桥梁监测数据的车辆荷载效应分析与预测方法研究

Vehicle Load Effect Analysis and Prediction Methods for Bridge Monitoring Data

桥梁监测积累了大量数据,通过对这些数据的深入分析和挖掘,可进一步掌握桥梁结构受力状态,对桥梁养护决策具有重要意义。从车辆荷载效应分析入手,提出了一种基于监测数据概率分析的桥梁安全评估方法。在经验模态分解(EMD)的基础上从原始监测数据中分离出车辆荷载产生的瞬态效应,并进行统计分析,获取每日最大挠度的概率分布,利用平稳随机过程外推其一段时期内的最大值概率分布,从而获得桥梁今后一段时间内车辆荷载效应的最大值,并与设计值进行对比分析,为在役桥梁的科学养护提供可靠的预测依据。

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.