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The rationality of the layout design of an aircraft structure directly determines whether it can turn into a high-performance structural platform in the future. Due to the lack of effective approach, the trial-and-error method is often adopted in practical engineering, which is labor-intensive and difficult to obtain optimal design. In this paper, a novel layout optimization method of wing stringers based on engineering analytical model is investigated, and an engineering model for rapid calculation of internal force and load carrying capacity of stiffness plate is established. A high-performance gradient optimization algorithm, MMA (Method of Moving Asymptotes), is introduced to solve the layout optimization problem, and the optimization software is developed with SABRE as the basic platform. When compared with HyperSize, the correctness of the algorithm in this paper is proved by using classical examples. The layout optimization of an engineering wing demonstrates the efficiency, reliability and engineering practicability of the method researched in this paper.

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Research on the Method of Layout Optimization About Wing Stringers Based on the Analytical Engineering Model

  • 会议论文

  • 发表日期：

    2026年

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  • Luo Lilong,
  • Tang Chen,
  • Zhu Jiawen,
  • Zhong Mingzhe

摘要

The rationality of the layout design of an aircraft structure directly determines whether it can turn into a high-performance structural platform in the future. Due to the lack of effective approach, the trial-and-error method is often adopted in practical engineering, which is labor-intensive and difficult to obtain optimal design. In this paper, a novel layout optimization method of wing stringers based on engineering analytical model is investigated, and an engineering model for rapid calculation of internal force and load carrying capacity of stiffness plate is established. A high-performance gradient optimization algorithm, MMA (Method of Moving Asymptotes), is introduced to solve the layout optimization problem, and the optimization software is developed with SABRE as the basic platform. When compared with HyperSize, the correctness of the algorithm in this paper is proved by using classical examples. The layout optimization of an engineering wing demonstrates the efficiency, reliability and engineering practicability of the method researched in this paper.