In order to improve the calculation efficiency of Monte Carlo method

composite sampling has been put forward which is a combination of updated Latin hypercube sampling and antithetic sampling

then introduce it into Monte Carlo stochastic finite element method (MCSFEM). Based on the three dimensional finite element model

studying the random disturbance of seepage field due to the variability of permeability coefficient and head boundary condition by using MCSFEM to analyze the random seepage field of Shanping embankment dam. Besides

an analysis on the sensitivity of the variation coefficient and sampling number are carried out. Finally

probability analysis of the result of the seepage field is taken. The results show that: with the randomness of the permeability coefficient increases

the variability of total head potential

velocity and permeation volume force is also getting higher. In addition

composite sampling method not only can effectively accelerate the convergence rate of the MC

but also can reduce the statistical correlation between the samples

verifies the practicality and reliability of the new sampling method. Furthermore

when the permeability coefficient obeys the normal distribution

the head and hydraulic gradient of the selected nodes also obey the normal distribution.