|Title||Multimission Aircraft Fuel Burn Minimization via Multipoint Aerostructural Optimization|
|Publication Type||Journal Articles|
|Authors||Liem, RP, Kenway, GKW, Martins, JRRA|
In this paper we present a new robust approach for minimizing the fuel burn of aircraft configurations using numerical optimization. Our focus is on performing
a multi-point aerostructural optimization that considers the performance at multiple flight conditions simultaneously and is representative of all the missions
flown by a given aircraft model. The goal is to avoid severe performance degradation at off-design conditions and missions, which typically occurs when performing single-point optimization. Specifically, we aim to design a fuel-efficient long-range aircraft configuration. The robustness is introduced by considering hundreds of missions within the operational flight envelope of similarly-sized aircraft, based on historical data of actual flight operations. Due to the large computational cost associated with the high-fidelity multidisciplinary analysis, kriging surrogate models are employed to allow thousands of detailed flight analyses to be performed while limiting the number of high-fidelity evaluations. The methodology is demonstrated in a fuel burn minimization problem of a long-range wide-body aircraft configuration. A single-point optimization is performed for comparison purposes. The results demonstrate the effectiveness of the proposed multi-point optimization procedure. The multi-point optimized design consistently reduces the fuel burn acrossthe flight conditions, whereas the fuel burn reduction observed in the single-point optimization case is localized. Consequently, we see a more significant fuel burn reduction in the multi-point optimization case, as compared to the single-point one.