Field validation of road roughness evaluation using in-pavement strain sensors

Z. Zhang; F. Deng; Y. Huang; R. Bridgelall

doi:10.1117/12.2219297

20 April 2016 Field validation of road roughness evaluation using in-pavement strain sensors

Z. Zhang, F. Deng, Y. Huang, R. Bridgelall

Proceedings Volume 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016; 98031E (2016) https://doi.org/10.1117/12.2219297
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

Most transportation agencies now collect pavement roughness data using the inertial profilers, which requires instrumented vehicles and technicians with specialized training to interpret the results. The extensive labor requirements of the profiling activities limit data collection for portions of the national highway system to at most once per year, resulting in outdated roughness data for decision making of maintenance needs. In this paper, a real-time roughness evaluation method was developed by linking the output of durable in-pavement strain sensors to road roughness level. The durable in-pavement sensors will continuously provide information of road roughness in real time after they are installed and calibrated during the road construction until the service life of the associated pavement. Field tests validated the developed strain method by comparison with standard inertial profiling method and the connected-vehicle method. The comparison of the results from the field tests approves the effectiveness of the developed road roughness evaluation method using in-pavement strain sensors, which can be further applied practically for needed concrete pavements.

Citation Download Citation

Z. Zhang, F. Deng, Y. Huang, and R. Bridgelall "Field validation of road roughness evaluation using in-pavement strain sensors", Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98031E (20 April 2016); https://doi.org/10.1117/12.2219297

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