一种适应性的混合相关性,为不确定性进行动态优化,为球形形外结构提供一种适应性的混合相关性,为不确定性进行动态优化
Tianchen Huang1,2, Qingshan Wang1,2, Rui Zhong1,2
1College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.
Materials (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了一种不确定性优化方法,使用一个适应式的Kriging替代模型来对层进行优化. 该方法提高了计算效率和工程应用中的应用性.
科学领域:
- 结构工程 结构工程
- 计算力学 计算力学 计算力学
- 材料科学 材料科学 材料科学
背景情况:
- 层状球形形外是各种工程应用中的关键组件.
- 优化层角度对于其振动特性和性能至关重要.
- 参数的不确定性给传统的优化方法带来了重大挑战.
研究的目的:
- 为层状球形形外提出一种不确定性优化方法.
- 为准确预测开发一种自适应混合相关的Kriging替代模型.
- 为了提高计算效率和优化技术的适用性.
主要方法:
- 用于振动分析的运动方程的构造.
- 开发和验证一种自适应混合相关的基灵替代模型.
- 应用一个改进的多目标Salp Swarm算法来优化不确定性.
主要成果:
- 克里金替代模型在预测振动特征方面表现出高准确度.
- 适应性混合相关的Kriging模型有效地分析了不确定性下的重量分布.
- 开发的优化算法在解决不确定性方面表现出显著的有效性.
结论:
- 建议的不确定性优化方法适用于层状球形形外,并且具有计算效率.
- 增强的Kriging建模策略改善了复杂的外结构的分析.
- 这项研究为优化在不确定性条件下的复合材料外结构提供了一个强大的框架.
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