Combining Monte Carlo and finite difference methods for effective simulation of dam behavior
Monte Carlo simulation provides a probabilistic approach to evaluate the physical behavior of infrastructures. Therefore, the performance could be achieved in a more realistic manner. Within this framework, an innovative software code is developed by combining the Monte Carlo and finite difference methods to predict the behavior of embankment dams after impounding. In order to assess the efficiency of the method, the case study of Chahnimeh-4 dam, located at Southeast of Iran, has been investigated in detail. The behavior of this dam is predicted and compared with the field monitoring by using the KolmogorovSmirnov test. The results indicate the robustness of the proposed method and it can be then efficiently used in monitoring the dam responses with respect to the various factors like seepage, piping and settlement.
finite difference monte carlo simulation dam monitoring flac software risk analysis kolmogorov-smirnov test