Sensitivity analysis and multi-objective robust design optimization of compact aero-engine nacelles Article Swipe
Guocheng Tao
,
Yang Liu
,
Zhouteng Ye
,
Chengwei Fan
,
Yanzhao Gong
,
Yan Yan
,
Jiahuan Cui
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/19942060.2025.2493071
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/19942060.2025.2493071
Future civil aero-engines are expected to feature larger bypass ratios and fan diameters to reduce specific thrust and improve propulsive efficiency, thereby lowering specific fuel consumption. These new configurations introduce design challenges, as the traditional scaling will result in the increase of nacelle drag, weight and the integration effects of aircraft. For this reason, compact nacelles are preferred for integration with next-generation civil turbofan engines. Moreover, designing and optimizing compact aero-engine nacelles is particularly challenging due to the non-linear nature of transonic aerodynamics and the diverse operating conditions experienced across the flight envelope. This work first establishes a mapping relationship between geometric parameters and the nacelle drag coefficient through surrogate models across various operating conditions. Then, sensitivity analyses are performed by applying the Sobol sequence sampling method and variance-based sensitivity analysis within the design bounds. To investigate the impact of compactness on the uncertainty of the drag coefficient, compact nacelles with various length-to-highlight radius ratios are examined. The Sobol-based sensitivity analysis reveals that the ratio [Formula: see text] dominates the first-order effects, with its total-effect Sobol index remaining above 85% across all configurations. The optimized design shows significantly smaller absolute changes compared to the baseline, particularly in the nacelle cruise drag coefficient [Formula: see text] at mid-cruise condition, with the variation reduced from 0.0017 to 0.0004, indicating that the optimized nacelle design is more geometric robust and less sensitive to parameter variations. The novelty of this work lies in applying Sobol-based sensitivity analysis to quantify geometric parameter impacts on nacelle drag under uncertainty during cruise conditions. The qualitative and quantitative analysis results will provide valuable insights for determining the design space in the early stages of the design process and developing a robust design optimization framework for three-dimensional compact nacelles.
Related Topics
Concepts
Sensitivity (control systems)
Nacelle
Aero engine
Computer science
Multidisciplinary design optimization
Robustness (evolution)
Aerospace engineering
Automotive engineering
Engineering
Mechanical engineering
Turbine
Electronic engineering
Gene
Sociology
Multidisciplinary approach
Social science
Biochemistry
Chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/19942060.2025.2493071
- OA Status
- gold
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409867386
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409867386Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/19942060.2025.2493071Digital Object Identifier
- Title
-
Sensitivity analysis and multi-objective robust design optimization of compact aero-engine nacellesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-28Full publication date if available
- Authors
-
Guocheng Tao, Yang Liu, Zhouteng Ye, Chengwei Fan, Yanzhao Gong, Yan Yan, Jiahuan CuiList of authors in order
- Landing page
-
https://doi.org/10.1080/19942060.2025.2493071Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1080/19942060.2025.2493071Direct OA link when available
- Concepts
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Sensitivity (control systems), Nacelle, Aero engine, Computer science, Multidisciplinary design optimization, Robustness (evolution), Aerospace engineering, Automotive engineering, Engineering, Mechanical engineering, Turbine, Electronic engineering, Gene, Sociology, Multidisciplinary approach, Social science, Biochemistry, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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