A Johari - Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran
S Mousavi - Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz,Iran

Soil shear strength is a very important topic in geotechnical problems. Shear strength is dependent on a number of variables and is highly amenable to probabilistic treatment. Probabilistic analysis of shear strength is used as an effective tool to evaluate uncertainty of soil parameters. In this research the jointeddistribution random variable method is used for probabilistic analysis and reliability assessment of Mohr- Coulomb shear strength equation. The selected stochastic parameters are internal friction angle, cohesion, and unit weight of soil as well as the depth of which are modeled using truncated normal probabilitydistribution functions. The resultant probability density functions are compared with the Monte Carlosimulation. Comparison of the results indicates superior performance of the proposed approach for assessment of reliability of the shear strength model for unsaturated soils

Reliability assessment, jointly distributed random variables method, Monte Carlo simulation, Soil shear strength