基于申请通行记录的桥梁超限车辆荷载统计模型

Statistical Load Model for Overloaded Vehicles Using Data Records

根据广西区申请通行的超限车辆数据信息,基于概率统计理论,采用双峰正态分布和对数正态分布建立了该区五轴和六轴超限车辆总重和轴距的概率分布模型;根据一元正态线性回归理论,建立了总重与轴重的线性回归模型;分析了超限车辆总重和轴距之间的相互关系。根据建立的超限车辆荷载模型,采用蒙特卡洛(Monte Carlo)法各随机生成了10 000辆五轴、六轴超限车辆,通过对比随机生成的超限车辆与实际超限车辆对中小跨径简支梁桥产生的跨中最大弯矩效应,验证了按照本文方法建立的超限车辆荷载模型用以模拟实际超限车辆的可行性,同时也为五轴、六轴超限车辆过桥时桥梁的安全评估提供了基础数据。

According to the data records of the overloaded vehicle from Guangxi Highway Administration, the bimodal Gaussian distribution and lognormal Gaussian distribution are employed to attain the probabilistie model for the axle load, axle base and complete weight of the overloaded vehicle with 5 or 6 axles in Guangxi region. The article presents the linear regression model for complete weight and axle weight and analyzes the relationship between complete weight and axle base of the overloaded vehicle. The Monte Carlo is used to randomly generate 10 000 vehicles with 5 or 6 axles according to the statistical load models. The maximum bending moments of the simple-supported bridge with small and medium span under the action of the simulated overloaded vehicle models are compared to those under practical vehicles, which verified the effectiveness of the proposed overloaded vehicle model, and also supplies important data for vehicular permit checking and bridge safety assessment.