Probabilistic methodologies for single hazard have been developed extensively , which mainly focused on earthquakes , floods , hurricanes , lightnings , fires , and explosions . Many useful probabilistic models such as probit regression , Monte Carlo simulation , logistic regression , and Bayesian analysis were widely used to obtain parameterized damage probability functions. Usually, these probabilistic models were driven by the post equipment damage data or the analytical and numerical approximations . In recent years, more attention has been paid to the multi-hazard coupling effects.