Topology optimization of multimaterial aircraft pylons using generalized shape function approach

2026-09-23

AI Summary

本文使用广义形状函数方法解决多材料飞机吊舱的拓扑优化问题，通过最小化结构柔顺性并在体积约束下实现接近离散的材料布局。

Abstract

As the primary structural component connecting the engine to the wing or fuselage, an aircraft pylon requires optimized structural efficiency; this paper provides topology optimization of multimaterial pylons using the generalized shape function (gSF) approach. The gSF method uses $n$ natural-coordinate design variables per element to provide optimized designs up to $2^n$ distinct material phases while promoting close to discrete material layouts in conjunction with the density and formulated Heaviside projection filters. Pylon structural compliance is minimized subject to volume constraints. Exploiting the geometric features of a typical pylon structure, multimaterial evolution is performed on a corresponding 2D design domain representing the midplane, with up to 14 candidate materials. The optimized two-dimensional layout is then extruded to achieve the corresponding three-dimensional optimized pylon structure. The Method of Moving Asymptotes is employed to achieve the final design variables. The resulting convergence histories exhibit smooth and stable objective minimization. The results highlight the capability of the multimaterial topology optimization framework to effectively optimized aircraft pylons with multiple candidate materials, without requiring a considerable expansion of the design variable set.

Problem

• topology optimization
• multimaterial pylons
• structural efficiency
• volume constraints

Innovation

• topology optimization
• generalized shape function (gSF)
• multimaterial pylon
• Heaviside projection filter
• Method of Moving Asymptotes