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摘要: 为研究货运繁重公路的车辆荷载谱和疲劳车辆模型, 基于佛山平胜大桥的动态称重系统采集的多时段车流数据, 归类出了车辆荷载谱的10类代表车型, 分析了代表车型的轴距、质量、轴重和超载数据, 以及沿不同车道的车辆和轴重分布特性, 提出了可用于钢桥疲劳评估的车辆荷载谱; 以疲劳加载率最大的六轴车辆为原型, 基于疲劳损伤等效原则分别提出了桥梁单向重载车道的疲劳车辆模型和简化疲劳车辆模型。计算结果表明: 平胜大桥呈现货运繁重公路的典型特征, 车辆日均通行总量达到了45 065veh, 约为《AASHTO LRFD》定义的日均通行量20 000veh的2.3倍; 疲劳车辆在全部交通流中的比例为51.6%, 为《AASHTO LRFD》定义的20.0%的2.6倍; 货车占疲劳车辆总数的45.2%, 主要分布于重载车道, 而且通行货车超载比例占到相应车型的30%70%, 最大超载货车达到了132.5t;两轴货车超载率为29.0%, 等效质量达到17.5t, 后轴等效轴重达到12.1t, 因而不能忽略两轴货车的疲劳加载贡献。对比《AASHTO LRFD》五轴标准疲劳车辆模型(前轴轴重为2.6t, 中间双联轴和后面双联轴的单轴轴重均为5.4t) 和简化标准疲劳车辆模型(前轴为2.6t, 中轴和后轴均为10.8t), 提出的六轴单向疲劳车辆模型总质量为33.1t, 前轴轴重为3.6t, 中间双联轴和后面三联轴的单轴轴重均为5.9t;简化单向疲劳车辆模型的前轴轴重为3.6t, 中轴和后轴分别为11.8、17.7t;针对重载车道提出的六轴疲劳车辆模型总质量达到了36.5t, 前轴轴重为4.0t, 联轴中的单轴轴重均为6.5t;对应的重载车道简化疲劳车模型的前轴轴重为4.0t, 中轴和后轴轴重分别为13.0、19.5t。Abstract: In order to research vehicle loading spectrum and fatigue truck models of heavy cargo highway, the multi-period traffic flow data based on a weight-in-motion system located on Pingsheng Bridge in Foshan were used to present 10 representative vehicle types. The wheelbases, masses, axle loads and overload data of representative vehicle types were analyzed, the distributions of vehicle types and axle loads on each lane were studied, and vehicle loading spectrum was proposed to evaluate the fatigue performance of steel bridge. The six-axle truck with the largest fatigue loading rate was taken as prototype, the fatigue truck model and simplified fatigue truck model of unidirectional heavy load lane of bridge were proposed based onthe equivalent rule of fatigue damage. Calculation result shows that Pingsheng Bridge presents the typical features of heavy cargo highway, the average daily traffic is 45 065 veh and 2.3 times as large as 20 000 veh in AASHTO LRFD. The proportion of fatigue vehicles is 51.6% in all traffic flow and 2.6 times as large as 20.0% in AASHTO LRFD. The proportion of trucks is 45.2% in all fatigue vehicles, they mainly distribute on heavy lanes, overload trucks accounts for 30%-70% of corresponding vehicle types, and the maximum mass of overload truck reaches 132.5 t. The overload rate of two-axle trucks is 29.0%, the equivalent mass is 17.5 t, and the equivalent mass of rear axle is 12.1 t, therefore, the fatigue loading effect of two-axle trucks should not be ignored. Compared with AASHTO LRFD's five-axle standard fatigue vehicle model (the front axle load is 2.6 t, and the single axle loads of mid and rear two-axle group are 5.4 t) and the simplified fatigue vehicle model (the front axle load is 2.6 t, and the mid axle load and rear axle load are 10.8 t), the total mass of six-axle unidirectional fatigue truck model proposed in this paper is 33.1 t, the front axle load is 3.6 t, and the single axle loads of mid two-axle group and rear three-axle group are 5.9 t. The front axle load of simplified one-direction fatigue truck model is 3.6 t, the mid axle load is 11.8 t, and the rear axle load is 17.7 t. The total mass of six-axle fatigue truck model proposed for the heavy lanes reaches 36.5 t, the front axle load is 4.0 t, and each axle load of conjoint-axle is 6.5 t. The front axle load of simplified fatigue vehicle model for the heavy lanes is 4.0 t, the mid load is 13.0 t, and the rear axle load is 19.5 t.
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Key words:
- vehicle loading spectrum /
- fatigue truck model /
- heavy cargo highway /
- overload /
- weigh in motion
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表 1 车辆数据
Table 1. Vehicle data
表 2 车辆模型
Table 2. Vehicle types
表 3 超载车辆统计
Table 3. Statistics of overweight vehicles
表 4 各代表车型车道分布
Table 4. Distribution of representive vehicles type on lanes
表 5 单向车辆荷载谱与疲劳加载贡献Fig.5 One-direction vehicular load spectrums and fatigue loading contributions
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[1] FU Gong-kang, HAG-ELSAFI O. Vehicular overloads: load model, bridge safety and permit checking[J]. Journal of Bridge Engineering, 2000, 5 (1): 49-57. doi: 10.1061/(ASCE)1084-0702(2000)5:1(49) [2] 祝志文, 黄炎, 向泽, 等. 货运繁重公路正交异性板钢桥弧形切口的疲劳性能[J]. 中国公路学报, 2017, 30 (3): 104-112. doi: 10.3969/j.issn.1001-7372.2017.03.011ZHU Zhi-wen, HUANG Yan, XIANG Ze, et al. Fatigue performance of floorbeam cutout detail of orthotropic steel bridge on heavy freight transportation highway[J]. China Journal of Highway and Transport, 2017, 30 (3): 104-112. (in Chinese). doi: 10.3969/j.issn.1001-7372.2017.03.011 [3] 潘鹏, 李全旺, 周怡斌, 等. 某公路大桥车辆荷载调查与局部疲劳分析[J]. 土木工程学报, 2011, 44 (5): 94-100. https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201105013.htmPAN Peng, LI Quan-wang, ZHOU Yi-bin, et al. Vehicle survey and local fatigue analysis of a highway bridge[J]. China Civil Engineering Journal, 2011, 44 (5): 94-100. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201105013.htm [4] CHOTICKAI P, BOWMAN M D. Truck models for improved fatigue life predictions of steel bridges[J]. Journal of Bridge Engineering, 2006, 11 (1): 71-80. doi: 10.1061/(ASCE)1084-0702(2006)11:1(71) [5] HAIDER S W, HARICHANDRAN R S. Relating axle load spectra to truck gross vehicle weights and volumes[J]. Journal of Transportation Engineering, 2007, 133 (12): 696-705. doi: 10.1061/(ASCE)0733-947X(2007)133:12(696) [6] LAMAN J A, NOWAK A S. Fatigue-load models for girder bridges[J]. Journal of Structural Engineering, 1996, 122 (7): 726-733. doi: 10.1061/(ASCE)0733-9445(1996)122:7(726) [7] COHEN H, FU Gong-kang, DEKELBAB W, et al. Predicting truck load spectra under weight limit changes and its application to steel bridge fatigue assessment[J]. Journal of Bridge Engineering, 2003, 8 (5): 312-322. doi: 10.1061/(ASCE)1084-0702(2003)8:5(312) [8] OBRIEN E J, ENRIGHT B, GETACHEW A. Importance of the tail in truck weight modeling for bridge assessment[J]. Journal of Bridge Engineering, 2010, 15 (2): 210-213. doi: 10.1061/(ASCE)BE.1943-5592.0000043 [9] ZHAO Jian, TABATABAI H. Evaluation of a permit vehicle model using weigh-in-motion truck records[J]. Journal of Bridge Engineering, 2012, 17 (2): 389-392. doi: 10.1061/(ASCE)BE.1943-5592.0000250 [10] FIORILLO G, GHOSN M. Procedure for statistical categorization of overweight vehicles in a WIM database[J]. Journal of Transportation Engineering, 2014, 140 (5): 1-11. [11] LEAHY C, OBRIEN E J, ENRIGHT B, et al. Review of HL-93bridge traffic load model using an extensive WIM database[J]. Journal of Bridge Engineering, 2015, 20 (10): 1-8. [12] HAN W S, WU J, CAI C S, et al. Characteristics and dynamic impact of overloaded extra heavy trucks on typical highway bridges[J]. Journal of Bridge Engineering, 2014, 20 (2): 1-11. [13] 周泳涛, 鲍卫刚, 翟辉, 等. 公路钢桥疲劳设计荷载标准研究[J]. 土木工程学报, 2010, 43 (11): 79-85. https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201011014.htmZHOU Yong-tao, BAO Wei-gang, ZHAI Hui, et al. Study of standard fatigue design load for steel highway bridges[J]. China Civil Engineering Journal, 2010, 43 (11): 79-85. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201011014.htm [14] 尹兴. 工业化中后期地区超重车辆现状评估预测及标准疲劳车研究[D]. 广州: 广州大学, 2016.YIN Xing. Prediction ofoverweight vehicles and research on standard fatigue vehicle load in middle and late industrialized regions[D]. Guangzhou: Guangzhou University, 2016. (in Chinese). [15] CHEN B, ZHONG Z, XIE X. Site-specific fatigue load spectrum for urban bridges[C]∥TRB. 14th COTA International Conference of Transportation Professionals. Washington: TRB, 2014: 1501-1060. [16] 李星新, 任伟新, 钟继卫. 西南山区高速公路桥梁标准疲劳车辆荷载研究[J]. 振动与冲击, 2012 (15): 96-100. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201215021.htmLI Xing-xin, REN Wei-xin, ZHONG Ji-wei. Standard fatigue truck on montane speedway bridge[J]. Journal of Vibration and Shock, 2012, 31 (15): 96-100. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201215021.htm [17] 夏叶飞, 李峰峰, 顾煜, 等. 基于WIM的高速公路桥梁车辆疲劳荷载谱研究[J]. 公路交通科技, 2014, 31 (3): 56-64. doi: 10.3969/j.issn.1002-0268.2014.03.010XIA Ye-fei, LI Feng-feng, GU Yu, et al. Study on vehicular fatigue load spectrum expressway bridge based on WIM system[J]. Journal of Highway and Transportation Research and Development, 2014, 31 (3): 56-64. (in Chinese). doi: 10.3969/j.issn.1002-0268.2014.03.010 [18] 李松辉, 徐忠燕, 蒋含莞. 超重车辆对公路桥梁安全性的影响[J]. 公路交通科技, 2015, 32 (9): 74-79. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201509012.htmLI Song-hui, XU Zhong-yan, JIANG Han-wan. Influence of overweight vehicles on bridge safety[J]. Journal of Highway and Transportation Research and Development, 2015, 32 (9): 74-79. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201509012.htm [19] 孟书涛. 超载与我国现有公路工程技术水平的不适应性分析[J]. 公路交通科技, 2004, 21 (3): 137-140. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200403036.htmMENG Shu-tao. Theinadaptability analysis of overloading traffic with the level of highway engineering technology[J]. Journal of Highway and Transportation Research and Development, 2004, 21 (3): 137-140. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200403036.htm [20] 祝志文, 黄炎, 文鹏翔, 等. 随机车流下钢-UHPC组合正交异性桥面疲劳性能研究[J]. 中国公路学报, 2017, 30 (3): 200-209. doi: 10.3969/j.issn.1001-7372.2017.03.022ZHU Zhi-wen, HUANG Yan, WEN Peng-xiang, et al. Investigation onfatigue performance of orthotropic bridge deck with steel-UHPC composite system under random traffic flows[J]. China Journal of Highway and Transport, 2017, 30 (3): 200-209. (in Chinese). doi: 10.3969/j.issn.1001-7372.2017.03.022 [21] 李传习, 李游, 陈卓异, 等. 钢箱梁横隔板疲劳开裂原因及补强细节研究[J]. 中国公路学报, 2017, 30 (3): 121-131. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201703013.htmLI Chuan-xi, LI You, CHEN Zhuo-yi, et al. Fatigue cracking reason and detail dimension of reinforcement about transverse diaphragm of steel box girder[J]. China Journal of Highway and Transport, 2017, 30 (3): 121-131. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201703013.htm [22] ZHU Zhi-wen, HUANG Yan, CHEN Wei, et al. Investigation on base metal cracking on diaphragm cutout at self-anchored suspension bridges[C]∥TRB. The 4th Orthotropic Bridge Conference. Washington DC: TRB, 2015: 125-136. [23] XIANG Ze, ZHU Zhi-wen, HUANG Yan, et al. FEM analysis on fatigue cracking mechanism of diaphragm cutout in orthotropic steel decks[C]∥TRB. The 4th Orthotropic Bridge Conference. Washington DC: TRB, 2015: 291-302. [24] SHAO Xu-dong, YI Du-tao, HUANG Zheng-yu, et al. Basic performance of the composite deck system composed of orthotropic steel deck and ultrathin RPC layer[J]. Journal of Bridge Engineering, 2013, 18 (5): 417-428. [25] 王春生, 王雨竹, 崔冰, 等. 应力比对钢桥腹板间隙面外变形疲劳性能的影响试验[J]. 中国公路学报, 2017, 30 (3): 72-81. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201703008.htmWANG Chun-sheng, WANG Yu-zhu, CUI Bing, et al. Experiment on effect of stress ratio on out-of-plane distortioninduced fatigue performance of web gaps in steel bridges[J]. China Journal of Highway and Transport, 2017, 30 (3): 72-81. (in Chinese. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201703008.htm