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This research aims to enhance the aerodynamic efficiency and structural integrity of a blended wing body UAV for low-power missions.

Design and optimization of a blended wing body UAV using AI-driven surrogate modeling and CFD analysis

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This research aims to enhance the aerodynamic efficiency and structural integrity of a blended wing body UAV for low-power missions.
Combined computational fluid dynamics (CFD) for aerodynamic evaluation
Utilized machine learning surrogate modeling with Gaussian Process Regression
Implemented Bayesian optimization for design space exploration
Optimized surface geometries significantly increased lift-to-drag ratio
Prototyped UAV demonstrated longer-duration flights under lower wind conditions
Structural analysis confirmed airframe met safety and performance criteria

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Randomized trial improves flight endurance in UAV, suggesting effective design for energy-limited missions.

Naseem et al. (2026) studied this question.

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