Surrogate-Based Low-Boom Low-Drag Nose Design for the JAXA S4 Supersonic Airliner

Abstract

Robust low-boom low-drag design methods were developed within a trilateral collaboration between JAXA, ONERA and DLR on the en-route noise of supersonic civil aircraft. In this paper the nose of the JAXA S4.134 supersonic low-boom airliner is optimized using a surrogate-based optimization method. The optimization process includes near-field Euler simulations with the DLR TAU code and a propagation algorithm developed at ONERA based on the TRAPS code. The maximum level of perceived loudness for different off-track angles as well as the drag coefficient are used as objective functions for a multi-objective optimization. A reduction of the off-track noise by 2 dB PL as well as a small drag reduction can be achieved by the nose optimization. The impact on the pitching moment is analyzed.