Risk assessment of a layered slope considering spatial variabilities of interlayer and intralayer

• Published in: Computers and geotechnics 2023-04, Vol.156, p.105236, Article 105236
• Main Authors: Yi, Shun, Chen, Jian, Pan, Jia-jun, Huang, Jue-hao, Qiu, Yue-feng
• Format: Article
• Language: English
• Subjects: Interlayer variability; Intralayer variability; Multi-layered slope; Probability of slope failure; Slope risk assessment
• ISSN: 0266-352X; 1873-7633
• DOI: 10.1016/j.compgeo.2022.105236

While many studies have analyzed the effects of spatial variabilities of intralayer soil parameters on the probability of failure and risk of layered slopes, there is a paucity of research on the effects of interlayer variability. This paper is intended to investigate the influence of interlayer variability on the mechanical responses of a layered slope, as well as the effects of spatial variabilities of strength parameters of intralayer soils. To characterize the uncertainty of intralayer and interlayer spatial variabilities of layered geologic profiles, an integrated random field is developed using the program of FLAC based on both the two-dimensional random field theory and one-dimensional random process theory. Particularly, the random field for the interlayer transition zone is generated by a linear interpolation technique. Within the framework of Monte-Carlo simulation, a large number of stochastic calculations for a two-layered slope are conducted to evaluate the influences of spatial variabilities of both interlayer and intralayer on the stability and risk of the slope. The results show the failure mode of a two-layered slope changes greatly due to the stochastic layered boundary. It is also noted that the probability and risk of slope failure might be underestimated if ignoring the uncertainty arising from layered boundary and layered transition zone. The proposed equations can provide helpful information when investigating the probability and risk associated with layered slopes.