A5038190073- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Aerodynamics and Acoustics in Jet Flows
- Computational Fluid Dynamics and Aerodynamics
- Plant Water Relations and Carbon Dynamics
- Plasma and Flow Control in Aerodynamics
- Wind and Air Flow Studies
- Aerodynamics and Fluid Dynamics Research
- Advanced Numerical Methods in Computational Mathematics
- Thermal Analysis in Power Transmission
- Electromagnetic Simulation and Numerical Methods
- Computational Physics and Python Applications
- Numerical methods in engineering
- Advanced Numerical Analysis Techniques
- Heat Transfer Mechanisms
- Plasma Diagnostics and Applications
- Vibration and Dynamic Analysis
- Solar and Space Plasma Dynamics
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
- Nuclear Engineering Thermal-Hydraulics
University of Central Arkansas
2018-2023
Conway School of Landscape Design
2018-2023
The University of Texas at Arlington
2015-2018
Turbulence is not completely random, but contains organized and multi-scale structures. Vortices have always been recognized as the most important coherent structure in turbulent flow, playing a significant role generation, evolution, maintenance of turbulence. In present work, vortex formation evolution process fully developed boundary layer rectangular channel flow experimentally studied by moving-single frame long exposure moving-particle image velocimetry measurements. The Rortex...
Since the discovery of vortex structures in turbulence, research area visualisation methods has been interest. The prevalent Galilean invariant methods, like Q, Lambda2, and Omega are based on local pointwise analysis invariants velocity gradient tensor. When plotting iso-surfaces, different will introduce thresholds for purpose. Varying can greatly change appearance results interpretation be significantly same flow phenomenon. Using our direct numerical simulation data late stage laminar...
Flow transition from laminar to turbulent flow is widely considered as caused by linear unstable modes through absolute or convective instability. However, our DNS study shows that not the case. In previous AIAA paper, nature of described an inherent property fluid cannot tolerate shear layer and must transfer rotation when Reynolds number large, which will lead transition. current study, two inflow disturbances, 2D T-S waves 2D+3D waves, are tested separately carefully compared. The...
To investigate the mechanism of vortex motion, a pitched synthetic jet is arranged on bottom cross flow and simulated by incompressible Naiver–Stokes equations with large eddy simulation. The Liutex vector identification method utilized to quantitatively study rotation strength core size structures according various driving frequencies (St = 0.25, 0.5, 0.75, 1.0) amplitudes (A0 1.0, 1.5, 2.0, 2.5) during 21 periods. results show that both frequency amplitude play significant role in...
Although plentiful research on Λ-vortex can be found in literature, the mechanism of Λvortex generation is still veil. Despite difference initial perturbation conditions both experiments and numerical simulations, following was to basically same, which leads an assumption that inherent characteristic boundary layer equations. On other hand, disturbance or T-S wave believed function as trigger should not viewed embryonic form Λ-vortex. The notion comes from growth according primary secondary...
For many problems in Physics and Computational Fluid Dynamics (CFD), providing an accurate approximation of derivatives is a challenging task. This paper presents class high order numerical schemes for approximating the first derivative. These approximations are derived based on solving special system equations with some unknown coefficients. The construction method provides numerous types different orders accuracy. accuracy each scheme analyzed by using Fourier analysis, which illustrates...
The grid generation is very crucial for the accuracy of numerical solution PDEs, especially problems with rapid variations or sharp layers, such as shock waves, wing leading and trailing edges, regions separation, boundary layers. adaptive an iterative approach to accommodate these complex structures. In this paper, we introduce a deformation based method, in which differentiable invertible transformation from computational domain physical constructed that cell volume (Jacobian determinant)...