A multi-objective hybrid optimization methodology for minimizing aircraft sonic boom and drag at fixed lift
Conference
Blanchard, AK, Schoppe, J, Reddy, SR et al. (2022). A multi-objective hybrid optimization methodology for minimizing aircraft sonic boom and drag at fixed lift
. 10.2514/6.2022-0098
Blanchard, AK, Schoppe, J, Reddy, SR et al. (2022). A multi-objective hybrid optimization methodology for minimizing aircraft sonic boom and drag at fixed lift
. 10.2514/6.2022-0098
This paper presents a multi-objective hybrid optimization methodology for minimizing aircraft sonic boom and total drag of an aircraft capable of morphing its outer mold line (OML) using small, distributed deformations. The sonic boom and total drag minimization was done while keeping lift fixed. The optimization methodology was applied to the C608 configuration of the X-59 low-boom aircraft. High-fidelity CFD simulations using an in-house Navier–Stokes solver were used to predict lift and drag for various Mach numbers, angles of attack, and OML deformations. The CFD-predicted near-field pressures were then propagated to the ground and the perceived level noise was calculated using NASA’s acoustic rays propagation code sBoom. This cycle was repeated for the 54 random combinations of eight design variables (flight Mach number, angle of attack, axial location and height of each of the three bumps/dents). A Multi-Objective Hybrid Optimizer (MOHO) developed at Florida International University was used together with eight-dimensional radial basis function-based response surfaces to obtain a Pareto set of the best trade-off combinations of the eight design variables.
