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Critical slip surface and landslide volume of a soil slope under random earthquake ground motions

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Abstract

Finding the critical slip surface and estimating the landslide volume are of primary importance for slope seismic design. However, this may be difficult due to the uncertainty of ground motions. To address this problem, a new method for calculating uncertainties is recommended in this paper, especially for the critical slip surface and landslide volume under random earthquake ground motions. Firstly, a series of intensity–frequency nonstationary random earthquake ground motions were generated based on an improved orthogonal expansion method. A given number of potential slip surfaces were set in a soil slope. Subsequently, the factor of safety (FOS) of each slip surface for all ground motions was calculated and the minimum FOS curves were obtained. It was found that the critical slip surfaces and failure times are uncertain under different earthquakes. The Monte Carlo method was used to verify the accuracy of probability density evolution method (PDEM), and the results of the PDEM and the Monte Carlo method are consistent, meaning that the PEDM has higher computational efficiency. Moreover, the distributions of earthquake-triggered landslide volume and landslide depth were analyzed by considering equivalent extreme events. Both landslide volume and depth exhibit a normal distribution for a homogeneous soil slope. The framework of this study is meaningful for slope seismic design in engineering, for example, the location of critical slip surface can be used for slope reinforcement, and the distribution of sliding volume can be used for disaster assessment.

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The figure was drawn based on the G/Gmax ratio function and damping ratio function developed by Ishibashi and Zhang (1993)

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a and b are based on the previous study of the authors (Huang and Xiong 2017)

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References

  • Bray JD, Travasarou T (2007) Simplified procedure for estimating earthquake-induced deviatoric slope displacements. J Geotech Geoenviron Eng 133:381–392

    Article  Google Scholar 

  • Cacciola P, Deodatis G (2011) A method for generating fully non-stationary and spectrum-compatible ground motion vector processes. Soil Dyn Earthq Eng 31:351–360

    Article  Google Scholar 

  • Campbell CS, Cleary PW, Hopkins M (1995) Large-scale landslide simulations: global deformation, velocities and basal friction. J Geophys Res Solid Earth 100:8267–8283

    Article  Google Scholar 

  • Chen JB, Li J (2009) A note on the principle of preservation of probability and probability density evolution equation. Probab Eng Mech 24(1):51–59

    Article  Google Scholar 

  • Chen Z, Wei J (2013) Correlation between ground motion parameters and lining damage indices for mountain tunnels. Nat hazards 65(3):1683–1702

    Article  Google Scholar 

  • Chen Z, Chen W, Zhang W et al (2016) Effects of axial compression ratio of central columns on seismic performance of a multi-story underground structure. Int J Comput Methods 13(04):1641014

    Article  Google Scholar 

  • Chowdhury RN, Xu DW (1995) Geotechnical system reliability of slopes. Reliab Eng Syst Saf 47:141–151

    Article  Google Scholar 

  • Clough RW, Penzien J (1975) Dynamics of structures. McGraw-Hill, New York

    Google Scholar 

  • Deodatis G (1996) Non-stationary stochastic vector processes: seismic ground motion applications. Probab Eng Mech 11(3):149–167

    Article  Google Scholar 

  • Fan X, Rossiter DG, Westen CJ et al (2014) Empirical prediction of coseismic landslide dam formation. Earth Surf Process Landforms 39(14):1913–1926

    Article  Google Scholar 

  • Gao W (2015) Determination of the noncircular critical slip surface in slope stability analysis by meeting ant colony optimization. J Comput Civil Eng 30(2):06015001

    Article  Google Scholar 

  • GEO-SLOPE International Ltd. Dynamic modeling with QUAKE/W. https://www.geoslope.com/support/support-resources/example-files/example?id=examples:newmarkdeformationanalysis&resourceVersion=7

  • Griffiths D, Fenton GA (2004) Probabilistic slope stability analysis by finite elements. J Geotech Geoenviron Eng 130:507–518

    Article  Google Scholar 

  • Griffiths D, Huang J, Fenton GA (2009) Influence of spatial variability on slope reliability using 2-d random fields. J Geotech Geoenviron Eng 135:1367–1378

    Article  Google Scholar 

  • Gui S, Zhang R, Turner JP et al (2000) Probabilistic slope stability analysis with stochastic soil hydraulic conductivity. J Geotech Geoenviron Eng 126:1–9

    Article  Google Scholar 

  • Hammouri NA, Malkawi AIH, Yamin MM (2008) Stability analysis of slopes using the finite element method and limiting equilibrium approach. Bull Eng Geol Env 67(4):471

    Article  Google Scholar 

  • Huang Y, Xiong M (2017) Dynamic reliability analysis of slopes based on the probability density evolution method. Soil Dyn Earthq Eng 94:1–6

    Article  Google Scholar 

  • Huang J, Griffiths D, Fenton GA (2010) System reliability of slopes by rfem. Soils Found 50:343–353

    Article  Google Scholar 

  • Huang Y, Xiong M, Zhou H (2015a) Ground seismic response analysis based on the probability density evolution method. Eng Geol 198:30–39

    Article  Google Scholar 

  • Huang Y, Yu M, Xu Q et al (2015b) Insar-derived digital elevation models for terrain change analysis of earthquake-triggered flow-like landslides based on alos/palsar imagery. Environ Earth Sci 73:7661–7668

    Article  Google Scholar 

  • Ishibashi I, Zhang X (1993) Unified dynamic shear moduli and damping ratios of sand and clay. Soils Found 33(1):182–191

    Article  Google Scholar 

  • Jha SK, Suzuki K (2009) Liquefaction potential index considering parameter uncertainties. Eng Geol 107:55–60

    Article  Google Scholar 

  • Jiang SH, Huang J, Zhou CB (2017) Efficient system reliability analysis of rock slopes based on subset simulation. Comput Geotech 82:31–42

    Article  Google Scholar 

  • Johnson BC, Campbell CS, Melosh HJ (2016) The reduction of friction in long runout landslides as an emergent phenomenon. J Geophys Res Earth Surf 121:881–889

    Article  Google Scholar 

  • Kahatadeniya KS, Nanakorn P, Neaupane KM (2009) Determination of the critical failure surface for slope stability analysis using ant colony optimization. Eng Geol 108(1–2):133–141

    Article  Google Scholar 

  • Li J, Chen J (2008) The principle of preservation of probability and the generalized density evolution equation. Struct Saf 30:65–77

    Article  Google Scholar 

  • Li J, Chen J (2009) Stochastic dynamics of structures. Wiley, Singapore

    Book  Google Scholar 

  • Li DQ, Xiao T, Cao ZJ et al (2016) Enhancement of random finite element method in reliability analysis and risk assessment of soil slopes using subset simulation. Landslides 13:293–303

    Article  Google Scholar 

  • Li DQ, Yang ZY, Cao ZJ et al (2017) System reliability analysis of slope stability using generalized subset simulation. Appl Math Model 46:650–664

    Article  Google Scholar 

  • Liu X, Griffiths DV, Tang H (2015) Comparative study of system reliability analysis methods for soil slope stability. Eng Geol Soc Territory 2:1363–1366

    Article  Google Scholar 

  • Liu Z, Liu W, Peng Y (2016) Random function based spectral representation of stationary and non-stationary stochastic processes. Probab Eng Mech 45:115–126

    Article  Google Scholar 

  • Liu LL, Cheng YM, Wang XM et al (2017a) System reliability analysis and risk assessment of a layered slope in spatially variable soils considering stratigraphic boundary uncertainty. Comput Geotech 89:213–225

    Article  Google Scholar 

  • Liu Z, Liu Z, Peng Y (2017b) Dimension reduction of Karhunen–Loeve expansion for simulation of stochastic processes. J Sound Vib 408:168–189

    Article  Google Scholar 

  • Macedo J, Bray J, Abrahamson N et al (2018) Performance-based probabilistic seismic slope displacement procedure. Earthq Spectra 34(2):673–695

    Article  Google Scholar 

  • Ministry of Construction of China (2010) Code for seismic design of buildings (GB 50011–2010). China Building Industry Press, Beijing (in Chinese)

    Google Scholar 

  • Nature Publishing Group (2016) Geology: fluid flow in landslides. Nature 532:150–150

    Google Scholar 

  • Peng J, Fan Z, Wu D et al (2015) Heavy rainfall triggered loess–mudstone landslide and subsequent debris flow in Tianshui, China. Eng Geol 186:79–90

    Article  Google Scholar 

  • Peng J, Leng Y, Zhu X et al (2016) Development of a loess-mudstone landslide in a fault fracture zone. Environ Earth Sci 75(8):658

    Article  Google Scholar 

  • Priestley M (1965) Evolutionary spectra and non-stationary processes. J R Stat Soc Ser B 27(2):204–237

    Google Scholar 

  • Rathje EM, Wang Y, Stafford PJ et al (2014) Probabilistic assessment of the seismic performance of earth slopes. Bull Earthq Eng 12:1071–1090

    Article  Google Scholar 

  • Rezaeian S, Der Kiureghian A (2012) Simulation of orthogonal horizontal ground motion components for specified earthquake and site characteristics. Earthq Eng Struct Dyn 41(2):335–353

    Article  Google Scholar 

  • Rezaeian S, Der Kiureghian A (2010) Stochastic modeling and simulation of ground motions for performance-based earthquake engineering. Pacific Earthquake Engineering Research Center. PEER Report 2010/02. Univ. of California, Berkeley, Calif. https://peer.berkeley.edu/sites/default/files/web_peer10_02_sanaz_rezaeian_and_armen_der_kiureghian.pdf

  • Seed HB, Idriss IM (1970) Soil moduli and damping factors for dynamic response analyses. Earthquake Engineering Research Center. Report No. EERC 70-10. Univ. of California, Berkeley, Calif. https://nisee.berkeley.edu/elibrary/Text/3135

  • Staron L, Lajeunesse E (2009) Understanding how volume affects the mobility of dry debris flows. Geophys Res Lett 36(12):91–100

    Article  Google Scholar 

  • Wartman J, Seed RB, Bray JD (2005) Shaking table modeling of seismically induced deformations in slopes. J Geotech Geoenviron Eng 131:610–622

    Article  Google Scholar 

  • Xu C, Xu X, Shen L et al (2016) Optimized volume models of earthquake-triggered landslides. Sci Rep 6:29797

    Article  Google Scholar 

  • Yang YC, Xing HG, Yang XG et al (2015) Two-dimensional stability analysis of a soil slope using the finite element method and the limit equilibrium principle. IES J Part A Civil Struct Eng 8(4):251–264

    Article  Google Scholar 

  • Yu M, Huang Y, Xu Q et al (2016) Application of virtual earth in 3d terrain modeling to visual analysis of large-scale geological disasters in mountainous areas. Environ Earth Sci 75:563

    Article  Google Scholar 

  • Zhang J, Huang HW, Phoon KK (2012) Application of the kriging-based response surface method to the system reliability of soil slopes. J Geotech Geoenviron Eng 139:651–655

    Article  Google Scholar 

  • Zhang Y, Chen G, Zheng L, Li Y, Wu J (2013a) Effects of near-fault seismic loadings on run-out of large-scale landslide: a case study. Eng Geol 166:216–236

    Article  Google Scholar 

  • Zhang Y, Chen G, Zheng L et al (2013b) Effects of near-fault seismic loadings on run-out of large-scale landslide: a case study. Eng Geol 166:216–236

    Article  Google Scholar 

  • Zhang Y, Wang J, Xu Q et al (2015a) DDA validation of the mobility of earthquake-induced landslides. Eng Geol 194(8):38–51

    Article  Google Scholar 

  • Zhang Y, Zhang J, Chen G et al (2015b) Effects of vertical seismic force on initiation of the Daguangbao landslide induced by the 2008 Wenchuan earthquake. Soil Dyn Earthq Eng 73:91–102

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant nos. 41625011 and 51778467), the Fundamental Research Funds for the Central Universities, and Tongji Civil Engineering Peak Discipline Plan.

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Correspondence to Yu Huang.

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Huang, Y., Zhao, L., Xiong, M. et al. Critical slip surface and landslide volume of a soil slope under random earthquake ground motions. Environ Earth Sci 77, 787 (2018). https://doi.org/10.1007/s12665-018-7974-5

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