Identification method of bridge earthquakes based on the probability statistical characteristics of sensitive load effect
In order to accurately identify earthquake loads on bridges in actual service environment,the monitoring deflection and acceleration data of a bridge before and after earthquakes are obtained by bridge monitoring method,and six structural effects that are sensitive to earthquakes are selected.The time-varying regularities and probability statistical characteristics of the six structural effects under daily loads and earthquakes are analyzed.The normal distribution function,Weibull distribution function and generalized extreme value distribution function are used to fit the probability density,and the best probability density function is determined.The thresholds of the six structural effects are calculated using the probability density function,which are feasible to identify the occurs of earthquakes.The probability statistical characteristics of the monitoring deflection and acceleration data is well described by the generalized extreme value distribution function.The monitoring results show that when the earthquake occurred,all the measured maximum absolute values of the six structural effects were greater than that of the thresholds,indicating that the proposed identification method of bridge earthquakes is effective.
bridge structureearthquake identificationdeflectionaccelerationstatistical characteristics of probability density
NETL
NSTL
万方数据
维普
