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基于神经网络替代模型的蜂三明治结构的可靠性优化

Zheng Wei¹, Chunping Zhou¹, Feng Zhang²

¹Key Laboratory for Airborne Hi-Performance Electro-Magnetic Window, RISAC, Ji'nan 250000, China.

Materials (Basel, Switzerland)

|December 9, 2023

概括

这项研究优化了飞机的复合材料顶结构,最大限度地提高结构完整性,同时最大限度地减少质量. 粒子群优化算法提高了材料利用率和安全性.

科学领域:

航空航天工程航空航天工程
材料科学材料科学材料科学
结构优化结构优化

背景情况:

复合雷达保护飞机的雷达天线.
飞是飞机鼻子部分的关键结构部件.
需要优化来平衡质量,安全性和材料效率.

研究的目的:

开发复合顶结构的确定性和可靠性优化模型.
为了最大限度地减少顶的总质量.
为了最大限度地提高曲的关键负载,同时确保结构安全.

主要方法:

雷多姆结构的有限元素建模.
建立单一目标和多目标优化模型.
使用粒子群优化算法来解决.

主要成果:

针对蜂三明治雷多姆结构的优化层厚.
达到最小总质量和最大曲的临界负荷.
满足设计约束和提高材料利用率.

结论:

开发的优化模型有效地提高了radome的结构安全性.
粒子群集优化是雷多姆设计的一个可行的方法.
优化的雷多姆可以提高飞机的性能和可靠性.

关键词:

复合结构结构的复合结构多目标优化多目标优化神经网络的神经网络的神经网络可靠性优化可靠性优化代孕模型的代孕模型

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