Technical Papers
Sep 23, 2022

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;
HρD,HKD
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;
ρL0
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.

References

Boulanger, R. W., and J. Montgomery. 2016. “Nonlinear deformation analyses of an embankment dam on a spatially variable liquefiable deposit.” Soil Dyn. Earthquake Eng. 91: 222–233. https://doi.org/10.1016/j.soildyn.2016.07.027.
Chen, H., and D. Liu. 2019. “Stochastic finite element analysis of rockfill dam considering spatial variability of dam material porosity.” Eng. Comput. 36 (9): 2929–2959. https://doi.org/10.1108/EC-06-2018-0266.
Chen, J., P. Liu, Q. Xu, and J. Li. 2020. “Seismic analysis of hardfill dams considering spatial variability of material parameters.” Eng. Struct. 211: 110439. https://doi.org/10.1016/j.engstruct.2020.110439.
Chen, L.-H., Z.-Y. Chen, and J.-M. Liu. 2005. “Probability distribution of soil strength.” [In Chinese] Yantu Lixue (Rock Soil Mech.) 26 (1): 37–40+45.
Chen, Q. 2007. Comparison and verification of computational model of deformation in high core-wall Rockfill Dam. [In Chinese] Beijing: Tsinghua University.
Chen, Y., R. Hu, W. Lu, D. Li, and C. Zhou. 2011. “Modeling coupled processes of non-steady seepage flow and non-linear deformation for a concrete-faced rockfill dam.” Comput. Struct. 89 (13-14): 1333–1351. https://doi.org/10.1016/j.compstruc.2011.03.012.
Chen, Z. Y., G. Y. Li, K. M. Wei, L. Q. Wu, and Y. M. Zhu. 2021. “Ultimate state and probability of particle breakage for rockfill materials based on fractal theory.” [In Chinese] Chin. J. Geotech. Eng. 43 (7): 1192–1200.
Ching, J., and K.-K. Phoon. 2013. “Effect of element sizes in random field finite element simulations of soil shear strength.” Comput. Struct. 126 (1): 120–134. https://doi.org/10.1016/j.compstruc.2012.11.008.
Cho, S. E. 2007. “Effects of spatial variability of soil properties on slope stability.” Eng. Geol. 92 (3-4): 97–109. https://doi.org/10.1016/j.enggeo.2007.03.006.
Dakoulas, P., P. Vazouras, P. Kallioglou, and G. Gazetas. 2018. “Effective-stress seismic analysis of a gravity multi-block quay wall.” Soil Dyn. Earthquake Eng. 115: 378–393. https://doi.org/10.1016/j.soildyn.2018.08.032.
Duncan, J. M., P. Byrne, K. S. Wong, and P. Mabry. 1980. Strength, stress-stain and bulk modulus parameters for finite element analyses of stresses and movements in soil masses. Rep. No. UCB/GT/80-01. Berkeley, CA: Univ. of California.
Honggang, J. 2006. 3-D FEM dynamic analysis on asphalt concrete core-wall Rockfill Dam built on deep overburden layers. [In Chinese] Nanjing: Hohai Univ.
Hsu, S.-C., and P. P. Nelson. 2006. “Material spatial variability and slope stability for weak rock masses.” J. Geotech. Geoenviron. Eng. 132 (2): 183–193. https://doi.org/10.1061/(ASCE)1090-0241(2006)132:2(183).
Huang, J., and D. V. Griffiths. 2015. “Determining an appropriate finite element size for modelling the strength of undrained random soils.” Comput. Geotech. 69: 506–513. https://doi.org/10.1016/j.compgeo.2015.06.020.
IGEHU (Institute of Geotechnical Engineering Hohai University). 2006. Static and dynamic 3D finite element analysis report on stress deformation and stability of gravel soil core rockfill dam of Maoergai hydropower station in Heishui River Sichuan Province. [In Chinese] Jiangsu, China: IGEHU.
Jia, Y., S. Chi, and B. Xiang. 2016. “A new rockfill dynamic characteristics analogy method using statistic relationship.” J. Vibroeng. 18 (4): 2278–2292. https://doi.org/10.21595/jve.2016.16768.
Jia, Y., B. Xu, S. Chi, B. Xiang, D. Xiao, and Y. Zhou. 2018. “Joint back analysis of the creep deformation and wetting deformation parameters of soil used in the Guanyinyan composite dam.” Comput. Geotech. 96: 167–177. https://doi.org/10.1016/j.compgeo.2017.10.018.
Jiang, W. 2019. “Comment: Empirical Bayes interval estimation.” Stat. Sci. 34 (2): 219–223. https://doi.org/10.1214/19-STS708.
KRIC (Kunming survey, design and Research Institute of China Water Consulting Group). 2008. The report on the supplementary test of coarse rockfill in Nuozhadu Hydropower Station. [In Chinese] Kunming, China: KRIC.
KRIC (Kunming survey, design and Research Institute of China Water Consulting Group). 2011. Test report of impervious soil material for right bank core rockfill in Guanyinyan dam. [In Chinese] Kunming, China: KRIC.
KRIC (Kunming survey, design and Research Institute of China Water Consulting Group). 2017. Safety analysis and evaluation of right bank core rockfill dam and joint based on construction filling of Guanyinyan Hydropower Station. [In Chinese] Kunming, China: KRIC.
Li, D.-Q., Y.-N. Ding, X.-S. Tang, and Y. Liu. 2021. “Probabilistic risk assessment of landslide-induced surges considering the spatial variability of soils.” Eng. Geol. 283: 105976. https://doi.org/10.1016/j.enggeo.2020.105976.
Li, Q., Y. Yu, B. Zhang, and Z. Shen. 2005. “Three-dimensional analysis for the wetting deformation of Gongboxia concrete faced rock-fill dam on the Yellow River.” [In Chinese] J. Hydraul. Eng. 24 (3): 24–29.
Liu, D., and H. Chen. 2019. “Relationship between porosity and the constitutive model parameters of rockfill materials.” J. Mater. Civ. Eng. 31 (2): 04018384. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002598.
Luo, T., C. Zhang, F. Liu, Y. Zuo, H. Qiu, and J. Hou. 2021. “Role of particle breakage in rockfill materials: Investigated by using combined SBFEM/DEM with two different breakage models.” Int. J. Geomech. 21 (9): 04021174. https://doi.org/10.1061/(ASCE)GM.1943-5622.0002131.
Mouyeaux, A., C. Carvajal, P. Bressolette, L. Peyras, P. Breul, and C. Bacconnet. 2018. “Probabilistic stability analysis of an earth dam by Stochastic Finite Element Method based on field data.” Comput. Geotech. 101: 34–47. https://doi.org/10.1016/j.compgeo.2018.04.017.
NHRI (Nanjing Hydraulic Research Institute). 2006. The static and dynamic test report of the materials for the gravel soil core rockfill dam of Changheba Hydropower Station. [In Chinese] Nanjing, China: NHRI.
Onyejekwe, S., X. Kang, and L. Ge. 2016. “Evaluation of the scale of fluctuation of geotechnical parameters by autocorrelation function and semivariogram function.” Eng. Geol. 214: 43–49. https://doi.org/10.1016/j.enggeo.2016.09.014.
Pang, R., B. Xu, D. Zou, and X. Kong. 2018. “Stochastic seismic performance assessment of high CFRDs based on generalized probability density evolution method.” Comput. Geotech. 97: 233–245. https://doi.org/10.1016/j.compgeo.2018.01.016.
Rahmani, H., and A. K. Panah. 2021. “Influence of particle size on particle breakage and shear strength of weak rockfill.” Bull. Eng. Geol. Environ. 80 (1): 473–489. https://doi.org/10.1007/s10064-020-01889-6.
Run-hu, C. 2010. “Study on geological properties of rock-fill material in Zhangfeng reservoir.” [In Chinese] J. Water Resour. Archit. Eng. 8 (4): 159–173.
Sanchez Lizarraga, H., and C. G. Lai. 2014. “Effects of spatial variability of soil properties on the seismic response of an embankment dam.” Soil Dyn. Earthquake Eng. 64: 113–128. https://doi.org/10.1016/j.soildyn.2014.03.016.
Shen, C. 2007. Dynamic testing and antiseismic analysis for the Xiatianji rockfill impevious face dam. [In Chinese] Xian: Xian Univ. of Technology.
Shen, Z. j. 1994. “Back analysis of deformation of lubuge earth core Rockfill Dam.” [In Chinese] Chin. J. Geotech. Eng. 16 (3): 1–13.
Shi, B. X., S. C. Liu, X. L. Wu, and W. K. Chang. 2021. “Dilatancy behaviors of rockfill materials considering particle breakage.” [In Chinese] J. Geotech. Eng. 43 (7): 1360–1366.
Tabarroki, M., and J. Ching. 2019. “Discretization error in the random finite element method for spatially variable undrained shear strength.” Comput. Geotech. 105: 183–194. https://doi.org/10.1016/j.compgeo.2018.10.001.
Wang, F., and K. Sett. 2016. “Time-domain stochastic finite element simulation of uncertain seismic wave propagation through uncertain heterogeneous solids.” Soil Dyn. Earthquake Eng. 88: 369–385. https://doi.org/10.1016/j.soildyn.2016.07.011.
Wang, F., and J. Q. Zhang. 2020. “Study of breakage behaviour of original rockfill materials considering size effect on particle strength.” [In Chinese] Rock Soil Mech. 41 (1): 87–94.
Wang, L., J. Zhu, Z. Zhang, and H. Zheng. 2021. “Effects of dry density on shear behavior and particle breakage for slate rockfill material.” Bull. Eng. Geol. Environ. 80 (2): 1181–1192. https://doi.org/10.1007/s10064-020-01971-z.
Wickremesinghe, D., and R. G. Camponella. 1993. “Scale of fluctuation as a descriptor of soil variability.” In Proc., of Conf., on Probabilistic Methods in Geotechnical Engineering, Canberra, edited by K. S. Li and S.-C. R. Lo, 233–239. Rotterdam: A.A. Balkema.
Xiao, Y., H. Liu, Y. Chen, J. Jiang, and W. Zhang. 2015. “State-dependent constitutive model for rockfill materials.” Int. J. Geomech. 15 (5): 04014075. https://doi.org/10.1061/(ASCE)GM.1943-5622.0000421.
Xiao, Y., H. Liu, X. Ding, Y. Chen, J. Jiang, and W. Zhang. 2016a. “Influence of particle breakage on critical state line of rockfill material.” Int. J. Geomech. 16 (1): 04015031. https://doi.org/10.1061/(ASCE)GM.1943-5622.0000538.
Xiao, Y., H. Liu, C. S. Desai, Y. Sun, and H. Liu. 2016b. “Effect of intermediate principal-stress ratio on particle breakage of rockfill material.” J. Geotech. Geoenviron. Eng. 142 (4): 06015017. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001433.
Xiao, Y., and H. Liu. 2017. “Elastoplastic constitutive model for rockfill materials considering particle breakage.” Int. J. Geomech. 17 (1): 04016041. https://doi.org/10.1061/(ASCE)GM.1943-5622.0000681.
Xu, B., R. Pang, and Y. Zhou. 2020. “Verification of stochastic seismic analysis method and seismic performance evaluation based on multi-indices for high CFRDs.” Eng. Geol. 264: 105412. https://doi.org/10.1016/j.enggeo.2019.105412.
Xu, Z. P., Y. Shao, B. X. Hu, and H. B. Chen. 2005. “Study on stress and deformation properties of high concrete face rockfill dam in narrow valley.” [In Chinese] Water Resour. Hydr. Eng. 36 (5): 30–33.
Yan, S. W., H. X. Zhu, R. Liu, and W. H. Sun. 2007. “Study on methods for estimating correlation distance of soil layers.” [In Chinese.] Rock Soil Mech. 28 (8): 1581–1586.

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International Journal of Geomechanics
Volume 22Issue 12December 2022

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

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Shichun Chi [email protected]
Institute of Earthquake Engineering, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China. ORCID: https://orcid.org/0000-0002-1919-7742. Email: [email protected]
State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China (corresponding author). Email: [email protected]
Zongliang Zhang [email protected]
POWERCHINA Kunming Engineering Corporation, Kunming 650000, China. Email: [email protected]

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