Conceptual Design Methodology for Airbreathing Horizontal Takeoff-and-Landing High-Mach Aircraft

The conceptual design of airbreathing horizontal takeoff-and-landing high-Mach (HTOL Hi-Mach) aircraft is challenging due to the lack of promising data in aerodynamics, weight, and propulsion. This study proposes a conceptual design framework and methodology for HTOL Hi-Mach aircraft with a specific configuration, where the aerodynamic and propulsive data used in sizing were predicted by means of a data-driven aerodynamic model and a numerical turbine-based combined-cycle (TBCC) engine model. The aerodynamic model was established by a deep neural network where the training samples were obtained by high-fidelity computational fluid dynamics (CFD) simulations. A numerical TBCC engine model was built using a one-dimensional isentropic flow model to analyze the performance in terms of thrust and thrust-specific fuel consumption. Additionally, the Küchemann parameter [Formula: see text] was introduced in aircraft weight and volume estimation to inherently balance the aerodynamic performance and the large fuel volume required. Eventually, the multidisciplinary-models-integrated conceptual design methodology was fully validated, showing its ability in the conceptual design of airbreathing HTOL Hi-Mach aircraft.

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Publication Details

Journal
Journal of Aircraft
Published
2026-04-13
DOI
https://doi.org/10.2514/1.c038671
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Conceptual Design Methodology for Airbreathing Horizontal Takeoff-and-Landing High-Mach Aircraft

Shuanghou Deng, Xiaojia Zhao
Journal of Aircraft
Computational Fluid Dynamics and Aerodynamics
article

Conceptual Design Methodology for Airbreathing Horizontal Takeoff-and-Landing High-Mach Aircraft

Shuanghou Deng, Xiaojia Zhao
article en

Abstract

The conceptual design of airbreathing horizontal takeoff-and-landing high-Mach (HTOL Hi-Mach) aircraft is challenging due to the lack of promising data in aerodynamics, weight, and propulsion. This study proposes a conceptual design framework and methodology for HTOL Hi-Mach aircraft with a specific configuration, where the aerodynamic and propulsive data used in sizing were predicted by means of a data-driven aerodynamic model and a numerical turbine-based combined-cycle (TBCC) engine model. The aerodynamic model was established by a deep neural network where the training samples were obtained by high-fidelity computational fluid dynamics (CFD) simulations. A numerical TBCC engine model was built using a one-dimensional isentropic flow model to analyze the performance in terms of thrust and thrust-specific fuel consumption. Additionally, the Küchemann parameter [Formula: see text] was introduced in aircraft weight and volume estimation to inherently balance the aerodynamic performance and the large fuel volume required. Eventually, the multidisciplinary-models-integrated conceptual design methodology was fully validated, showing its ability in the conceptual design of airbreathing HTOL Hi-Mach aircraft.

Journal of Aircraft
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 21%
Computational Fluid Dynamics and Aerodynamics
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