Department of Aeronautics & Astronautics
Stanford, CA 94305
Ph.D. Candidate, Dept. of Aeronautics & Astronautics, Stanford University, 2010-present.
M.S., Aeronautics & Astronautics, Stanford University, 2010.
B.S., Aerospace Engineering, University of California Los Angeles, 2008.
Further details can be found in my CV located here.
- High-fidelity computational aerothermodynamics
- Multi-scale analyses of gases in thermochemical nonequilibrium
- Uncertainty quantification & robust design practices for thermal protection systems
- High-mass entry vehicle design
- Multidisciplinary design, analysis and optimization
- Adjoint-based methods
- Environmentally responsible commercial avaition
Current Research Focus
The development of a new high-fidelity computational tool to simulate gases in thermochemical nonequilibrium for use in predicting heat fluxes in entry environments that addresses modeling limitations in current aerothermal solvers, enabling more reliable predictive capabilities for a wide range of flight conditions.
Have pursued a formulation of the governing equations that differs from the drift-diffusion formulation prevalent in existing aerothermal solvers, such as DPLR and US3D, that solves mass, momentum, and energy transport for each chemical constituent. Interaction between chemical species is modeled using principles from kinetic theory and statistical mechanics, utilizing experimentally derived collision integrals and chemical nonequilibrium is modeled using Park's 1990 gas chemistry model.
Current efforts are focused on the development of the numerical methods necessary for robustness in the unstructured solver, while minimizing artifical dissipation wherever possible, and a sensible strategy for relaxing the stiffness of the mass, momentum, and energy source terms introduced by the formulation of the governing equations.
Ongoing work is focused on the formulation of the adjoint equations
for the multi-species problem to enable
goal-oriented mesh adaptation and error
estimation for surface heat-flux predictions.
Long-term research goals include the
introduction of a sub-grid scale molecular
dynamics solver to directly simulate the
molecular interactions in regions of highest
non-equilibrium (determined using the adjoint
solver), leveraging the extensive body of work
in material science and computational
chemistry for interatomic potentials.
||Copeland, S. R., Palacios, F., Alonso, J. J., "Adjoint-Based Goal-Oriented Mesh Adaptation for Nonequilibrium Hypersonic Flows," AIAA Paper 2013-0552, 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Grapevine, Texas, January 7-10, 2013.
|| Palacios, F., Colonno, M. R., Aranake, A. C., Campos, A., Copeland, S. R., Economon, T. D., Lonkar, A. K., Lukaczyk, T. W., Taylor, T. W. R., Alonso, J. J., "Stanford University Unstructured (SU2): An open-source integrated computational environment for multi-physics simulation and design.," AIAA Paper 2013-0287, 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Grapevine, Texas, January 7-10, 2013.
|| Copeland, S. R., Mahzari, M.,
Cozmuta I., Alonso, J., “A Statistics-Based
Material Property Analysis to Support
Ablation Simulation UQ Efforts,” AIAA Paper
2012-1763, 14th AIAA Non-Deterministic Approaches Conference, Honolulu, HI, April, 2012
||Economon, T., Copeland, S., Alonso, J.J., Zeinali, M., Rutherford, D., "Design and Optimization of
Future Aircraft for Assessing the Fuel Burn Trends of Commercial Aviation," AIAA Paper 2011-267,
49th AIAA Aerospace Sciences Meeting, Orlando, Florida, January, 2011.