矮寨大桥随机荷载分布特性研究

doi:10.3969/j.issn.1002-0268.2015.07.013

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (976 KB) HTML ()
输出: BibTeX | EndNote (RIS)

摘要 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.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	蒋田勇
	谢静思

关键词 ： bridge engineering, Aizhai bridge, optimum fitting, random characteristics, load investigation, K-S test

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.

Key words： bridge engineering Aizhai bridge optimum fitting random characteristics load investigation K-S test

收稿日期: 2015-06-29

基金资助:Supported by the National Natural Science Foundation of China(No.51208061); the Hunan Province Innovation Open Fund Project of China (No.12K077)

通讯作者: JIANG Tian-yong,E-mail address:tianyong_jiang@foxmail.com E-mail: tianyong_jiang@foxmail.com

引用本文:

蒋田勇, 谢静思. 矮寨大桥随机荷载分布特性研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(1): 49-56.
JIANG Tian-yong, XIE Jing-si. Distribution Characteristics of Random Loads in Aizhai Bridge. Journal of Highway and Transportation Research and Development, 2016, 10(1): 49-56.

链接本文:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/10.3969/j.issn.1002-0268.2015.07.013 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2016/V10/I1/49

[1] LUO Xia, DU Jin-you, CHEN Ying-wen. Analyses on Multi-traffic Flow's Characteristics[J]. Journal of southwest Jiaotong Univerity, 2000, 35(3):297-300.(in Chinese)
[2] LUO Xia, DU Jin-you, HUO Ya-min. Study on the Distribution Patterns of Time Headway of Vehicles[J]. Journal of Southwest Jiaotong Univerity, 2001, 36(2):113-116. (in Chinese)
[3] WANG Rong-hui, CHI Chun, CHEN Qing-zhong, et al. Study on the Model of the Fatigue Loaded Vehicles in Guangzhou Trestle Bridges[J]. Journal of South China University of Technology, 2004, 32(12):94-96. (in Chinese)
[4] ZHAO Chen, HUANG Pei-yan, HUANG Long-tian. Acquisition and Statistic Analysis of Random Load Data for Bridges[J]. Journal of Central South Highway Engineering,2004, 29(1):12-15. (in Chinese)
[5] CAI Jia-ming. Better Fitting for Distribution of Vehicles Flow[J]. Journal of Shanghai University of Engineering Science, 2006, 20(2):100-103. (in Chinese)
[6] [ZK(]JIN Dan, CHEN Xu. Fatigue Life Evaluation under Multiracial Random Loadings[J]. Advances in Mechanics, 2006, 36(1):65-74. (in Chinese)
[7] FENG Xiu-feng, SONG Yu-pu, ZHU Mei-chun. An Experimental Study on the Fatigue Life of Prestressed Concrete Beams under Random-amplitude Fatigue Loading[J]. China Civil Engineering Journal,2006, 39(9):32-38. (in Chinese)
[8] ZHAO Cheng-jian. Study of Parameters Estimation Methods for Weibull Distribution[D]. Tianjin:Nankai University, 2007. (in Chinese)
[9] CHEN Zhao-quan. Research on Traffic Load Stochastic Process Model of Existing Bridge[D]. Changsha University of Science and Technology, 2007. (in Chinese)
[10] WANG Lei, ZHANG Jian-ren. Vehicle Load Effect Model for Existing Bridge Based on Equilibrium Renewal Process[J]. China Journal of Highway and Transport, 2008, 21(5):50-60.(in Chinese)
[11] WANG Lei, ZHANG Jian-ren. Continuous Reach Process Simulation of Different Vehicle Loads on Existing Road and Bridge[J]. Journal of China and Foreign Highway, 2008, 28(2):83-88. (in Chinese)
[12] HUANG Jie. A Method of Simulating Random Variables Normal Distribution and Its Application[D]. Wuhan:Huazhong University of Science and Technology, 2009. (in Chinese)
[13] YOU Da-zhang. Reliability Assessment of the Least Squares Method in the Weibull Distribution[J]. Journal of Hubei University of Technology, 2009, 24(4):34-45. (in Chinese)
[14] ZHOU Yong-tao, BAO Wei-gang, ZHAI Hui. Research on Standard Traffic Load for Expressway[J]. Journal of Highway and Transportation Research and Development, 2010, 27(2):36-41. (in Chinese)
[15] WANG Tao. Investigation and Simulation for Traffic Loading on Expressway Bridge[D]. Xi'an:Chang'an University, 2010. (in Chinese)
[16] JIN Liang-qiong. Parameter Estimation of Two-parameter Weibull Distribution[D]. kunming:Yunnan University, 2010. (in Chinese)