Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (6): 1799-1808.doi: 10.13229/j.cnki.jdxbgxb.20221208

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Key factors affecting smart aggregate perception and data analysis methods

Ning WANG1(),Tao MA1,Feng CHEN1(),Yong-qiang FU2   

  1. 1.School of Transportation,Southeast University,Nanjing 211189,China
    2.Lihu Street Office,Binhu District,Wuxi 214000,China
  • Received:2022-09-18 Online:2023-06-01 Published:2023-07-23
  • Contact: Feng CHEN E-mail:wangning11@seu.edu.cn;fengc@seu.edu.cn

Abstract:

In order to investigate the influences of factors such as load form, packaging material and shape characteristics on the monitoring results of the SmartRock sensor, so as to provide an effective way for evaluation of the physical and mechanical properties of the mixture media based on sensor parameters. Firstly, the indoor secondary calibration tests of the SmartRock sensor were carried out; secondly, 3D finite element numerical modelling of the embedded sensor-mixture medium coupling were used to study the matching error. In addition, the gyratory compaction and unconfined compressive strength tests of cement stabilized macadams with the SmartRock sensor were performed, and the sensor responses were analyzed. The results show that the stress response of SmartRock under concentrated load is much greater than that of a uniform load; provided the ratio of sensor height to bottom side length H/D is less than 0.3 and the ratio of the sensor package material to the modulus of the surrounding medium Ep/Em is greater than 5, a low and stable matching error can be achieved; in addition, the evolution of the compaction degree and strength of the mixture can be characterized by the dispersion coefficient Sv of the stress response of SmartRock.

Key words: road engineering, cement stabilized aggregates, intelligent sensing, matching errors, embedded sensor

CLC Number: 

  • U416.2

Fig.1

SmartRock sensor and wireless antenna"

Fig.2

Schematic diagram of piezoresistive pressure sensor"

Fig.3

SmartRock sensor calibration test"

Fig.4

SmartRock sensor calibration device"

Fig.5

External load curve and voltage curve at SmartRock output for different contact areas"

Fig.6

Schematic diagram of different load forms acting on sensor surface"

Fig.7

3D finite element model and meshing of mixed media-embedded sensor coupling"

Fig.8

Matching error curves for different modulus ratios between sensor and mixture media"

Fig.9

Non-uniform stress distribution on the surface of embedded sensor"

Fig.10

Matching error curves for different ratios of sensor height to bottom side length"

Fig.11

Cement stabilized aggregates grading curve"

Fig.12

Gyratory compaction and unconfined compressive strength test based on smartRock sensor"

Fig.13

Relative compactness of the mixture and Smartrock stress response curves during gyratory compaction"

Fig.14

Fluctuation analysis of SmartRock stress response during gyratory compaction"

Fig.15

Axial load and SmartRock stress response curves during the unconfined compressive strength test"

Fig.16

Fluctuation analysis of SmartRock stress response during unconfined compressive strength test"

1 《中国公路学报》编辑部. 中国路面工程学术研究综述·2020[J]. 中国公路学报, 2020, 33(10): 1-66.
Editorial department of China highway journal of highway and transport. Summary of academic research on pavement engineering in China·2020[J]. China Highway Journal, 2020, 33(10): 1-66.
2 张立祥, 罗强, 张良,等. 土压力传感器在硬土介质中的非线性响应分析[J]. 岩土力学, 2013, 34(12): 3633-3640.
Zhang Li-xiang, Luo Qiang, Zhang Liang, et al. Nonlinear response analysis of earth pressure sensor in hard soil[J]. Geotechnical Mechanics, 2013, 34(12): 3633-3640.
3 刘荣梅, 赵振, 白树伟. 埋入式光纤智能复合材料简化界面的应变传递分析[J]. 材料导报, 2021, 35(20): 20161-20165.
Liu Rong-mei, Zhao Zhen, Bai Shu-wei. Strain transfer analysis at simplified Interface of embedded optical fiber intelligent composites[J]. Materials Review, 2021, 35(20): 20161-20165.
4 Xiang P, Wang H. Optical fibre-based sensors for distributed strain monitoring of asphalt pavements[J]. International Journal of Pavement Engineering, 2018, 19(9): 842-850.
5 刘朝晖, 夏红卫, 柳力. 埋入式传感器与沥青混合料的交互影响研究[J]. 长沙理工大学学报:自然科学版, 2021, 18(1): 1-6.
Liu Zhao-hui, Xia Hong-wei, Liu Li. Interaction between embedded sensors and asphalt mixture[J]. Journal of Changsha University of Science and Technology (Natural Science Edition), 2021, 18(1): 1-6.
6 谭忆秋, 董泽蛟, 田庚亮, 等. 光纤光栅传感器与沥青混合料协同变形评价方法[J]. 土木建筑与环境工程, 2009, 31(2): 100-104.
Tan Yi-qiu, Dong Ze-jiao, Tian Geng-liang, et al. Evaluation method for synergistic deformation of fiber grating sensor and asphalt mixture[J]. Civil Engineering and Environmental Engineering, 2009, 31(2): 100-104.
7 郑钟铭, 国旗, 吴娜,等. 基于波片棱镜组合能量调节的切趾光纤光栅[J]. 吉林大学学报:信息科学版, 2020, 38(5): 523-528.
Zheng Zhong-ming, Guo Qi, Wu Na, et al. Fiber bragg grating with cut toe based on waveplate prisms combined energy regulation[J]. Journal of Jilin University(Information Science Edition), 2020, 38(5): 523-528.
8 张浩, 李俊杰, 康飞. 基于压电智能骨料的混凝土梁裂缝损伤监测研究[J]. 振动与冲击, 2021, 40(21): 215-222.
Zhang Hao, Li Jun-jie, Kang Fei. Research on crack damage monitoring of concrete beams based on piezoelectric smart aggregate[J]. Vibration and Impact, 2021, 40(21): 215-222.
9 张楠, 霍羽. 煤矿环境下人员移动无线传感器节点协同定位算法[J]. 吉林大学学报:工学版, 2022, 52(5):1168-1173.
Zhang Nan, Huo Yu. Collaborative location algorithm of personnel mobile wireless sensor nodes in coal mine environment[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(5):1168-1173.
10 Dan H C, Yang D, Liu X, et al. Experimental investigation on dynamic response of asphalt pavement using smartrock sensor under vibrating compaction loading[J]. Construction and Building Materials, 2020, 247: No.118592.
11 Wang X, Shen S, Huang H, et al. Characterization of particle movement in superpave gyratory compactor at meso-scale using smartrock sensors[J]. Construction and Building Materials, 2018, 175: 206-214.
12 Wang N, Han T, Cheng H, et al. Monitoring structural health status of asphalt pavement using intelligent sensing technology[J]. Construction and Building Materials, 2022, 352: No. 129025.
13 侯爽, 雷晋芳, 欧进萍. 基于压电智能骨料的沥青混凝土路面车辆动态荷载监测[J]. 振动与冲击, 2014, 33(4): 42-47.
Hou Shuang, Lei Jin-fang, Jin-ping Ou. Dynamic vehicle load monitoring of asphalt concrete pavements based on piezoelectric smart aggregates[J]. Vibration and Impact, 2014, 33(4): 42-47.
14 Asadi P, Mehrabi H, Asadi A, et al. Deep convolutional neural networks for pavement crack detection using an inexpensive global shutter RGB-D sensor and ARM-based single-board computer[J]. Transportation Research Record, 2021, 2675(9): 885-897.
15 Pan Y, Zhang X, Cervone G, et al. Detection of asphalt pavement potholes and cracks based on the unmanned aerial vehicle multispectral imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(10): 3701-3712.
16 Di Graziano A, Marchetta V, Cafiso S. Structural health monitoring of asphalt pavements using smart sensor networks: a comprehensive review[J]. Journal of Traffic and Transportation Engineering (English Edition), 2020, 7(5): 639-651.
17 Rys D, Burnos P. Study on the accuracy of axle load spectra used for pavement design[J]. International Journal of Pavement Engineering, 2022, 23(11): 3706-3715.
18 Al Khateeb L, Tang T, Erkens S, et al. Effect of fiber bragg grating sensors installation on pavement responses[C]∥Advances in Materials and Pavement Performance Prediction, Florida, USA, 2018: 79-82.
19 Chen C, Chandra S, Han Y, et al. Deep learning-based thermal image analysis for pavement defect detection and classification considering complex pavement conditions[J]. Remote Sensing, 2021, 14(1): 106-123.
20 Skar A, Levenberg E, Andersen S, et al. Analysis of a moving measurement platform based on line profile sensors for project-level pavement evaluation[J]. Road Materials and Pavement Design, 2021, 22(9): 2069-2085.
21 Cheng Z, Zhang D, Xie S, et al. Smartrock-based research on gyratory locking point for stone mastic asphalt mixture[J]. Buildings, 2022, 12(2): 97-113.
22 Wang N, Chen F, Ma T, et al. Compaction performance of cold recycled asphalt mixture using smartrock sensor[J]. Automation in Construction, 2022, 140: No. 104377.
23 卢鹏. 新型MEMS压阻式压力传感器的设计[D]. 重庆: 电子科技大学机械与电器工程学院,2021.
Lu Peng. Design of a new MEMS piezoresistive pressure sensor[D]. Chongqing: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology, 2021.
24 曾辉. 岩土应力传感器匹配系数的等效性和真实性[C]∥水电与矿业工程中的岩石力学问题——中国北方岩石力学与工程应用学术会议文集, 郑州, 中国, 1991: 796-803.
25 曾辉, 余尚江. 岩土压力传感器匹配误差的特性[J]. 岩土力学, 2004, 25(12): 2003-2006.
Zeng Hui, Yu Shang-jiang. Characterization of matching errors in geotechnical pressure sensors [J]. Geotechnics, 2004, 25(12): 2003-2006.
26 朱元广, 刘泉声, 蒋景东,等. 水泥砂浆体中三向压力传感器的测量特性[J]. 岩石力学与工程学报, 2015, 34(9): 1877-1885.
Zhu Yuan-guang, Liu Quan-shing, Jiang Jing-dong, et al. Measurement characteristics of three-way pressure sensors in cement mortar bodies[J]. Journal of Rock Mechanics and Engineering, 2015, 34(9): 1877-1885.
27 . 公路工程沥青及沥青混合料试验规程 [S].
28 Butcher M. Determining gyratory compaction characteristics using servopac gyratory compactor[J]. Transportation Research Record, 1998, 1630(1): 89-97.
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