Multi-Objective Aircraft Design Optimization for Low External Noise and Fuel Burn
CHALLENGE - A quantitative analysis of aircraft external noise sources at the conceptual design phase is still a challenge especially for performing trade-off studies between environmental performance and aircraft performance. In this paper we apply the SUAVE framework, an open-source environment, to investigate optimal aircraft configurations and to estimate the conflicting objectives of low noise and aircraft performance.
SOLUTION - Although SUAVE has its built-in optimization capability, in this present work we use an external optimization algorithm, the commercial package modeFRONTIER. The multi-objective optimization is performed in order to have a Pareto Front that presents the trade-off between noise cumulative margin and fuel burn results. The selected algorithm is MOGA II which uses a smart multi-search elitism for robustness and directional crossover for efficient convergence. For the airframe performance evaluation use was made of conventional semi-empirical methods for tube and wing configuration.
BENEFITS - A study of an entire aircraft preliminary design was conducted where both aircraft geometries and mission were optimized for noise and fuel burn objectives. Reductions of up to 9.4 EPNdB on the cumulative noise were achieved with the optimum design for noise reduction together with an improvement on aircraft fuel burn of 336kg relatively to the baseline aircraft.