基于sPCE的参数的全球灵敏度分析:中国西北部一座混凝土面岩石填埋的案例研究
Li Ran1,2, Jie Yang1,2, Chunhui Ma1,2
1State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, China.
PloS one
|August 31, 2023
概括
本研究介绍了一种稀疏多项式混乱扩张 (sPCE) 方法,用于对混凝土面岩石填充水的高效灵敏度分析. 它准确地识别了影响大移位的关键材料参数,即使数据有限.
科学领域:
- 地质技术工程 地质技术工程
- 计算力学 计算力学 计算力学
- 数字建模 数字建模
背景情况:
- 混凝土面岩石填充水需要准确的材料参数识别,以确保安全和高效的设计.
- 对于复杂的水模型,传统的灵敏度分析方法可能是计算密集和低效的.
研究的目的:
- 提出基于稀疏多项式混沌扩张 (sPCE) 的全球灵敏度分析方法,用于识别混凝土面岩填充水中的关键材料参数.
- 为了提高大工程中的参数优化效率.
- 为了评估不同水区内的参数灵敏度的空间变化.
主要方法:
- 使用拉丁式超立方采样来选择材料参数.
- 采用有限元法 (FEM) 来计算大特征节点位移.
- 应用稀疏多项式混乱扩展 (sPCE) 进行位移近似和对直角匹配追求基础函数重建.
- 从混乱系数计算Sobol'指数,以确定参数的影响和相互作用.
主要成果:
- 使用缩小样本大小,sPCE模型在模拟水位移及其统计性质方面表现出高准确度.
- 在大的不同区域中确定了参数灵敏度的显著空间变化.
- 由于参数级别和材料空间分布,参数灵敏度排名中的突出差异.
结论:
- sPCE方法提供了一种高效且准确的方法,用于混凝土面岩填充水的灵敏度和不确定性分析.
- 了解参数灵敏度的空间变化对于有效的水设计和风险评估至关重要.
- 拟议的方法为大分析中的实际工程应用提供了有价值的参考.
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