Modeling of the problems in engineering scienc -es requires some effective tools that reliably predict the governing behaviors. In this paper, the Monte-Carlo Simulation (MCS) is introduce -ed as one of the most effective numerical methods for the simulating of the complex problems in the civil engineering area. The MCS, through the generation of the random numbers and probabilistic analysis is capable to simulate the experimental tasks in the environment of personal computers which reliably predicts the behavior of considered problems. Moreover, the application of MCS in the probabilistic failure analysis of civil enginee -ring problems such as structural analysis and the service life prediction of reinforced concrete structures were explained.
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