Analytical reliability assessment of liquefaction potential based on cone penetration test results

Determination of site liquefaction potential and subsequent deterrent action can prevent signicant damage to structures. In this way, a probabilistic liquefaction assessment can develop potential exibility and risk management decisions. Based on the advantage of probabilistic assessment, considerable research has been carried out in the past few years on liquefaction potential. In this research, the jointly distributed random variables method is used as an analytical method for probabilistic analysis and reliability assessment of liquefaction potential based on cone penetration test results. The selected stochastic parameters are corrected CPT tip resistance and the stress reduction factor, which are modeled using a truncated normal probability density function and peak horizontal earthquake acceleration ratio and magnitude, which are considered to have a truncated exponential probability density function. The depth of the water table and nes content are regarded as constant parameters. The results are compared with those of the Monte Carlo simulation. Comparison of the results and parametric analysis indicates the very good performance of the proposed approach in the assessment of reliability. A sensitivity analysis shows that the moment magnitude is the most eective parameter in soil liquefaction potential.