Dr. Xiao Wang and her team of computational engineers at CAVS have conducted research on both traditional CFD simulations, such as aircraft, turbomachinery, and marine propeller, and novel CFD applications of biosystem, including flows of human lung airway and aortic coarctation. Research highlights include:
Blast Loadings in Urban Environment
Detailed blast propagation and evolution through multiple structures representing an urban environment were simulated using Loci/BLAST. Both wave reflection and interaction between structures and blast loadings on structures were captured with good agreement against experiment.
Blast wave propagation and diffraction
Blade leading-edge flow separation resolved by TSM modeling
Simulations of a marine propeller are performed using a transition-sensitive turbulence model (TSM) to better resolve the propeller flow characteristics. Computational results compared with water-tunnel and open-water experimental data showed that the applied transition-sensitive turbulence model is better able to resolve blade-surface stress, flow separations, and tip-vortex originations. Consequently, this will improve the prediction accuracy in propeller performance, especially under high-load conditions.
Simulation and Analysis of Quad Tiltrotor Aircraft
Aerodynamic and vibratory loads of Quad Tiltrotor are investigated in support of conceptual vehicle design of the U.S. Army Joint Heavy Lift rotorcraft program.
Pressure contour of quad tiltrotor in airplane mode
Airway wall pressure during exhalation
Biological System Simulations
Human lung simulations adopted an efficient physiology-based modeling of large-scale lung airways on reduced geometry, using resistive airway model and truncated boundary treatment. A patient-specific non-uniform pressure outlet boundary condition was developed in unsteady simulations of cyclic breathing to investigate airway flow patterns of both healthy and diseased lungs, specifically with emphysema or interstitial fibrosis.
Simulation of blood analog flow through a patient-specific aortic coarctation revealed a slower flow region near the wall downstream the coarctation, which helps to explain that bacteria are more likely to be trapped to the aorta wall in this area, especially under stress condition, such as exercise.