Real-time monitoring for road-base quality with the aid of buried piezoelectric sensors

Author:

Cai Yuanqiang1,Ma Li1,Cao Zhigang1ORCID,Zhang Chunli2,Ding Guangya3ORCID,Dong Quanyang3,Geng Xueyu4,Yue Taotao5

Affiliation:

1. Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, China

2. Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province and Department of Engineering Mechanics, Zhejiang University, Hangzhou, China

3. College of Civil Engineering and Architecture, Wenzhou University, Wenzhou, China

4. School of Engineering (F332), The University of Warwick, Coventry, UK

5. China Railway 16 Bureau Group Beijing Metro Engineering Construction Co. Ltd., China Railway Group Ltd., Beijing, China

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.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Materials Science

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