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| Distribution Characteristics of Random Loads in Aizhai Bridge |
| JIANG Tian-yong1, XIE Jing-si2 |
1. School of Civil Engineering and Architecture, Changsha University of Science and Technology, Changsha Hunan 410114, China;
2. Department of Architectural Engineering, Hunan Urban Construction College, Xiangtan Hunan 411100, China |
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Abstract Parametric 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 were analyzed and optimally fitted. These parameters were 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 K-S method; (2) Although the speeds of the first, second, sixth, and seventh types of vehicles do not satisfy normal distribution using K-S method, their measured curves well fit the normal fitting curve. Thus, the normal-distribution function is suitable for the speed-distribution characteristics. Furthermore, the weight-distribution characteristics show that all types of vehicles do not satisfy the normal-distribution function, lognormal-distribution function, or Weibull function using K-S method. However, by comparing the nearest extent between the statistically measured and corresponding critical values, the weight-distribution characteristics should be applied using the normal-distribution function.
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Received: 29 June 2015
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| Fund:Supported by the National Natural Science Foundation of China(No.51208061); the Hunan Province Innovation Open Fund Project of China (No.12K077) |
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Corresponding Authors:
JIANG Tian-yong,E-mail address:tianyong_jiang@foxmail.com
E-mail: tianyong_jiang@foxmail.com
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2016, Vol. 10 
