Year: 2025
Type: article
Abstract: To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization efficiency while reducing complexity, a multi-objective genetic algorithm optimization mechanism based on a BP neural network surrogate model was proposed. Additionally, to explore new internal structural layouts for wings, a curved beam rib configuration was adopted. The feasibility of this method was validated using the wing box of a specific aircraft as the research subject. Compared to the original wing box, the optimization mechanism achieved an 8.16% reduction in mass, a 0.42% decrease in structural deformation, and a 12.75% reduction in maximum equivalent stress, significantly enhancing structural performance. The established optimization mechanism can serve as a reference for the lightweight design of aircraft structures.
Source: Open Journal of Applied Sciences
Authors: Zechi Yu, Qi Wang
Institution: Nanchang Hangkong University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408879992