within ±15% except σ = 0.2. results show...