Technical Papers
Mar 2, 2022

Dynamic Reliability Analysis of the Stability of the 3D Slope of a Rockfill Dam Based on the Copula Function and Generalized Probability Density Evolution Method

Publication: International Journal of Geomechanics
Volume 22, Issue 5

Abstract

Rockfill strength parameters are important indicators of the stability of a rockfill dam slope. Therefore, a rational representation of the distribution characteristics of these parameters is extremely important to accurately assess the stability of the dynamic response and reliability of the three-dimensional (3D) slope of a rockfill dam. A joint distribution model of the rockfill strength parameters is constructed in this study using the copula function. In addition, a dynamic reliability analysis method for slope stability is proposed using a number-theoretical method and the generalized probability density evolution method (GPDEM). First, the method is validated by comparing the results for a numerical example with those obtained by Monte Carlo simulation (MCS). Second, the traditional and proposed joint distribution models are comparatively analyzed in terms of the dynamic response and reliability. Finally, the effect of the type of copula function on the dynamic reliability of the slope is investigated. The results show that the copula theory, the number-theoretical method, and the GPDEM provide an effective approach to analyze the dynamic response and reliability of slope stability. The randomness of rockfill strength parameters is sensitive to the safety factor of the slope stability of rockfill dams. The reliability analysis method can reasonably characterize the influence of strength parameter uncertainty on dam slope stability, which makes up for the deficiency of using a single safety measurement standard in the deterministic analysis method. The copula function can reasonably characterize the nonnormal distribution characteristics of rockfill strength parameters, improve the calculation accuracy of the slope stability reliability of rockfill dams, and provide an important scientific basis for the accurate safety assessment of dam slope stability. The type of copula function has an important impact on the dynamic reliability results for slope stability. Thus, it is extremely important to build a joint distribution model of rockfill strength parameters based on a rational selection of the optimal copula function.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the China National Natural Science Foundation (Grant Nos. 52009017 and 51979026), China National Postdoctoral Program for Innovative Talents (Grant No. BX20190057), China National Postdoctoral Science Foundation (Grant No. 2020M680951), Liaoning Province Science Foundation (Grant No. 2020-BS-06), and National Key R&D Program of China (Grant No. 2017YFC0404904). This financial support is gratefully acknowledged.

References

Akaike, H. 1974. “A new look at the statistical model identification.” IEEE Trans. Autom. Control 19 (6): 716–723. https://doi.org/10.1109/TAC.1974.1100705.
Deodatis, G. 1996. “Non-stationary stochastic vector processes: Seismic ground motion applications.” Probab. Eng. Mech. 11 (3): 149–67. https://doi.org/10.1016/0266-8920(96)00007-0.
Duncan, J. M. 1996. “State of the art: Limit equilibrium and finite-element analysis of slopes.” J. Geotech. Eng. 122 (7): 577–596. https://doi.org/10.1061/(ASCE)0733-9410(1996)122:7(577).
Gao, Y. F., F. Zhang, G. H. Lei, and D. Y. Li. 2013. “An extended limit analysis of three-dimensional slope stability.” Géotechnique 63 (6): 518–524. https://doi.org/10.1680/geot.12.T.004.
Goda, K. 2010. “Statistical modeling of joint probability distribution using copula: Application to peak and permanent displacement seismic demands.” Struct. Saf. 32 (2): 112–123. https://doi.org/10.1016/j.strusafe.2009.09.003.
Hua, L. K., and Y. Wang. 1981. Applications of number theory to numerical analysis. Berlin: Springer.
Huang, Y., H. Hu, and M. Xiong. 2018a. “Probability density evolution method for seismic displacement-based assessment of earth retaining structures.” Eng. Geol. 234: 167–173. https://doi.org/10.1016/j.enggeo.2018.01.019.
Huang, Y., H. Hu, and M. Xiong. 2019. “Performance-based seismic fragility analysis of retaining walls based on the probability density evolution method.” Struct. Infrastruct. Eng. 15 (1): 103–112. https://doi.org/10.1080/15732479.2018.1520906.
Huang, Y., and M. Xiong. 2017a. “Probability density evolution method for seismic liquefaction performance analysis of earth dam.” Earthquake Eng. Struct. Dyn. 46 (6): 925–943. https://doi.org/10.1002/eqe.2837.
Huang, Y., and M. Xiong. 2017b. “Dynamic reliability analysis of slopes based on the probability density evolution method.” Soil Dyn. Earthquake Eng. 94: 1–6. https://doi.org/10.1016/j.soildyn.2016.11.011.
Huang, Y., M. Xiong, and H. Zhou. 2015. “Ground seismic response analysis based on the probability density evolution method.” Eng. Geol. 198: 30–39. https://doi.org/10.1016/j.enggeo.2015.09.004.
Huang, Y., X. Xu, and W. Mao. 2020. “Numerical performance assessment of slope reinforcement using a pile-anchor structure under seismic loading.” Soil Dyn. Earthquake Eng. 129: 105963. https://doi.org/10.1016/j.soildyn.2019.105963.
Huang, Y., L. Zhao, M. Xiong, C. Liu, and P. Lu. 2018b. “Critical slip surface and landslide volume of a soil slope under random earthquake ground motions.” Environ. Earth Sci. 77 (23): 787. https://doi.org/10.1007/s12665-018-7974-5.
Jiang, S. H., J. Huang, D. V. Griffiths, and Z.-P. Deng. 2021. “Advances in reliability and risk analyses of slopes in spatial variable soils: A state-of-the-art review.” Comput. Geotech. 141: 104498. https://doi.org/10.1016/j.compgeo.2021.104498.
Jiang, S. H., J. Huang, X. H. Qi, and C. B. Zhou. 2020. “Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment.” Eng. Geol. 271: 105597. https://doi.org/10.1016/j.enggeo.2020.105597.
Jiang, S. H., I. Papaioannou, and D. Straub. 2018. “Bayesian updating of slope reliability in spatially variable soils with in-situ measurements.” Eng. Geol. 239: 310–320. https://doi.org/10.1016/j.enggeo.2018.03.021.
Jiang, S. H., and J. Huang. 2016. “Efficient slope reliability analysis at low-probability levels in spatially variable soils.” Comput. Geotech. 75: 18–27. https://doi.org/10.1016/j.compgeo.2016.01.016.
Kemal, H. 2009. “Stochastic response of concrete faced rockfill dams including partially ice-covered reservoir–foundation interaction under spatially varying seismic waves.” Cold Reg. Sci. Technol. 58 (1–2): 57–67. https://doi.org/10.1016/j.coldregions.2009.03.006.
Kleiber, M., and T. D. Hien. 1992. The stochastic finite-element method: Basic perturbation technique and computer implementation. New York: Wiley.
Kougioumtzoglou, I. A., and P. D. Spanos. 2012. “An analytical wiener path integral technique for non-stationary response determination of nonlinear oscillators.” Probab. Eng. Mech. 28 (4): 125–131. https://doi.org/10.1016/j.probengmech.2011.08.022.
Li, A. J., R. S. Merifield, and A. V. Lyamin. 2010a. “Three-dimensional stability charts for slopes based on limit analysis methods.” Can. Geotech. J. 47 (12): 1316–1334. https://doi.org/10.1021/jp9088657.
Li D. Q., and X. S. Tang. 2014. “Modeling and simulation of bivariate distribution of shear strength parameters using copulas.” In Chapter 2 of Risk and reliability in geotechnical engineering, 77–128. Boca Raton, FL: CRC Press.
Li, D. Q., X. S. Tang, K. K. Phoon, Y. F. Chen, and C. B. Zhou. 2013. “Bivariate simulation using copula and its application to probabilistic pile settlement analysis.” Int. J. Numer. Anal. Methods Geomech. 37 (6): 597–617. https://doi.org/10.1002/nag.1112.
Li, J. 2016. “Probability density evolution method: Background, significance and recent developments.” Probab. Eng. Mech. 44: 111–117. https://doi.org/10.1016/j.probengmech.2015.09.013.
Li, J., and J. B. Chen. 2009. Stochastic dynamics of structures. New York: Wiley.
Li, J., J. B. Chen, and W. L. Fan. 2007. “The equivalent extreme-value event and evaluation of the structural system reliability.” Struct. Saf. 29 (2): 112–131. https://doi.org/10.1016/j.strusafe.2006.03.002.
Li, J., Z. J. Liu, and J. B. Chen. 2009. “Orthogonal expansion of ground motion and PDEM-based seismic response analysis of nonlinear structures.” Earthquake Eng. Eng. Vib. 8 (3): 313–28. https://doi.org/10.1007/s11803-009-9090-8.
Li, J., Y. B. Peng, and J. B. Chen. 2010b. “A physical approach to structural stochastic optimal controls.” Probab. Eng. Mech. 25 (1): 127–141. https://doi.org/10.1016/j.probengmech.2009.08.006.
Liu, H. Q., F. Xiao, and X. X. Yang. 2015. “Dam reliability analysis method based on FEM-SVM.” [In Chinese.] Water Resour. Power 33 (10): 21, 43–45.
Lizarraga, S. 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.
Michalowski, R. L., and A. Drescher. 2009. “Three-dimensional stability of slopes and excavations.” Géotechnique 59 (10): 839–850. https://doi.org/10.1680/geot.8.P.136.
Nelsen, R. B. 2006. An introduction to copulas. New York: Springer.
Nobile, F., R. Tempone, and C. G. Webster. 2008. “A sparse grid stochastic collocation method for partial differential equations with random input data.” SIAM J. Numer. Anal. 46 (5): 2309–2345. https://doi.org/10.2307/25663069.
Pang, R., B. Xu, X. J. Kong, D. Zou, and Y. Zhou. 2018a. “Seismic reliability assessment of earth-rockfill dam slopes considering strain softening of rockfill based on generalized probability density evolution method.” Soil Dyn. Earthquake Eng. 107: 96–107. https://doi.org/10.1016/j.soildyn.2018.01.020.
Pang, R., B. Xu, X. J. Kong, Y. Zhou, and D. Zou. 2018b. “Seismic performance evaluation of high CFRD slopes subjected to near-fault ground motions based on generalized probability density evolution method.” Eng. Geol. 246: 391–401. https://doi.org/10.1016/j.enggeo.2018.09.004.
Pang, R., B. Xu, X. Zhang, Y. Zhou, and X. Kong. 2019. “Seismic performance investigation of high CFRDs subjected to mainshock–aftershock sequences.” Soil Dyn. Earthquake Eng. 116: 82–85. https://doi.org/10.1016/j.soildyn.2018.09.049.
Pang, R., B. Xu, D. G. Zou, and X. J. Kong. 2018c. “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.
Schwarz, G. 1978. “Estimating the dimension of a model.” Ann. Stat. 6 (2): 461–464. https://doi.org/10.1214/aos/1176344136.
Shinozuka, M. 1972. “Monte Carlo solution of structural dynamics.” Comp. Struct. 2 (5–6): 855–874. https://doi.org/10.1016/0045-7949(72)90043-0.
Sklar, A. 1959. “Fonctions de repartition and dimensions et leurs marges.” Publ. Inst. Stat. Univ. Paris 8: 229–231.
Skorokhod, A. V., F. Hoppensteadt, and H. Salehi. 2002. Random perturbation methods with applications in science and engineering. Berlin: Springer.
Song, L. F., B. Xu, X. J. Kong, D. G. Zou, R. Pang, X. Yu, and Z. Zhang. 2019. “Three-dimensional slope dynamic stability reliability assessment based on the probability density evolution method.” Soil Dyn. Earthquake Eng. 120: 360–368. https://doi.org/10.1016/j.soildyn.2019.02.006.
Song, L. F., X. Yu, B. Xu, R. Pang, and Z. Zhang. 2021. “3D slope reliability analysis based on the intelligent response surface methodology.” Bull. Eng. Geol. Environ. 80 (2): 735–749. https://doi.org/10.1007/s10064-020-01940-6.
Stefanou, G., D. Savvas, and M. Papadrakakis. 2015. “Stochastic finite element analysis of composite structures based on material microstructure.” Compos. Struct. 132: 384–92. https://doi.org/10.1016/j.compstruct.2015.05.044.
Tang, X. S., D. Q. Li, C. B. Zhou, K. K. Phoon, and L. M. Zhang. 2013. “Impact of copulas for modeling bivariate distributions on system reliability.” Struct. Saf. 44: 80–90. https://doi.org/10.1016/10.1016/j.strusafe.2013.06.004.
Tang, X. S., D. Q. Li, C. B. Zhou, and K. K. Phoon. 2015. “Copula-based approaches for evaluating slope reliability under incomplete probability information.” Struct. Saf. 52: 90–99. https://doi.org/10.1016/j.strusafe.2014.09.007.
Uzielli, M., and P. W. Mayne. 2012. “Load-displacement uncertainty of vertically loaded shallow footings on sands and effects on probabilistic settlement.” Georisk Assess. Manage. Risk Eng. Syst. Geohazards 6 (1): 50–69. https://doi.org/10.1080/17499518.2011.626333.
Wang, G. H., Y. X. Wang, W. Zhou, and C. Zhou. 2015. “Integrated duration effects on seismic performance of concrete gravity dams using linear and nonlinear evaluation methods.” Soil Dyn. Earthquake Eng. 79: 223–236. https://doi.org/10.1016/j.soildyn.2015.09.020.
Wu, C. L., X. P. Ma, and T. S. Fang. 2006. “A complementary note on Gegenbauer polynomial approximation for random response problem of stochastic structure.” Probab. Eng. Mech. 21 (4): 410–419. https://doi.org/10.1016/j.probengmech.2006.02.001.
Wu, Z. G., G. C. Han, and G. Lin. 1992. Introduction to stochastic geodynamics. [In Chinese.] Dalian: Dalian University of Technology Press.
Xiu, D. B. 2009. “Fast numerical methods for stochastic computations: A review.” Commun. Comput. Phys. 5 (2–4): 242–72.
Xiu, D. B., and J. S. Hesthaven. 2005. “High-order collocation methods for differential equations with random inputs.” SIAM J. Sci. Comput. 27 (3): 1118–39. https://doi.org/10.1137/040615201.
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, J., J. B. Chen, and J. Li. 2012. “Probability density evolution analysis of engineering structures via cubature points.” Comput. Mech. 50 (1): 135–156. https://doi.org/10.1007/s00466-011-0678-2.
Xu, J., and D. C. Feng. 2018. “Seismic response analysis of nonlinear structures with uncertain parameters under stochastic ground motions.” Soil Dyn. Earthquake Eng. 111: 149–159. https://doi.org/10.1016/j.soildyn.2018.04.023.
Yang, G., and S. Zhu. 2016. “Seismic response of rockfill dams considering spatial variability of rockfill materials via random finite-element method.” Chin. J. Geotech. Eng. 38 (10): 1822–1832. https://doi.org/10.11779/CJGE201610011.
Yu, Y., L. Xie, and B. Zhang. 2005. “Stability of earth-rockfill dams: Influence of geometry on the three-dimensional effect.” Comput. Geotech. 32 (5): 326–339. https://doi.org/10.1016/j.compgeo.2005.03.003.
Zhang, L. 2017. Bayesian approach to identifying the best-fit bivariate distribution model for shear strength parameters. [In Chinese.] Wuhan: Wuhan Univ.
Zhang, L., and V. P. Singh. 2006. “Bivariate flood frequency analysis using the copula method.” J. Hydrol. Eng. 11 (2): 150–164. https://doi.org/10.1061/(ASCE)1084-0699(2006)11:2(150).
Zhao, L., F. Yang, Y. Zhang, H. Dan, and W. Liu. 2015. “Effects of shear strength reduction strategies on safety factor of homogeneous slope based on a general nonlinear failure criterion.” Comput. Geotech. 63: 215–228. https://doi.org/10.1016/j.compgeo.2014.08.015.
Zhou, X. P., and H. Cheng. 2013. “Analysis of stability of three-dimensional slopes using the rigorous limit equilibrium method.” Eng. Geol. 160: 21–33. https://doi.org/10.1016/j.enggeo.2013.03.027.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 22Issue 5May 2022

History

Received: Aug 19, 2021
Accepted: Dec 8, 2021
Published online: Mar 2, 2022
Published in print: May 1, 2022
Discussion open until: Aug 2, 2022

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College of Civil Engineering and Architecture, Wenzhou Univ., Wenzhou 325035, China. Email: [email protected]
Rui Pang, Aff.M.ASCE [email protected]
School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian Univ. of Technology, Dalian 116024, China (corresponding author). Email: [email protected]
State Key Laboratory of Coastal and Offshore 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/0000-0003-3932-032X. Email: [email protected]

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Cited by

  • Bayesian Multimodel Probabilistic Methodology for Stability Analysis of Rock Structures with Limited Data of Copula-Dependent Inputs, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10.1061/AJRUA6.RUENG-1064, 9, 3, (2023).
  • Reliability Modelling of Pipeline Failure under the Impact of Submarine Slides-Copula Method, Mathematics, 10.3390/math10091382, 10, 9, (1382), (2022).
  • Reliability-based stability analysis of large rock slopes with different failure mechanisms using response surface methodology, Environmental Earth Sciences, 10.1007/s12665-022-10624-1, 81, 21, (2022).

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