Development of a Method for Assessing Metrological Traceability in 3D Pavement Texture Measurements
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 150, Issue 3
Abstract
Three-dimensional (3D) pavement texture measurement plays a significant role in helping engineers calculate pavement performance–related parameters, such as the international roughness index (IRI), texture depth (TD), and rutting depth index (RDI). However, in terms of measurement, no matter how accurate a measurement instrument is, measurement bias inevitably exists, creating a difference between the true values and the measured values. To solve this problem, a standardization method named metrological traceability has been proposed to standardize measurements by tracing the measured values to the national metrological standard. Metrological traceability is indispensable to the measurement field, and it is used in standardization for the 3D measurement of electronic elements and machine parts. Nevertheless, in the study of pavement, there is still a lack of metrological traceability for 3D pavement texture measurement. This study is dedicated to realizing metrological traceability for 3D pavement texture measurement. A metrological traceability chain for 3D pavement texture measurement is proposed, the key processes of the metrological traceability chain are described, and the measurement uncertainty is evaluated. In the metrological traceability chain, a high-accuracy system named the 3D Pavement Texture Meter based on the Interference Fringe (3D-PTMIF) is proposed as a tool for calibration with standard samples of pavement texture depths (SSPTDs). Then, common 3D pavement texture meters are calibrated with the SSPTDs. The results show that 3D pavement texture measurement can be standardized with the proposed metrological traceability chain.
Practical Applications
In terms of measurement, no matter how accurate a measurement instrument is, measurement bias inevitably exists, creating a difference between the true values and the measured values. To solve this problem, a standardization method named metrological traceability has been proposed to standardize measurements by tracing the measured values to the national metrological standard. Metrological traceability, which is used in standardization for the measurement, is indispensable to the measurement field. In the study of pavement, there is still a lack of metrological standards for 3D pavement texture measurement. This study aims to provide standards for 3D pavement texture measurement. In order to achieve this goal, a metrological traceability chain for 3D pavement texture measurement is proposed. The results show that 3D pavement texture measurement can be standardized with the proposed metrological traceability chain.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors thank the National Natural Science Foundation of China (NSFC) for support under Grant No. 52078273.
References
Andrea, P., M. Fabrizio, and S. Alessandro. 2019. Metrological traceability for digital sensors in smart manufacturing: Calibration of MEMS accelerometers and microphones at INRiM.” In Proc., 2019 IEEE Int. Workshop on Metrology for Industry 4.0 and Internet of Things (METROIND4.0&IOT), 371–375. New York: IEEE. https://doi.org/10.1109/METROI4.2019.8792906.
Athiappan, K., A. Kandasamy, M. Jinnah Sheik Mohamed, P. Parthiban, and S. Balasubramanian. 2021. “Prediction modeling of skid resistance and texture depth on flexible pavement for urban roads.” Mater. Today:. Proc. 52 (3): 923–929. https://doi.org/10.1016/j.matpr.2021.10.304.
Awed, A. M., E. W. Tarbay, S. M. El-Badawy, and A. M. Azam. 2022. “Performance characteristics of asphalt mixtures with industrial waste/by-product materials as mineral fillers under static and cyclic loading.” Road Mater. Pavement Des. 23 (2): 335–357. https://doi.org/10.1080/14680629.2020.1826347.
Cao-Thang, P., et al. 2018. “A study on calculation of rutting depth of pavement asphalt concrete layer in under Vietnam conditions.” Int. J. Appl. Eng. Res. 13 (Part 6): 5452–5457.
Chen, S. L., C. Lin, C. W. Tang, and H. A. Hsieh. 2022. “Evaluation of pavement roughness by the international roughness index for sustainable pavement construction in New Taipei City.” Sustainability 14 (12): 6982. https://doi.org/10.3390/su14126982.
Chu, C., L. Wang, and H. Xiong. 2022. “A review on pavement distress and structural defects detection and quantification technologies using imaging approaches.” J. Traffic Transp. Eng. 9 (2): 135–150. https://doi.org/10.1016/j.jtte.2021.04.007.
Chu, C., L. Wang, H. Yang, X. Tang, and Q. Chen. 2020a. “Calibration and system error evaluation of a high-accuracy 3D pavement profilometer based on interference fringe.” J. Instrum. 15 (8): P08003–P08003. https://doi.org/10.1088/1748-0221/15/08/P08003.
Chu, C., L. B. Wang, and H. Yang. 2020b. “An optimized fringe generator of 3D pavement profilometry based on laser interference fringe.” Opt. Lasers Eng. 136 (Jan): 106142. https://doi.org/10.1016/j.optlaseng.2020.106142.
Chu, C., Y. Wei, and H. Wang. 2023. “Improved 3D pavement texture reconstruction method based on interference fringe via optimizing the post-processing method.” Sensors 23 (10): 4660. https://doi.org/10.3390/s23104660.
Chu, C., H. Yang, and L. B. Wang. 2019. “Design of a pavement scanning system based on structured light of interference fringe.” Measurement 145 (Oct): 410–418. https://doi.org/10.1016/j.measurement.2019.02.058.
Dou, G. W. 2014. “Contactless metrological traceability technology of pavement texture depth.” J. Chang’An Univ. (Natl. Sci. Ed.) 34 (6): 70–78.
Hala, M. A., and M. E. Ali. 2013. “Automatic calibration system for electrical sourcing and measuring instruments.” In Proc., 12th Int. Conf. on Environment and Electrical Engineering (EEEIC 2013). New York: IEEE. https://doi.org/10.1109/EEEIC.2013.6549578.
ISO. 1995. Guide to the expression of uncertainty in measurement. Geneva: ISO.
JCGM (Joint Committee for Guides in Metrology). 2008. “International vocabulary of metrology—Basic and general concepts and associated terms (vim).” Chem. Int. - Newsmagazine for IUPAC 30 (6): 21–22. https://doi.org/10.1515/ci.2008.30.6.21.
Phillips, S., M. Krystek, C. Shakarji, and K. Summerhays. 2009. “Dimensional measurement traceability of 3D imaging data.” In Vol. 7239 of Proc., Three-Dimensional Imaging Metrology, 115–121. Bristol, UK: SPIE.
Sonko, O. 2009. “High accuracy three-dimensional shape measurements for supporting manufacturing industries.” Synthesiology 2 (2): 101–112. https://doi.org/10.5571/synth.2.101.
Tomiyama, K., H. Nakamura, H. Mashito, M. Jomoto, and S. Kameyama. 2021. “Field experiment for accuracy verification of the devices measuring international roughness index in true project: Five years report.” In Vol. 1075 of Proc., IOP Conf. Series: Materials Science and Engineering, 012012. Bristol, UK: IOP Publishing. https://doi.org/10.1088/1757-899X/1075/1/012012.
Yan, C., Y. Wei, Y. Xiao, and L. Wang. 2021. “Pavement 3D data denoising algorithm based on cell meshing ellipsoid detection.” Sensors 21 (7): 2130.
Zhang, X. 2012. “The application and thinking for the metrological traceability of inspection equipments used for high-way railway.” Railway Qual. Control 40 (2): 1006–9178. https://doi.org/10.3969/j.issn.1006-9178.2012.02.004.
Information & Authors
Information
Published In
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Oct 17, 2023
Accepted: Mar 18, 2024
Published online: Jun 10, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 10, 2024
ASCE Technical Topics:
- Calibration
- Construction engineering
- Construction management
- Continuum mechanics
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Gravels
- Infrastructure
- Mathematics
- Measurement (by type)
- Motion (dynamics)
- Parameters (statistics)
- Pavement condition
- Pavement rutting
- Pavement surface roughness
- Pavements
- Solid mechanics
- Standards and codes
- Statistics
- Transportation engineering
- Uncertainty principles
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.