Vehicle Load Effect Analysis and Prediction Methods for Bridge Monitoring Data
Bridge monitoring collects a large amount of data,through the in-depth analysis and mining of the data,it can further clarify the structural stress state of the bridge,which is of great significance for the bridge's maintenance decision-making.This paper proposed a bridge safety evaluation method based on the monitoring data probability analysis considering vehicle load effects.This method is based on the EMD algorithm,the transient effect of vehicle load is separated from raw monitoring data,and the probability distribution of daily maximum deflection is obtained according to the statistical analysis of vehicle load effects.It uses the smooth stochastic process to extrapolate the maximum probability distribution over a while,to obtain the maximum value of the vehicle load effect of the bridge in the next period which is compared with the designed value.This paper provides a reliable prediction basis for the scientific maintenance of bridges in service.
bridge health monitoringdata analysisprobability statisticsmaximum value distributiondata predictionmaintenance decision-making
万方数据
维普
