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Seongim Choi
Department of Aeronautics & Astronautics
Durand Building
Stanford, CA 94305
Building 215, Room 211
Moffet field, NASA Ames Research Center
CA 94035
650-604-2349
Background
Career highlights:
- Visiting Researcher, U.S.Army AeroFlight Dynamics Directorate, NASA Ames Research Center, 2007-present.
- Research Associate, Department of Aeronautics & Astronautics, Stanford University, 2006-present.
- Ph.D., Departement of Aeronautics & Astronautics, Stanford University, 2006.
- M.S., Aerospace Engineering, Seoul National University, 1999.
- B.S., Aerospace Engineering, Seoul National University, 1998.
You can find a more detailed version of my CV here.
Research Interests
- Advanced numerical analysis using CFD.
- Aircraft shape optimization (low-boom supersonic jets and helicopter rotors).
- Adjoint-based sensitiviy analysis & optimization.
- Frequency-based CFD analysis of periodic unsteady flows (Time-Spectral algorithm for URANS solver)
- Multi-fidelity and multi-level design optimization.
- Genetic Algorim (GA) based optimization using response surface method.
- Solution-adaptive unstructured mesh refinement.
- Geometry kernels with parametric CAD model and robust surface definition.
Publications
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Choi, S., Alonso, J. J., Kroo, I. M., and Wintzer, M., "Multifidelity Design Optimization of Low-Boom Supersonic Jets," AIAA Journal, vol. 45, no. 1, pp. 106-118, January-February 2008, 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Aug. 30–Sep. 1 2004, Albany, NY, (awarded for Best Paper.). |
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Choi, S., Alonso, J. J., and Kroo, I. M., "Two-Level Multi-Fideliy Design Optimization Studies for Supersonic Jets," Journal of Aircraft, (accepted and will be published in 2009), AIAA Paper 2005-0531, 43rd AIAA Aerospace Sciences Meeting & Exhibition, Jan. 10-13 2005, Reno, NV.. |
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Choi, S., Alonso, J. J., and van der Weide, E., "Numerical Mesh Resolution Requirements for Accurate Sonic Boom Prediction of Complete Aircraft Configurations," Journal of Aircraft (accepted and will be published in 2009), AIAA Paper 2004-1060, 42nd AIAA Aerospace Sciences Meeting & Exhibit, Jan. 5-8, 2004, Reno,
NV, Invited to Royal Aerodynamical Society Aerodynamics Conference for AIAA/RAes Best Paper Swap.
Sep. 14-16, London, (awarded one of the Best Papers in Aerodynamics) |
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Choi, S. and Datta, A., "CFD Prediction of Rotor Loads Using Time-Spectral Method and Exact Fluid-Structure Interface"," Journal of American Helicopter Society, (submitted in Oct. 2008 and under review), AIAA Paper 2008-7325, 26th AIAA Applied Aerodynamics Conference, Aug. 2008, Honolulu, Hawaii. |
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Choi, S., Potsdam, M., Lee, K., Iaccarino, G., and Alonso, J. J., "Helicopter Rotor Design Using a Time-Spectral and Adjoint-Based Method," AIAA Paper 2008-5810, AIAA Paper 2008-5810, 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Victoria, British Columbia, September, 2008. |
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Choi, S., Datta, A., and Alonso, J. J., "Time-Spectral Method for CFD Prediction of Helicopter Rotor Vibratory Loads," 7th ICCFD, Jul. 2008, Seoul, Korea. |
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Choi, S., Lee, K., and Alonso, J. J., "Preliminary Study on Time-Spectral and Adjoint-Based Design Optimizaton of Helicopter Rotors," AHS Specialist's Conference on Aeromechanics, Jan. 2008, San Francisco. |
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Choi, S., and Alonso, J. J., "Validation Study of Aerodynamic of Aerodynamic Analysis Tools for Design Design Optimization of Helicopter Rotors," AIAA Paper 2007-3929, 25th Applied Aerodynamics Conference, Jun. 2007, Miami, FL. |
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Choi, S., and, Alonso, J. J., "Multi-Fidelity Design of Supersonic Jets Using Surrogate Management Framework Method," AIAA Paper 2005-5077, 24th Applied Aerodynamics Conference, Jun. 6-9, 2005, Toronto, Canada. |
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Choi, S. and Alonso, J. J., "Design of a Low-Boom Supersonic Business Jet Using Evolutionary Algorithms and an Adaptive
Unstructured Mesh Method," AIAA Paper 2004-1758, 45th AIAA/ASME/ASCE/AHS/ASC Structures,Structural Dynamics and Materials Conference, April 19-22, 2004, Palm Springs, CA. |
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Choi, S., Chung, H. S., and Alonso, J. J., "Supersonic Business Jet Design Using Knowledge-Based Genetic Algorithm with Adaptive, Un-
structured Grid Methodology," AIAA Paper 2003-3791, 21st AIAA Applied Aerodynamics Conference, Jun. 23-26, 2003, Orlando, FL. |
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