Many structural parameters,such as the dead load,damping and related material properties of the structure,will affect the calculation results of the bridge numerical model.The uncertainties involved in these parameters are called modeling uncertainties.The research shows that the deviation of the structural vulnera-bility curve reaches 70％due to the modeling uncertainties,so it is necessary to consider the uncertainty in the seismic vulnerability analysis.This paper uses a probabilistic seismic demand model(PSDM)vulnerability cal-culation method based on random forest(RF)model to analyze the impact of uncertain factors such as the ma-terial characteristics,load conditions and geometric characteristics of bridge components on the bridge vulnera-bility,and screens out important uncertain parameters.The structural vulnerability curve is predicted by the learning and prediction function of RF model.
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