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Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors
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Cai, Yuanqiang, Ma, Li, Cao, Zhigang, Zhang, Chunli, Ding, Guangya, Dong, Quanyang, Geng, Xueyu and Yue, Taotao (2021) Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors. Journal of Intelligent Material Systems and Structures, 32 (18-19). pp. 2231-2243. doi:10.1177/1045389x21990883 ISSN 1530-8138.
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WRAP-real-time-monitoring-road-base-quality-aid-buried-piezoelectric-sensors-Geng-2021.pdf - Accepted Version - Requires a PDF viewer. Download (1239Kb) | Preview |
Official URL: https://doi.org/10.1177/1045389x21990883
Abstract
The road-base usually deteriorate during service time due to factors such as cyclical traffic loads and road-base fouling. Currently the monitoring method for road-base quality is quite limited. This paper proposes a real-time Monitoring method for Road-Base Quality (MRBQ) based on a soil dynamic model and piezoelectric sensors buried in road-base. The soil dynamic model was extended with a piezoelectric equation to calculate the voltage in the road-base generated by a moving traffic load. Then, a model test was conducted to measure the output voltage of the piezoelectric sensors buried in the road-base. Finally, the road-base modulus was back-calculated through the soil dynamic model with the measured voltage. The back-calculated modulus was compared with the modulus measured by resonance column test (RCT) to validate this method. The unique relationship between the peak voltage and the road-base modulus at various depths was identified for different traffic load amplitudes and speeds, and the feasibility and accuracy of the MRBQ was demonstrated. This study reveals that the sensitivity of the piezoelectric sensors can reach 2 V/MPa, and the error to measure the road-base modulus is less than 20%. The proposed MRBQ demonstrates a good application potential in health monitoring of transportation facilities.
| Item Type: | Journal Article | |||||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||
| SWORD Depositor: | Library Publications Router | |||||||||
| Library of Congress Subject Headings (LCSH): | Traffic flow -- Measurement, Detectors, Piezoelectric devices, Control engineering, Traffic surveys -- Data processing | |||||||||
| Journal or Publication Title: | Journal of Intelligent Material Systems and Structures | |||||||||
| Publisher: | SAGE Publications | |||||||||
| ISSN: | 1530-8138 | |||||||||
| Official Date: | 1 November 2021 | |||||||||
| Dates: |
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| Volume: | 32 | |||||||||
| Number: | 18-19 | |||||||||
| Page Range: | pp. 2231-2243 | |||||||||
| DOI: | 10.1177/1045389x21990883 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Reuse Statement (publisher, data, author rights): | Cai, Yuanqiang, Ma, Li, Cao, Zhigang, Zhang, Chunli, Ding, Guangya, Dong, Quanyang, Geng, Xueyu and Yue, Taotao (2021) Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors. Journal of Intelligent Material Systems and Structures . 1045389X2199088. doi:10.1177/1045389x21990883 Copyright © 2021 by SAGE Publications. Reprinted by permission of SAGE Publications. | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Date of first compliant deposit: | 24 February 2021 | |||||||||
| Date of first compliant Open Access: | 24 February 2021 | |||||||||
| RIOXX Funder/Project Grant: |
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