Risk Assessment of Seismic Slope Stability Considering Soil Spatial Variability Using Subset Simulation
Publication: Geo-Congress 2024
ABSTRACT
This study conducted probabilistic analyses of seismic slope stability considering the spatial variability and stratigraphy orientation of soil properties. The slope stability and consequence of slope failure were described using probability of failure and risk of failure, respectively. To reduce computational time, subset simulation was adopted. It is found that for seismic slope stability problems, the horizontal seismic coefficient has a significant effect on the probability of failure and risk of failure of the slope. The variability of soil properties, that is, the rotation angle and scale of fluctuation of the random field, has a large impact on the statistical outcomes. Critical scenarios were identified, where the main stratigraphy orientation is parallel or semi-parallel to the slope surface. The stratigraphy orientation is most influential when a small horizontal seismic coefficient is used. It is also noticed that the vertical seismic coefficient can have a moderate impact on probabilistic outcomes.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Burgess, J., Fenton, G. A., and Griffiths, D. V. (2019). “Probabilistic seismic slope stability analysis and design.” Canadian Geotechnical Journal, 56: 1979–1998.
Cami, B., Javankhoshdel, S., Phoon, K. K., and Ching, J. (2020). “Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(4): 03120002.
Chen, Z., Chen, J., Chen, R., Chen, G., and Zhong, Y. (2018). “Risk Assessment of slope failure considering the variability in soil properties.” Computers and Geotechnics, 103: 61–72.
Cho, S. E. (2010). “Probabilistic Assessment of Slope Stability That Considers the Spatial Variability of Soil Properties.” Journal of Geotechnical and Geoenvironmental Engineering, 136(7): 975–984.
Griffiths, D. V., and Fenton, G. A. (2004). “Probabilistic Slope Stability Analysis by Finite Elements.” Journal of Geotechnical and Geoenvironmental Engineering, 130(5): 507–518.
Huang, L., Cheng, Y. M., Leung, Y. F., and Li, L. (2019). “Influence of rotated anisotropy on slope reliability evaluation using conditional random field.” Computers and Geotechnics, 115: 103133.
Huang, Y., Zhao, L., and Li, X. (2020). Slope-Dynamic Reliability Analysis Considering Spatial Variability of Soil Parameters, International Journal of Geomechanics, 20(6): 04020068.
Ji, J., Wang, C. W., Gao, Y. F., and Zhang, L. M. (2020). “Probabilistic investigation of the seismic displacement of earth slopes under stochastic ground motion: A rotational sliding block analysis.” Canadian Geotechnical Journal, 58(7): 952–968.
Li, D. Q., Xiao, T., Cao, Z. J., Zhou, C. B., and Zhang, L. M. (2015). “Enhancement of random finite element method in reliability analysis and risk assessment of soil slopes using Subset Simulation.” Landslides, 13, 293–303.
Luo, N., and Luo, Z. (2022). “Risk Assessment of Footings on Slopes in Spatially Variable Soils Considering Random Field Rotation.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(3): 04022028.
Ng, C. W. W., Ou, C., Cheung, R. W. M., Guo, H., Ni, J., Chen, Y., and Zhang, S. (2021). “Risk assessment of soil slope failure considering copula-based rotated anisotropy random fields.” Computers and Geotechnics, 136: 104252.
Wang, Y., Cao, Z. J., and Au, S. K. (2011). “Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet.” Canadian Geotechnical Journal, 48(1):162–172.
Zhu, H., and Zhang, L. M. (2013). “Characterizing geotechnical anisotropic spatial variations using random field theory.” Canadian Geotechnical Journal, 50(7): 723–734.
Information & Authors
Information
Published In
Geo-Congress 2024
Pages: 731 - 740
History
Published online: Feb 22, 2024
ASCE Technical Topics:
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.