Top > JDR > High Spatial Resolution Survey Using Frequency-Shifted Feedbac ...

single-dr.php

JDR Vol.12 No.3 pp. 546-556
(2017)
doi: 10.20965/jdr.2017.p0546

Paper:

Views over last 60 days: 871

High Spatial Resolution Survey Using Frequency-Shifted Feedback Laser for Transport Infrastructure Maintenance

Takeharu Murakami†, Norihito Saito, Yuichi Komachi, Kotaro Okamura, Takashi Michikawa, Michio Sakashita, Shigeru Kogure, Kiwamu Kase, Satoshi Wada, and Katsumi Midorikawa

RIKEN Center for Advanced Photonics
2-1 Hirosawa, Wako, Saitama 351-0198, Japan

†Corresponding author

Received:
September 24, 2016
Accepted:
April 10, 2017
Online released:
May 29, 2017
Published:
June 1, 2017
Creative Commons License
Keywords:
laser, tunnel, crack, concrete, spectroscopy
Abstract
We propose a remote surface measurement system that uses a laser to inspect tunnel walls.
To prevent accidents caused by aging parts of the transportation infrastructure, such as tunnels and bridges, the maintenance of such structures has grown in importance. Although these structures are checked by human inspectors, it is hoped that the process can be further automated through the development of remote sensing technologies.
In this article, we focus on the detection of cracks on tunnel surfaces. As the concrete surfaces of tunnels can have many discolored areas, the precision of conventional remote inspection methods based on digital cameras is limited.
Employing a frequency-shifted feedback (FSF) laser to overcome this difficulty, we adopt three measurement principles: reflectance imaging, 3D measurement, and spectroscopy. We have realized high spatial resolution, which is essential to our purpose. Using reflectance imaging, we have detected cracks of more than 200 μm in width on a concrete surface. Using 3D measurement with an FSF laser, we have detected as 3D shape a 0.35 mm crack on an actual concrete surface. We also have detected the presence of water on a concrete surface using 2.95 μm mid-infrared light in the laboratory.
We discuss the use of our system to reliably detect 0.2-mm-wide cracks on the basis of experimental results. The measurement results for the reference targets and real concrete are described.
Cite this article as:
T. Murakami, N. Saito, Y. Komachi, K. Okamura, T. Michikawa, M. Sakashita, S. Kogure, K. Kase, S. Wada, and K. Midorikawa, “High Spatial Resolution Survey Using Frequency-Shifted Feedback Laser for Transport Infrastructure Maintenance,” J. Disaster Res., Vol.12 No.3, pp. 546-556, 2017.
Data files:
References
  1. [1] P. C. Chang, A. Flatau, and S. C. Liu, “Review Paper: Health Monitoring of Civil Infrastructure,” Structural Health Monitoring September, Vol.2, No.3, pp. 257-267, 2003.
  2. [2] Y. Matsuda, “Maintenance of Railway Structures with Aging Deterioration and Amarube Bridge Reconstruction,” Japan Railway and Transport Review, No.62, pp. 32-29, 2013.
  3. [3] F. C. Sham, N. Chen, and L. Long, “Surface crack detection by flash thermography on concrete surface,” Insight, Vol.50, No.5,pp. 240-243, 2008.
  4. [4] B. Hong, C. Rhim, and O. Büyüköztürk, “Wideband Microwave Imaging of Concrete for Nondestructive Testing,” J. of Structural Engineering, pp. 1451-1457, 2000.
  5. [5] A. Taketani, Y. Seki, H. Ohta, T. Hashiguchi, S. Yanagimachi, Y. Otake, Y. Yamagata, Y.Ikeda, H. Baba, S. Wang, Q. Jia, G. Hu, K. Hirota, S. Tanaka, and K. Kino, “Development of Un-Destructive Inspection System for Large Concrete Infrastructure by Using Accelerator Based Compact Neutron Source,” Proc. of IPAC, pp. 2262-2264, 2015.
  6. [6] Y. Shimada and O. Kotyaev, “Development of Laser Based Remote Sensing System for Inner-Concrete Defects,” IEEJ Trans. Electr., Information and Systems, 129, 7, pp. 1192-1197, 2009.
  7. [7] W. Zhang, Z. Zhang, D. Qi, and Y. Liu, “Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring,” Sensors 2014, 14, pp. 19307-19328, 2014.
  8. [8] K. Handa, Y. Ohnishi, S. Nishiyama, T. Koyama, K. Nishikawa, and M. Shimozawa, “A Study of In-vehicle Photography System for Tunnel Health Evaluation by using Image Processing,” Proceedings of the 38th Japan Rock Mechanics Symposium, Japan Society for Rock Mechanics, pp. 184-189, 2017.
  9. [9] E. Protopapadakis, C. Stentoumis, N. Doulamis, A. Doulamis, K. Loupos, K. Makantasis, G. Kopsiaftis, and A. Amditis, “Autonomous Robotic Inspection in Tunnels,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.3, No.5, pp. 167-174, 2016.
  10. [10] W. Wang, W. Zhao, L. Huang, V. Vimarlund, and Z. Wang, “Applications of terrestrial laser scanning for tunnels: a review,” J. of Traffic and Transportation Engineering, Vol.1, No.5, pp. 325-337, 2014.
  11. [11] K. Ishikawa, J. Takiguchi, Y. Amano, T. Hashizume, and T. Fujishima, “Tunnel Cross-Section Measurement System Using a Mobile Mapping System,” JRM, Vol.21, No.2, pp. 193-199, 2009.
  12. [12] S. Wada, K. Akagawa, and H. Tashiro, “Electronically tuned Ti:sapphire laser,” Optics Letters, Vol.21, Issue 10, pp. 731-733, 1996.
  13. [13] J. Geng, S. Wada, N. Saito, and H. Tashiro, “Frequency structure in an electronically tuned Ti:sapphire laser: periodic appearance of static fringes in both homodyne and heterodyne Michelson interferometers,” Optics Letters, Vol.24, Issue 22, pp. 1635-1637, 1999.
  14. [14] H. Ito, T. Hara, and C. Ndiaye, “Frequency-Shifted-Feedback Laser for Precise Remote 3D Measurement for Industry Applications,” The Review of Laser Engineering Supplemental Volume, pp. 1038-1041, 2008.
  15. [15] N. Saito, M. Kato, S Wada, and H. Tashiro, “Automatic continuous scanning and random-access switching of mid-infrared waves generated by difference-frequency mixing,” Optics Letters, Vol.31, Issue 13, pp. 2024-2026, 2006.
  16. [16] G. M. Hale and M. R. Querry, “Optical Constants of Water in the 200-nm to 200-μm Wavelength Region,” Applied Optics Vol.12, Issue 3, pp. 555-563, 1973.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024