Probabilistic Optimization of Continuous-Morphing Airfoil Geometries via Gaussian Process Surrogates and QAOA-Based Discrete Sampling
Ansh Pathak - 2025 - Pending
Continuously morphing airfoils reshape during flight to match changing aerodynamic conditions, enabling performance that fixed geometry designs fundamentally cannot achieve. We present a four-phase pipeline combining Gaussian Process surrogate modeling with QAOA as a diversity-oriented sampler for morphing airfoil optimization, validated against XFOIL with improved drag and lift over a NACA 2412 baseline.
- 9.3% - Drag reduction vs NACA 2412
- 37% - Lift improvement
- QAOA - Discrete sampling at p=2