%0 Journal Article
%T Optimization Design of Curved Wing Box Based on BP-Multi-Objective Genetic Algorithm
%A Zechi Yu
%A Qi Wang
%J Open Journal of Applied Sciences
%P 798-808
%@ 2165-3925
%D 2025
%I Scientific Research Publishing
%R 10.4236/ojapps.2025.154053
%X 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.
%K Genetic Algorithm
%K Structural Optimization
%K Neural Network
%K Lightweight Design
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=141603