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   College of Science CAMP Home People └ Alumni ├ J. Lindeman, PhD ├ J. Bakosi, PhD ├ E. Novakovskaia, PhD ├ N. Ahmad, PhD ├ J. C. Chang, PhD └ F. Camelli, PhD Research Simulation gallery Publications Resources for students Data archive Annual conference Computing resources Related links About our webpage Contact us |
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Nash'at Ahmad, PhDYear of graduation: 2004 Degree: Doctor of Philosophy, Computational Sciences and Informatics Research field: Meso-, and micro-scale modeling, computational fluid dynamics, unstructured mesh generation. Thesis title: Navier-Stokes Solver on Unstructured Mesh Thesis abstract: A Godunov-type high-resolution scheme based on unstructured meshes for solving the Euler and Navier-Stokes equations governing atmospheric flows is described. The Riemann problem in the Godunov's method is solved using the Harten-Lax-van Leer-Contact (HLLC) approximate Riemann solver. Higher-order spatial accuracy is achieved by gradient reconstruction techniques after van Leer. The total variation diminishing (TVD) condition is enforced with the help of slope limiters. An explicit multi-stage Runge-Kutta time-marching scheme is used to achieve higher-order accuracy in time. The subgrid scale diffusion is based on Smagorinsky's method. The scheme is validated against benchmark cases in one-dimension and idealized test cases in two dimensions. The scheme shows promise in simulating nonhydrostatic atmospheric flows on the meso, micro and urban scale, characterized by steep gradients. Current employment: NASA Langley Research Center See the CAMP
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