西北水电Issue(3)：119-123,5.DOI:10.3969/j.issn.1006-2610.2025.03.020
考虑堆石坝填筑过程的随机有限元模拟方法研究
Study on Stochastic Finite Element Simulation Method Considering Filling Process of Rockfill Dam
摘要
Abstract
Random field theory is often used to describe the inherent spatial variability of physical and mechanical properties of soil mate-rials.To take the on-site detection parameters during the filling process of rockfill dam as the basis for determining the calculation param-eters of finite element numerical analysis,and to avoid the deficiency that the complete random field exaggerates the material variability,the Kriging method was used to construct the constrained random field of rockfill compaction quality parameters.Based on the results of large-scale triaxial shear tests,a quantitative relationship between porosity and the main parameters of the Duncan E-B model was estab-lished,and then the random field of model parameters was constructed.The finite element stress-deformation calculation and analysis of the dam body based on the Monte Carlo method were carried out,and the results were compared with those of the deterministic analysis method.The results show that for earth-rock dam projects,the influence of the filling process on the randomness of material mechanical properties should be considered,and the use of limited compaction quality detection data during the filling process can effectively reflect the spatial random distribution of rockfill parameters.The maximum settlement after random field simulation mainly fluctuates in the range of 86～101 cm,concentrating around93 cm,which is larger than the deterministic analysis result of 91.03 cm.If the randomness of ma-terial parameters is not considered,the calculation results may underestimate the dam deformation.关键词
堆石坝/压实质量/Kriging法/约束随机场/蒙特卡洛模拟Key words
Rockfill dam/Compaction quality/Kriging method/Constrained random field/Monte Carlo simulation分类
建筑与水利引用本文复制引用
王芳,李国英,翟迎春,李敬昌..考虑堆石坝填筑过程的随机有限元模拟方法研究[J].西北水电,2025,(3):119-123,5.基金项目
国家重点研发计划(2024YFF1700702) （2024YFF1700702）
陕西省科技计划项目(2024GX-YBXM-470) （2024GX-YBXM-470）
国家自然科学基金项目(52350393). （52350393）
