Analytical stochastic analysis of seismic stability of infinite slope

• Published in: Soil dynamics and earthquake engineering (1984) Vol. 79; pp. 17 - 21
• Main Authors: Johari, A., Khodaparast, A.R.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2015
• Subjects: Angles (geometry); Computer simulation; Infinite slope seismic stability; Jointly distributed random variables method; Mathematical models; Monte Carlo simulation; Seismic stability; Slope stability; Slopes; Soil (material); Stochastic analysis; Stochasticity; Stochastic analysis; Jointly distributed random variables method; Infinite slope seismic stability; Monte Carlo simulation
• ISSN: 0267-7261; 1879-341X
• DOI: 10.1016/j.soildyn.2015.08.012

The sliding of natural slopes is usually governed by combination of soil parameters and earthquake characteristics. The inherent variability of these parameters which affect seismic slope stability dictates that the problem is of a probabilistic nature rather than being deterministic. Stochastic analysis of slope seismic stability has received attention in the literature and has been used as an effective tool to evaluate uncertainty so prevalent in the variables. In this research, the jointly distributed random variables method is used as an analytical method for stochastic analysis and reliability assessment of seismic stability of infinite slopes without seepage. The selected stochastic parameters are internal friction angle, cohesion and unit weight of soil, which are modeled using a truncated normal probability density function and the horizontal seismic coefficient which is considered to have a truncated exponential probability density function. The geometric parameters such as height and angle of the slope relative to a horizontal are regarded as constant parameters. The results are compared with the Monte Carlo simulation. Comparison of the results indicates superior performance of the proposed approach for assessment of reliability. •The JDRV method is used to assess reliability of seismic stability of infinite slope.•The selected stochastic parameters are: γ, c, φ, and kh.•The geometric parameters are regarded as constant parameters.•The results are compared with those of the MCs.•The proposed approach shows very good performance for assessment of reliability.