Probabilistic risk assessment of vehicle safety on a bridge using field-monitored data

New approaches to evaluate vulnerablity of bridge for strong wind with respect to vehicle safety are suggested and analysed. Expected time that exceeding critical wind speed is estimated as risk index through probabilistic approach. Field-monitored wind data is used together with long-term wind data obtained from nearby weather station. 20-year long-term wind data collected from nearby weather station and one year field-monitored wind data are utilized for case study. Three different data processing methods for estimating probability distribution model are attempted: Method 1) correction of wind speed with consideration of surface roughness and height, Method 2) measured-correlate-predict method, Method 3) applying relationship between daily mean wind speed - daily wind distribution. In short, new approaches give much lower risk value than existing one which means that original method evaluate risk quite conservatively.