Volume 49 Issue 9
Oct.  2023
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FAN Z W,YU X Q,DAI Y L. Trade-off for top-level requirements of commercial aircraft using comprehensive evaluation and optimization[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(9):2415-2422 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0670
Citation: FAN Z W,YU X Q,DAI Y L. Trade-off for top-level requirements of commercial aircraft using comprehensive evaluation and optimization[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(9):2415-2422 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0670

Trade-off for top-level requirements of commercial aircraft using comprehensive evaluation and optimization

doi: 10.13700/j.bh.1001-5965.2021.0670
Funds:  National Natural Science Foundation of China (12032011); Special Scientific Research Project for Civil Aircraft of the Ministry of Industry and Information
More Information
  • Corresponding author: E-mail:yxq@nuaa.edu.cn
  • Received Date: 05 Nov 2021
  • Accepted Date: 05 Jan 2022
  • Publish Date: 25 Jan 2022
  • As the key process of aircraft design, top-level requirements should be carefully considered at the beginning of design activities. A quantitative trade-off method for top-level requirements of commercial aircraft has been proposed. According to the relationship between top-level requirements and aircraft conceptual design, characteristics of aircraft concept can be regarded as a set of feasible top-level requirements. The trade-off of top-level requirements is transformed to the optimization of design parameters. With the consideration of five criteria, including economy, comfort, environmental protection, flexibility, and safety/reliability, a comprehensive evaluation model for top-level requirements of commercial aircraft is established. The optimal set of top-level requirements can be found by the optimization for the best result of the comprehensive evaluation model. In the case of wide-body commercial aircraft, more reasonable top-level requirements are obtained, which reveals the feasibility of the comprehensive evaluation and optimization method.

     

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