Multidisciplinary Design Optimization for the Conceptual Design of Supersonic Civil Aircraft Based on Full-Carpet Sonic Boom/Aerodynamic Characteristics Employing Differential Evolution

Reducing the sonic boom intensity and increasing the cruise lift-to-drag ratio are pivotal technologies for the successful development of supersonic civil aircraft. To address the limitation that sonic boom research primarily focuses on characteristics directly beneath the flight track, a full-carpet sonic boom and aerodynamic characteristics prediction software (AERO-BOOM) was independently developed. This software is based on the Panel Method, Modified Linearized Theory, the Waveform Parameter Method, and the Stevens Perceived Noise Evaluation Method. AERO-BOOM can efficiently assess the lift-to-drag ratio and the full-carpet sonic boom characteristics of supersonic civil aircraft. Building upon this software, a Multidisciplinary Optimization design platform for full-carpet sonic boom and aerodynamic characteristics of supersonic civil aircraft was established, utilizing an in-house hybrid surrogate-aided differential evolution optimization algorithm. For a supersonic civil aircraft, both fuselage optimization and overall aircraft optimization were conducted. The optimization objectives were the lift-to-drag ratio and the full-carpet sonic boom loudness (FBL). The optimization results demonstrate that fuselage optimization (e.g., employing a downward-cambered nose) increased the lift-to-drag ratio by 0.26 and reduced the FBL by 0.62 PLdB. Furthermore, the overall aircraft optimization (involving modifications to the wing planform and increasing the tail sweep angle) yielded a 1.51 increase in the lift-to-drag ratio and a 1.09 PLdB reduction in the FBL.

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Publication Details

Journal
Aerospace
Published
2026-01-15
DOI
https://doi.org/10.3390/aerospace13010096
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
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article

Multidisciplinary Design Optimization for the Conceptual Design of Supersonic Civil Aircraft Based on Full-Carpet Sonic Boom/Aerodynamic Characteristics Employing Differential Evolution

Haixin CHEN, Runze Li, YuYu Duan, Chonweng Wan
Aerospace
Computational Fluid Dynamics and Aerodynamics
article

Multidisciplinary Design Optimization for the Conceptual Design of Supersonic Civil Aircraft Based on Full-Carpet Sonic Boom/Aerodynamic Characteristics Employing Differential Evolution

Haixin CHEN, Runze Li, YuYu Duan, Chonweng Wan
article en

Abstract

Reducing the sonic boom intensity and increasing the cruise lift-to-drag ratio are pivotal technologies for the successful development of supersonic civil aircraft. To address the limitation that sonic boom research primarily focuses on characteristics directly beneath the flight track, a full-carpet sonic boom and aerodynamic characteristics prediction software (AERO-BOOM) was independently developed. This software is based on the Panel Method, Modified Linearized Theory, the Waveform Parameter Method, and the Stevens Perceived Noise Evaluation Method. AERO-BOOM can efficiently assess the lift-to-drag ratio and the full-carpet sonic boom characteristics of supersonic civil aircraft. Building upon this software, a Multidisciplinary Optimization design platform for full-carpet sonic boom and aerodynamic characteristics of supersonic civil aircraft was established, utilizing an in-house hybrid surrogate-aided differential evolution optimization algorithm. For a supersonic civil aircraft, both fuselage optimization and overall aircraft optimization were conducted. The optimization objectives were the lift-to-drag ratio and the full-carpet sonic boom loudness (FBL). The optimization results demonstrate that fuselage optimization (e.g., employing a downward-cambered nose) increased the lift-to-drag ratio by 0.26 and reduced the FBL by 0.62 PLdB. Furthermore, the overall aircraft optimization (involving modifications to the wing planform and increasing the tail sweep angle) yielded a 1.51 increase in the lift-to-drag ratio and a 1.09 PLdB reduction in the FBL.

AerospaceVol. 13(1)
National Tsing Hua University (TW), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Computational Fluid Dynamics and Aerodynamics
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