Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series

In this study, we conducted a sensitivity analysis to determine the optimal design of a supersonic airfoil. The design includes four independent variables: angle of attack, thickness of the upper surface, and the locations of the upper and lower surfaces' maximum thicknesses. The output is the maximum lift-to-wave drag ratio. First, we used a first-order Taylor approximation to analyze the impact of each design variable on the output. The first three variables have similar effects, while the fourth has less influence. Next, we applied a second-order Taylor approximation to further explore how each variable affects the output and the response function near the optimal design point. The results show that small variations in the design variables lead to minor changes in airfoil performance. We also identified the variable ranges around this point that satisfy the constraints through numerical calculations. Finally, we compared our approach with factorial design, a common sensitivity analysis method, and found that Taylor approximations offer a more detailed theoretical explanation of the results.

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Publication Details

Journal
Journal of Basic & Applied Sciences
Published
2025-03-25
DOI
https://doi.org/10.29169/1927-5129.2025.21.10
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
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article

Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series

Zhenxue Han, Cheng Luo, Owen Luo
Journal of Basic & Applied Sciences
Computational Fluid Dynamics and Aerodynamics
article

Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series

Zhenxue Han, Cheng Luo, Owen Luo
article en

Abstract

In this study, we conducted a sensitivity analysis to determine the optimal design of a supersonic airfoil. The design includes four independent variables: angle of attack, thickness of the upper surface, and the locations of the upper and lower surfaces' maximum thicknesses. The output is the maximum lift-to-wave drag ratio. First, we used a first-order Taylor approximation to analyze the impact of each design variable on the output. The first three variables have similar effects, while the fourth has less influence. Next, we applied a second-order Taylor approximation to further explore how each variable affects the output and the response function near the optimal design point. The results show that small variations in the design variables lead to minor changes in airfoil performance. We also identified the variable ranges around this point that satisfy the constraints through numerical calculations. Finally, we compared our approach with factorial design, a common sensitivity analysis method, and found that Taylor approximations offer a more detailed theoretical explanation of the results.

Journal of Basic & Applied SciencesVol. 21
The University of Texas at Arlington (US), Winston Churchill Foundation (US)
Openalex Percentile: Top 93%
Computational Fluid Dynamics and Aerodynamics
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Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series — Zhenxue Han, Cheng Luo, et al. · Journal of Basic & Applied Sciences (2025) | TGRS Research Map | TGRS