Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (6): 1765-1772.doi: 10.13229/j.cnki.jdxbgxb.20221508

Previous Articles    

Road roughness identification method based on vehicle impulse response

Qing-xia ZHANG1(),Ji-lin HOU2(),Xin-hao AN2,Xiao-yang HU3,Zhong-dong DUAN3   

  1. 1.School of Civil Engineering，Dalian Minzu University，Dalian 116600，China
    2.Department of Construction Engineering，Dalian University of Technology，Dalian 116024，China
    3.School of Civil and Environmental Engineering，Harbin Institute of Technology，Shenzhen 518055，China
  • Received:2022-11-25 Online:2023-06-01 Published:2023-07-23
  • Contact: Ji-lin HOU E-mail:zhangqingxia@dlnu.edu.cn;houjilin@dlut.edu.cn

RICH HTML

 2   

PDF (PC)

174

Abstract:

Based on the vehicle impulse response， a method of pavement roughness identification using vehicle dynamic response was proposed. First， road roughness was taken as input and the equation of vehicle response computation based on the impulse response function was derived. Then， the impulse response function was discretized into the matrix form and a linear equation for road roughness identification was established based on the impulse response matrix. Furthermore， considering that the front and rear wheels experienced the same road roughness， the correlation matrix of the front and rear wheels was constructed， which can decrease the computational work of road roughness identification. Then， take the advantage of the continuity of the road roughness， the load shape function was used to approximate it and thus not only the unknown identification number was further reduced but also the robustness of method to noise was improved， which achieved the real time identification. At last， the effectiveness of the proposed method was verified by numerical simulation and field test.

Key words: road engineering, impulse response, vehicle dynamic response, road roughness identification, shape function

CLC Number: 

  • U416

Fig.1

Force diagram of a half-vehicle model"

Fig.2

Displacement correlation between front and rear wheels"

Fig.3

Shape function of unevenness curve"

Table 1

Natural frequency of vehicle"

模态阶数1234
频率/Hz1.2812.02812.40214.932

Fig.4

Road roughness curve"

Fig.5

Simulated vehicle acceleration response"

Fig.6

Identified road roughness"

Fig.7

Identification error"

Fig.8

Identification results using theoretical noise free response"

Fig.9

Identification results using noise polluted response"

Fig.10

Road roughness identification using denoised response"

Table 2

Identification errors of different methods"

方法理论响应含噪声响应去噪响应
直接法0.0121.5270.140
形函数法0.0690.1370.139

Table 3

Identification errors using"

噪声水平/%51525355070
误差/cm0.0870.1960.3200.4470.6380.895

Fig.11

Road roughness identification using noise polluted response via shape function method"

Fig.12

On-line identification resuils of road roughness"

Fig.13

Measured vehicle response"

Fig.14

On-line identification results of road roughness in field test"

1 秦旻. 基于平整度的沥青路面使用寿命预估研究[D]. 重庆: 重庆交通大学交通运输学院, 2010.
Qin Min. Research on service life prediction of asphalt pavement based on roughness[D]. Chongqing: School of Transportation, Chongqing Jiaotong University, 2010.
2 李杰, 郭文翠, 赵旗, 等. 基于车辆响应的路面不平度识别方法[J]. 吉林大学学报:工学版, 2019, 49(6): 1810-1817.
Li Jie, Guo Wen-cui, Zhao Qi, et al. Road roughness identification based on vehicle responses[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49(6): 1810-1817.
3 周宗淘, 张跃. 高速公路沥青路面平整度检测技术的应用研究[J]. 黑龙江交通科技, 2020, 43(2): 30-31.
Zhou Zong-tao, Zhang Yue. Research on the application of asphalt pavement flatness detection technology of expressway[J]. Heilongjiang Communications Technology, 2020, 43(2): 30-31.
4 贺慧涛. 激光检测仪在沥青路面平整度检测中的应用[J]. 交通世界, 2022(26): 52-54.
He Hui-tao. Application of laser detector in asphalt pavement flatness detection[J]. Transportation World, 2022(26): 52-54.
5 潘敏. 路面激光平整度检测设备在工程中的应用[J]. 运输经理世界, 2022(7): 131-133.
Pan Min. Application of laser pavement smoothness test equipment in engineering[J]. Transport Manager World, 2022(7): 131-133.
6 Cremean L B, Murray R M. Model-based estimation of off-highway road geometry using single-axis LADAR and inertial sensing[C]∥Proceedings 2006 IEEE International Conference on Robotics and Automation, Orlando, America, 2006: 1661-1666.
7 Zhao B Y, Nagayama T, Toyoda M, et al. Vehicle model calibration in the frequency domain and its application to large-scale IRI estimation[J]. Journal of Disaster Research, 2017, 12(3): 446-455.
8 Liu X D, Wang H X, Shan Y C, et al. Construction of road roughness in left and right wheel paths based on PSD and coherence function[J]. Mechanical Systems and Signal Processing, 2015, 60-61: 668-677.
9 Zhao B, Nagayama T, Xue K. Road profile estimation, and its numerical and experimental validation, by smartphone measurement of the dynamic responses of an ordinary vehicle[J]. Journal of Sound and Vibration, 2019,457: 92-117.
10 Kang S, Kim J, Kim G. Road roughness estimation based on discrete Kalman filter with unknown input[J]. Vehicle System Dynamics, 2019, 57(10): 1530-1544.
11 Amiri A K, Bucher C. Derivation of a new parametric impulse response matrix utilized for nodal wind load identification by response measurement[J]. Journal of Sound and Vibration, 2015, 344: 101-113.
12 Huang D W, Gao Y D, Yu X Y, et al. The Feature extraction of impact response and load reconstruction based on impulse response theory[J]. Machines, 2022, 10(7): No. 524.
13 Liu J, Sun X S, Han X, et al. A novel computational inverse technique for load identification using the shape function method of moving least square fitting[J]. Computers & Structures, 2014,144: 127-137.
14 Zhong J W, Xiang Z R, Li C. Synchronized assessment of bridge structural damage and moving force via truncated load shape function[J]. Applied Sciences-Basel, 2022, 12(2): No. 691.
15 李世武, 姚雪萍, 孙文财, 等. 体现悬架特性的车辆载荷状态监测技术[J]. 吉林大学学报:工学版, 2014, 44(2): 335-342.
Li Shi-wu, Yao Xue-ping, Sun Wen-cai, et al. Vehicle load state monitoring technology reflecting suspension characteristics[J]. Journal of Jilin University (Engineering and Technology Edition), 2014, 44(2): 335-342.
16 侯吉林, 欧进萍. 基于局部脉冲响应的约束子结构修正法[J]. 工程力学, 2009, 26(11): 23-30.
Hou Ji-lin, Jin-ping Ou. Isolated substructure model updating method based on local impulse response[J]. Engineering Mechanics, 2009, 26(11): 23-30.
17 Pan C D, Yu L, Liu H L. Identification of moving vehicle forces on bridge structures via moving average Tikhonov regularization[J]. Smart Materials and Structures, 2017, 26(8): No. 085041.
18 张青霞, 段忠东, Jankowski Lukasz, 等. 基于形函数方法快速识别结构动态荷载的试验验证[J]. 振动与冲击, 2011, 30(9): 98-102, 154.
Zhang Qing-xia, Duan Zhong-dong, Jankowski Lukasz, et al. Experimental verification of fast identification of structural dynamic loads based on shape function method[J]. Journal of Vibration and Shock, 2011, 30(9): 98-102, 154.
19 侯吉林, 欧进萍, Jankowski Lukasz. 约束子结构损伤识别的时序方法研究与试验[J]. 工程力学, 2013, 30(4): 129-135.
Hou Ji-lin, Jin-ping Ou, Jankowski Lukasz. Research and experiment of time series method for damage identification of constrained substructure[J]. Engineering Mechanics, 2013, 30(4): 129-135.
20 Zhang Q X, Hou J L, Hu X Y, et al. Vehicle parameter identification and road roughness estimation using vehicle responses measured in field tests[J]. Measurement, 2022, 199: No.111348.
[1] Liu YANG,Chuang-ye WANG,Meng-yan WANG,Yang CHENG. Traffic flow characteristics of six⁃lane freeways with a dedicated lane for automatic cars [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2043-2052.
[2] Zheng-feng ZHOU,Xiao-tao YU,Ya-le TAO,Mao ZHENG,Chuan-qi YAN. High-temperature performance evaluation of resin and elastomer high viscosity asphalt based on grey correlation analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2078-2088.
[3] Tao MA,Yuan MA,Xiao-ming HUANG. Optimal combination of key parameters of intelligent compaction based on multiple nonlinear regression [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2067-2077.
[4] Chun-di SI,Ya-ning CUI,Zhong-yin XU,Tao-tao FAN. Meso⁃mechanical behavior analysis of asphalt bridge deck pavement after interlayer bonding failure [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1719-1728.
[5] Yan LI,Jiu-peng ZHANG,Zi-xuan CHEN,Guo-jing HUANG,Pei WANG. Evaluation of asphalt pavement performance based on PCA⁃PSO⁃SVM [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1729-1735.
[6] Xiao-kang ZHAO,Zhe HU,Jiu-peng ZHANG,Jian-zhong PEI,Ning SHI. Research progress in intelligent monitoring of pavement icing based on optical fiber sensing technology [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1566-1579.
[7] Bing HUI,Xin-yi YANG,Le-yang ZHANG,Yang LI. Influence of detecting track offset on calculation error of asphalt pavement wearing [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1756-1764.
[8] Zhuang-zhuang LIU,Wen-qing ZHENG,Jian ZHENG,Yi-zheng LI,Peng-yu JI,Ai-min SHA. Pavement surface temperature monitoring method based on gridding approach [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1746-1755.
[9] Sui-ning ZHENG,Rui HE,Tian-yu LU,Zi-yi XU,Hua-xin CHEN. Preparation and evaluation of RET/rubber composite modified asphalt and asphalt mixture [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(5): 1381-1389.
[10] Hai-bin WEI,Shuan-ye HAN,Hai-peng BI,Qiong-hui LIU,Zi-peng MA. Intelligent sensing road active ice and snow removal system and experimental technology [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(5): 1411-1417.
[11] Fan YANG,Chen-chen LI,Sheng LI,Hai-lun LIU. Numerical simulation of continuously reinforced concrete pavement with double⁃layer reinforcement under effect of temperature shrinkage [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1122-1132.
[12] Bo-wen GUAN,Wen-jin DI,Fa-ping WANG,Jia-yu WU,Shuo-wen ZHANG,Zhi-xun JIA. Damage of concrete subjected to sulfate corrosion under dry⁃wet cycles and alternating loads [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1112-1121.
[13] Zhuang-zhuang LIU,You-wei ZHANG,Peng-yu JI,Abshir Ismail Yusuf,Lin LI,Ya-zhen HAO. Study on heat transfer characteristics of electric heating snow melting asphalt pavement [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 523-530.
[14] Hai-bin WEI,Zi-peng MA,Hai-peng BI,Han-tao LIU,Shuan-ye HAN. Conductive rubber composite pavement paving technology based on mechanical response analysis method [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 531-537.
[15] Xu CHEN,Chao-fei CAO,Jing SHANG,Ming-xing HUANG,Chang-fa AI,Dong-ya Ren. Evaluation of influence of gradation segregation on pavement moisture damage under action of dynamic and static water environment [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 210-219.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd