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通过PSO-LSSVR代理建模和灵敏度分析优化网格硬化结构
Jingbo Gai1, Yao Jian1, Qi Deng2
1College of Aerospace and Civil Engineering, Harbin Engineering University, 145 Nantong Street, Harbin, 150001, Heilongjiang, People's Republic of China.
Scientific reports
|November 29, 2025
概括
这项研究引入了火箭中网格强化结构的优化方法,提高了11.20%的载荷效率. 该方法改善了发射器的结构设计,潜在地降低了成本并提高了运输效率.
科学领域:
- 航空航天工程 航空航天工程
- 结构力学 结构力学
- 计算工程 计算工程 计算工程
背景情况:
- 网格硬化结构是发射器中关键的承载部件,直接影响火箭性能.
- 优化它们的载荷效率对于降低发射成本和提高运输效率至关重要.
研究的目的:
- 提出基于承载效率的网格强化结构的结构优化方法.
- 为这些结构开发一种实用的3D几何建模方法.
- 为了提高火箭部件的载荷效率.
主要方法:
- 开发了用于网格硬化结构的3D参数几何建模方法,包括接和硬化器定位.
- 使用有限元分析 (FEA) 确定在内部压力下曲负荷,经过验证的准确性.
- 使用粒子集群优化-最小方程支向量回归 (PSO-LSSVR) 构建了一个替代模型,以高效地预测曲负载.
- 采用Sobol方法来评估参数灵敏度并确定关键设计因素.
- 制定了一个负载效率优化模型,具有质量和几何约束.
主要成果:
- 拟议的优化方法成功地将网格硬化结构的承载效率提高了11.20%.
- 开发的几何建模方法有效地创建了网格硬化结构的实用3D模型.
- 参数灵敏度分析确定了影响曲负载的关键因素.
结论:
- 该研究提供了一种有效的方法来建模和优化航空航天应用中的网格硬化结构.
- 这种方法有效地提高了承载效率,同时尊重了设计约束.
- 这项工作为降低发射成本和提高太空运输效率奠定了基础.
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