Department of Aeronautics & Astronautics
Durand Building, Room 464
Stanford, CA 94305
Ph.D. Candidate, Aeronautics & Astronautics, Stanford University, 2013-present.
M.S., Aeronautics & Astronautics, Stanford University, 2013.
B.S., Aerospace Engineering, University of Kansas, 2011.
- Computational Fluid Dynamics (CFD)
- Multidisciplinary Design, Analysis, & Optimization (MDAO)
- Multi-Information Source Optimization
- Conceptual and Preliminary Aerospace Vehicle Design
- Air-Breathing Orbital Insertion Vehicles
- Uncertainty Quantification
- Optimization under Uncertainty
- Multi-Fidelity Analysis
- Certification through Simulation
- SUAVE - see publication below
Work is currently being conducted looking at combining multiple fidelity level computational codes into an to single architecture to better understand how different code uncertainties can be balanced with their respective costs.
The major application at present in this research is looking at stability and control considerations of aircraft during the conceptual design phase. We are trying to manage the uncertainty inherant in different analysis codes to better estimate control surface sizes and allow additional aircraft capabilities to be incorporated into the initial design. As part of this analysis, we are looking into simulation different flight trajectories with stochastic aerodynamic databases to get a probability an aircraft can successfully complete a certain maneuver.
|| Wendorff, A., Alonso, J. J., and Bieniawski, S., "A Multi-Fidelity Approach to Quantification of Uncertainty in Stability and Control Databases for use in Stochastic Aircraft Simulations," AIAA Aviation Forum 2015, Dallas, TX (submitted).
|| Lukaczyk, T., Wendorff, A., Colonno, M., Economon, T. D., Alonso, J. J., Orra, T., and Ilario da Silve, C. R., "SUAVE: An Open-Source Environment for Multi-Fidelity Conceptual Vehicle Design," AIAA Aviation Forum 2015, Dallas, TX (submitted).