基本信息
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职业迁徙
个人简介
1980-Present: Developing algorithm improvements for a class of implicit finite difference codes, see Notes . Improving the accuracy, convergence and efficiency of the two dimensional implicit approximate factorization code, ARC2D. Some recent contributions were reported on at the U. of Tennessee workshop on Computational Fluid Dynamics, further improvements are currently being developed. Application of algorithm improvements to the three dimensional code ARC3D. Generating a VECTORAL version of the three dimensional code for use on the CRAY XMP and CYBER 205. Performing detailed computations of two dimensional and three dimensional inviscid and viscous flows. The computations are used to assess the accuracy of the codes, they are intended as standards for comparison purposes ( this is the specific purpose of the AGARD WG 07 airfoil computations) and are used to further the understand of fluid physics. In particular, computations of three dimensional bluff bodies are being studied in an attempt to understand the physics of separated flows. Current work also includes support for the large number of users of the ARC2D and ARC3D codes.
1980-Present: Investigation and study of numerical methods in fluid mechanics with emphasis on finite difference methods, implicit schemes, grid generation, multi-grid, relaxation methods and computer vectorization. Development of a wide variety of model problems for analysis of numerical techniques.
Research into basic fluid dynamics using numerical methods. Developing an understanding of flow topology, flow interactions and turbulence through high accurate unsteady flow computations. Investigating the areas of nonlinear theory (chaos), cellular automata, and full simulation.
1992-1996: Developing new iterative methods of the Krylov Subsapce type for use in Computational Fluid Dynamics. Investigating GMRES and BI-CGSTAB iterative solver technology, with application to the Euler and Navier-Stokes equations. Developing new Tensor-Krylov based methods which have been demonstrated to be more efficient than conventional Newton-Krylov techniques.
1988-Present: Developing a fully time accurate high resolution scheme for the Navier-Stokes equations for application to very large eddy simulation of unsteady flows. High resolution schemes up to 6th order in space and fourth order in time to resolve various length scales in unsteady flows. Resulting solutions will be useful in modeling for transition and turbulence at the Reynolds Averages Navier-Stokes level.
Current Interests: Investigation of Information Theory Algorithms, e.g. Neural Nets, GA's, Fuzzy Logic, Pattern Search Methods, etc. as tollboxes for application to large scale computing.
Computational Astrophysics with particular application to planetary formation and detection. Advanced algorithms for Computational Astrophysics and Parallel implementation.
1980-Present: Investigation and study of numerical methods in fluid mechanics with emphasis on finite difference methods, implicit schemes, grid generation, multi-grid, relaxation methods and computer vectorization. Development of a wide variety of model problems for analysis of numerical techniques.
Research into basic fluid dynamics using numerical methods. Developing an understanding of flow topology, flow interactions and turbulence through high accurate unsteady flow computations. Investigating the areas of nonlinear theory (chaos), cellular automata, and full simulation.
1992-1996: Developing new iterative methods of the Krylov Subsapce type for use in Computational Fluid Dynamics. Investigating GMRES and BI-CGSTAB iterative solver technology, with application to the Euler and Navier-Stokes equations. Developing new Tensor-Krylov based methods which have been demonstrated to be more efficient than conventional Newton-Krylov techniques.
1988-Present: Developing a fully time accurate high resolution scheme for the Navier-Stokes equations for application to very large eddy simulation of unsteady flows. High resolution schemes up to 6th order in space and fourth order in time to resolve various length scales in unsteady flows. Resulting solutions will be useful in modeling for transition and turbulence at the Reynolds Averages Navier-Stokes level.
Current Interests: Investigation of Information Theory Algorithms, e.g. Neural Nets, GA's, Fuzzy Logic, Pattern Search Methods, etc. as tollboxes for application to large scale computing.
Computational Astrophysics with particular application to planetary formation and detection. Advanced algorithms for Computational Astrophysics and Parallel implementation.
研究兴趣
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AIAA AVIATION FORUM AND ASCEND 2024 (2024)
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AIAA journal/AIAA journal on discno. 8 (2022): 4789-4806
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AIAA Scitech 2020 Forum (2020)
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作者统计
#Papers: 165
#Citation: 6568
H-Index: 35
G-Index: 77
Sociability: 5
Diversity: 0
Activity: 0
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