Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (2): 583-596.doi: 10.13229/j.cnki.jdxbgxb20200018

Previous Articles    

Multi⁃vehicle bridge weigh⁃in⁃motion algorithm

Ya-feng GONG1(),Jia-xiang SONG1,Guo-jin TAN1(),Hai-peng BI1,Yang LIU2,3,4,Cheng-xin SHAN5   

  1. 1.College of Transportation,Jilin University,Changchun 130022,China
    2.China Communications Second Navigation Engineering Bureau Co. ,Ltd. ,Wuhan 430040,China
    3.Changda Bridge Construction Technology Transportation Industry Key Laboratory,Wuhan 431400,China
    4.Transportation Infrastructure Intelligent Manufacturing R&D Center for Transportation Infrastructure,Wuhan 431400,China
    5.Changchun Airport Xiangyue Investment Co. ,Ltd. ,Changchun 130000,China
  • Received:2020-01-07 Online:2021-03-01 Published:2021-02-09
  • Contact: Guo-jin TAN E-mail:gongyf@jlu.edu.cn;tgj@jlu.edu.cn

Abstract:

At present, the research on commercial bridge weigh-in-motion (BWIM) system was mainly focused on the one-dimensional BWIM system. Most of them only consider the situation of a single vehicle crossing the bridge, and the phenomenon of multiple vehicles crossing the bridge in actual traffic was common. Aiming at this situation, a multi-vehicle dynamic weighing algorithm was proposed. Based on the Moses axle weight recognition algorithm, based on the transverse bridge's dynamic response line and bridge bending moment influence surface, the vehicle information such as the lateral position and axle weight of the single and multiple vehicles crossing the bridge were identified, and the finite element was finally weighed by the bridge dynamics Simulation analysis is performed to study the reliability of the algorithm under different working conditions such as single vehicle crossing the bridge, two vehicles crossing the bridge and three vehicles crossing the bridge. The results shows that: under the conditions of single vehicle crossing the bridge, two vehicles crossing the bridge, and three vehicles crossing the bridge, with the increase of the number of vehicles, the recognition accuracy slightly decreases, the maximum error of the total vehicle weight recognition is about 13%, and the lateral position recognition The error is about 9%, and the recognition accuracy meets the actual needs of the project. The algorithm can identify the lateral position and axle weight of the vehicle when multiple vehicles cross the bridge, and has the potential to develop into a commercial BWIM system.

Key words: bridge engineering, bridge weigh-in-motion, dynamic response line, Moses algorithm

CLC Number: 

  • U446.2

Fig.1

Sensor layout of simply supported beam bridge with n main beams"

Fig.2

Simple supported beam bridge model"

Fig.3

Vehicle model diagram"

Table 1

Calibration car parameter list"

参数数值参数数值
ps1,ps2/(N·m-1)2.135×106ps3,ps4/(N·m-1)1.215×106
ns1,ns2/(N·s·m-1)1.35×104ns3,ns4/(N·s·m-1)1.98×104
pt1,pt2/(N·m-1)1.78×106pt3,pt4/(N·m-1)2.29×106
nt1,nt2/(N·s·m-1)2.01×103nt3,nt4/(N·s·m-1)2.03×103
mt1,mt2/kg750mt3,mt4/kg500
Iv/(kg·m21.38×105Ir/(kg·m21.52×104
r1/m2r2/m2
r3/m0.95mv/kg12?500

Table 2

Roughness coefficient table for standard pavement"

路面等级路面不平整度系数/10-6m3
下限上限几何平均
A3216
B3212864
C128512256
D5122 0481 024
E2 0488 1924 096
F8 19232 76816 384
G32 768131 07265 536
H131 072262 144

Fig.4

Moment affecting surface of simple supported girder bridge midspan"

Fig.5

Transverse bridge dynamic response surface at different lateral positions"

Fig.6

Moment affecting surface of three-lane simply supported girder bridge"

Fig.7

Cross-bridge dynamic response lines of three-lane simply-supported beams in different lateral positions"

Table 3

Vehicle information list"

车辆编号类型轴距/m前轴/t后轴/t总重/t
1两轴车4.275.86.712.5
2两轴车4.277.08.015.0
3两轴车4.278.39.517.8
4两轴车4.279.410.620.0
5两轴车4.274.85.710.5
6两轴车4.2710.812.223.0

Fig.8

Working conditions of bicycle crossing the bridge"

Fig.9

Bicycle crossing recognition results"

Fig.10

Two vehicles crossing bridge in same direction"

Fig.11

Two vehicles crossing bridge in opposite directions"

Fig.12

Recognition results of two vehicles crossing bridge in same direction"

Fig.13

Recognition results of two vehicles crossing bridge opposite each other"

Fig.14

Three vehicles crossing bridge in same direction"

Fig.15

Recognition results of three vehicles crossing bridge in same direction"

1 Moses F. Weigh-in-motion system using instrumented Bridges[J]. Transportation Engineering Journal, 1979, 105(3): 233-249.
2 Peters R J. Axway―a system to obtain vehicle axle weights[J]. Australia Road Research, 1984, 12(2): 17-29.
3 Peters R J. An unmanned and undetectable highway speed vehicle weighing system[J]. Australian Road Research Board Proceedings, 1986, 1(1): 70-83.
4 Commission European. Weight-in-motion of axles and vehicles for Europe (WAVE): general report[R]. Paris: LCPC, 2001.
5 Commission European. Weight-in-motion of axles and vehicles for Europe (WAVE): report of work package 1.2-Bridge WIM systems (B-WIM)[R]. Dublin: University College Dublin, 2001.
6 Jacob B, O'Brien E J. Weigh-in-motion: recent developments in Europe[C]∥4th International Conference on Weigh-In-Motion, Taipei, 2005: 90-94.
7 Rowley C W, Gonz A A, O'Brien E J, et a1. Comparison of conventional and regularized bridge weigh-in-motion algorithms[C]∥5th International Conference on Weigh-in-Motion, Paris, 2008: 12-13.
8 王林军. 正则化方法及其在动态载荷识别中的应用[D]. 长沙: 湖南大学机械与载运工程学院, 2011.
Wang Lin-jun. Regularization method and its application in dynamic load identification[D]. Changsha: School of Mechanical and Transportation Engineering, Hunan University, 2011.
9 龙波. 移动车辆轴重识别MOSES算法在宽桥中的应用研究[D]. 长沙: 湖南大学土木工程学院, 2014.
Long Bo. Application of MOSES algorithm for axle weight identification of moving vehicles in wide bridges[D]. Changsha: School of Civil Engineering, Hunan University, 2014.
10 邓露, 施海, 何维, 等. 基于虚拟简支梁法的桥梁动态称重研究[J]. 振动与冲击, 2018, 37(15): 209-215.
Deng Lu, Shi Hai, He Wei, et al. Research on dynamic weighing of bridges based on virtual simply supported beam method[J]. Vibration and Shock, 2018, 37(15): 209-215.
11 Zolghadri N, Halling M W, Johnson N, et al. Field verification of simplified bridge weigh-in-motion techniques[J]. Journal of Bridge Engineering, 2016, 21(10): 4016063.
12 Quilligan M. Bridge weigh-in-motion: development of a 2-D multi-vehicle algorithm[J]. Trita-BKN Bulletin, 2003, 1(1): 23-35.
13 刘洋. 基于Moses算法的单车及多车动态称重算法研究[D]. 长春: 吉林大学交通学院, 2019.
Liu Yang. Study on the BWIM algorithm of a vehicle or multi-vehicles based on the Moses algorithm[D]. Changchun: College of Transportation, Jilin University, 2019.
14 Zhao H, Uddin N, O'Brien E J, et al. Identification of vehicular axle weights with a bridge weigh-in-motion system considering transverse distribution of wheel loads[J]. Journal of Bridge Engineering, 2013, 19(3): 04013008.
15 Tikhonov A N, Arsenin V Y. Solutions of ill-posed problems[J]. Mathematics of Computation, 1977, 32(144): 1-258.
16 汤海燕, 蔡晶. 桥梁结构影响面与影响线的比较研究[C]∥江苏省力学学会青年力学论坛, 南京, 2005: 104-108.
17 李希. 点云数据处理及规则曲面拟合[D]. 太原: 中北大学计算机科学与技术学院, 2017.
Li Xi. Point cloud data processing and regular surface fitting[D]. Taiyuan: College of Computer Science and Technology, North University of China, 2017.
18 刘福寿. 基于车桥耦合振动的混凝土简支梁桥动力特性研究[D]. 长春: 吉林大学交通学院, 2009.
Liu Fu-shou. Study on the dynamic characteristics of a simply supported concrete beam bridge based on vehicle-bridge coupling vibration[D]. Changchun: College of Transportation, Jilin University, 2009.
19 Huang D, Wang T L. Impact analysis of cable-stayed bridge[J].Computers and Structures, 1992, 43(5): 897-908.
20 谭国金, 刘子煜, 魏海斌, 等. 偏心直线预应力筋简支梁自振频率计算方法[J]. 吉林大学学报: 工学版, 2016, 46(3): 798-803.
Tan Guo-jin, Liu Zi-yu, Wei Hai-bin, et al. Calculation method of natural vibration frequency of simply supported beam with eccentric linear prestressed tendons[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(3): 798-803.
21 宫亚峰, 何钰龙, 谭国金, 等. 三跨独柱连续曲线梁桥抗倾覆稳定性分析[J]. 吉林大学学报: 工学版, 2018, 48(1): 113-120.
Gong Ya-feng, He Yu-long, Tan Guo-jin, et al. Three-span single-column continuous curve beam bridge anti-overturning stability analysis[J]. Journal of Jilin University (Engineering and Technology Edition), 2018, 48(1): 113-120.
[1] Qing-wen KONG,Guo-jin TAN,Long-lin WANG,Yong WANG,Zhi-gang WEI,Han-bing LIU. Analysis of free vibration characteristics of cracked box girder bridge based on finite element method [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 225-232.
[2] Hua CHEN,Yao-jia CHEN,Bin XIE,Peng-kai WANG,Lang-ni DENG. Interface failure mechanism and bonding strength calculation of CFRP tendons bonded anchorage system [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1698-1708.
[3] Ya-feng GONG,Jia-xiang SONG,Hai-peng BI,Guo-jin TAN,Guo-hai HU,Si-yuan LIN. Static test and finite element analysis of scale model of fabricated box culvert [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1728-1738.
[4] Hao GAO,Jun-jie WANG,Hui-jie LIU,Jian-ming WANG. Design criterion and applied devices for controlled seismic behavior of continuous girder bridges [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1718-1727.
[5] Qian-hui PU,Jing-wen LIU,Gang-yun ZHAO,Meng YAN,Xiao-bin LI. Theoretical analysis of bearing capacity of concrete eccentric compressive column reinforced by HTRCS [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 606-612.
[6] Yun-long ZHANG,Yang-yang GUO,Jing WANG,Dong LIANG. Natural frequency and mode of vibration of steel⁃concrete composite beam [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 581-588.
[7] Bo-xin WANG,Hai-tao YANG,Qing WANG,Xin GAO,Xiao-xu CHEN. Bridge vibration signal optimization filtering method based on improved CEEMD⁃multi⁃scale permutation entropy analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 216-226.
[8] Miao ZHANG,Yong-jiu QIAN,Fang ZHANG,Shou-qin ZHU. Experimental analysis of spatial force performance of concrete-reinforced stone arch bridge based on enlarged section method [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 210-215.
[9] Yi JIA,Ren-da ZHAO,Yong-bao WANG,Fu-hai LI. Sensitivity analysis of viscous damper parameters for multi⁃span and long⁃unit continuous girder bridges [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 1871-1883.
[10] Chun-ling ZHONG,Dong LIANG,Yun-long ZHANG,Jing WANG. Calculation of natural vibration frequency of simply supported beam strengthened by external prestressing [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 1884-1890.
[11] Lun-hua BAI,Rui-li SHEN,Xing-biao ZHANG,Lu WANG. In-plane stability of self-anchored suspension bridge [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(5): 1500-1508.
[12] Jin⁃gang ZHAO,Ming ZHANG,Yu⁃lin ZHAN,Ming⁃zhi XIE. Damage criterion of reinforced concrete pier based on plastic strain energy density [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1124-1133.
[13] Shi⁃cheng WAN,Qiao HUANG,Jian GUAN,Zhao⁃yuan GUO. Strengthening of continuous steel⁃concrete composite beams in negative moment region using prestressed carbon fiber⁃reinforced polymer plates [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1114-1123.
[14] Wan⁃heng LI,Lin SHEN,Shao⁃peng WANG,Shang⁃chuan ZHAO. Damage assessment of bridge construction based onmulti⁃stage subregion mobile test [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(3): 773-780.
[15] HUI Ying-xin,MAO Ming-jie,LIU Hai-feng,ZHANG Shang-rong. Influence of structural seismic response of bridges crossing active fault [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1725-1734.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!