[3J01-05] SeismicPRA

[3J02] Development of a random number generation method for earthquake risk assessment

(3) Streamlining DQFM

*Daichi Ogawa¹, Shota Terayama¹, Yasuki Ohtori¹, Hitoshi Muta¹ (1. TOKYO CITY UNIVERSITY)

Keywords:Earthquake Risk Assessment, random number, Earthquake hazard assessment

The Direct Quantification of Fault Tree Using the Monte Carlo Simulation (DQFM) method is effective method to quantify the seismic risk in which seismic correlation is considered. However, the critical issue of the method is the computational burden. Thus, reducing the number of simulations is urgent issue for practical applications. In the previous studies, we have proposed a random number generation method suitable for evaluating the risk in which extremely low frequency probability distribution is important, and confirmed the application and validity of earthquake hazard evaluation. In this paper, we apply the proposed random number generation method to the DQFM method and show the effectiveness of the generator.