Distribution Characteristics of Random Loads in Aizhai Bridge

Abstract

AbstractParametric expressions of the normal and lognormal-distribution functions are derived by the maximum-likelihood method, whereas parametric expressions of the Weibull distribution function are derived by the least-square method. Based on a 48 h real-time survey of random vehicle loads on the Aizhai bridge, some parameters are analyzed and optimally fitted. These parameters are tested using the Kolmogorov-Smirnov (K-S) method to satisfy the requirements so that the optimum distribution parameters and types can be identified out according to the measured distributions. Results show that vehicles on the Aizhai bridge can be divided into seven types, with the dominant ones being the second (car) and seventh (large truck) types, accounting for 49.5% and 21.56%, respectively. Based on analytical results, the distribution characteristics of vehicle speed are as follows: (1) The speeds of the third, fourth, and fifth types of vehicles satisfy normal distribution using the K-S method; (2) Although the speed...