Stochastic Finite-Element Analysis of Earth–Rockfill Dams Considering the Spatial Variability of Soil Parameters
Publication: International Journal of Geomechanics
Volume 22, Issue 12
Abstract
The spatial variability of soil parameters notably influences the accuracy of numerical analyses of earth–rockfill dams. This research establishes a stochastic finite-element method (FEM) considering the spatial variability of soil parameters. The autocorrelation distance and distribution function of the soil dry density are determined according to the monitoring values in situ. The regression functions between the dry density and Duncan E-B model parameters are developed using the triaxial test results. According to the dry densities distribution function and these regression functions, the cumulative distribution functions of E-B model parameter are determined, and the soil parameters random field are established using the isoprobabilistic transformation method. The Guanyinyan composite dam was taken as an example, and the convergence of the stochastic FEM, the effect of random field element size, and the sensitivity of E-B model parameters were discussed. The stochastic FEM analysis of Guanyinyan composite dam showed that the mean value of maximum settlements considering the spatial variability of soil parameters is close to the calculation of inversion parameters. The mean value of maximum settlements began converging in the region when stochastic FEM analysis calculations exceeded 400 times. The influence of the random field element size of the soil parameters on the stochastic FEM calculation is less than that on the FEM calculation. Kb has the largest impact on the stochastic FEM calculation, and Rf has the least influence.
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Acknowledgments
This research was supported by the National Key Research and Development Plan (2016YFB0201001).
Notation
The following symbols are used in this paper:
- Aρ, AK
- n-dimensional independent standard normal distribution random variable for ρ and K;
- a, b
- fitting parameters of regression functions between the dry density and Duncan E-B model parameters;
- C
- autocorrelation matrix;
- C0, C1, t
- fitting parameters;
- cij
- autocorrelation coefficient between © and j position;
- G(ρ)
- cumulative distribution function of the log-normal distribution of ρ;
- G′(ρ), GK′(K)
- modified cumulative distribution function of the log-normal distribution of ρ and K;
- g′(ρ)
- modified log-normal distribution function of soil dry density;
- h
- distance between any two dry densities in the monitoring positions;
- Hρ, HK
- modified correlated random field of ρ and K;
- correlated standard normal random field of ρ and K;
- K, n, Kb, m
- parameters of Duncan E-B model;
- L
- lower triangular matrix decomposed from C;
- L0
- average length;
- lx, ly
- horizontal and vertical autocorrelation distance;
- Nh
- number of pairs of two soil dry density separated by h;
- Rf
- failure ratio of Duncan E-B model;
- X
- coordinates of the soil positions in the dam;
- xi, xj
- horizontal coordinates of positions i and j;
- yi, yj
- vertical coordinates of positions i and j;
- δ
- scale of fluctuation;
- δu, δv
- fluctuation function;
- δh, δv
- horizontal and vertical scale of fluctuation;
- Δz
- distance between the different soil dry-density monitoring positions;
- ϕ0, Δϕ
- shear strength parameter;
- Φρ, ΦK
- the cumulative distribution function of the standard normal distribution of ρ and K;
- γ (L0)
- variance function ranging from 0 to 1;
- γ* (h)
- experimental semivariogram;
- μlnρ, σlnρ
- mean value and SD of the log-normal distribution of soil dry density;
- μρ, σρ
- mean value and SD of the of soil dry density;
- ρ
- soil dry densities;
- a family of moving average processes of the soil dry density;
- ρmax, ρmin
- maximum and minimum soil dry densities measured in situ; and
- σ1, σ3
- major principal and minor principal stress.
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© 2022 American Society of Civil Engineers.
History
Received: Nov 18, 2021
Accepted: Feb 27, 2022
Published online: Sep 23, 2022
Published in print: Dec 1, 2022
Discussion open until: Feb 23, 2023
ASCE Technical Topics:
- Analysis (by type)
- Distribution functions
- Engineering fundamentals
- Finite element method
- Geomechanics
- Geometry
- Geotechnical engineering
- Mathematical functions
- Mathematics
- Methodology (by type)
- Numerical methods
- Parameters (statistics)
- Probability
- Soil analysis
- Soil dynamics
- Soil mechanics
- Soil properties
- Soil settlement
- Spatial analysis
- Spatial variability
- Statistics
- Stochastic processes
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