Next Article in Journal
Immobilized TiO2-Polyethylene Glycol: Effects of Aeration and pH of Methylene Blue Dye
Previous Article in Journal
The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Appl. Sci. 2017, 7(5), 507; doi:10.3390/app7050507

A New Health Assessment Index of Tunnel Lining Based on the Digital Inspection of Surface Cracks

1
Graduate School of Engineering, Nagasaki University, Nagasaki 852-8521, Japan
2
West Nippon Expressway Engineering Kyushu Co., Ltd., Fukuoka 810-0073, Japan
3
West Nippon Expressway Co., Ltd., Nagasaki 854-0063, Japan
4
State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
*
Author to whom correspondence should be addressed.
Received: 28 March 2017 / Revised: 26 April 2017 / Accepted: 9 May 2017 / Published: 12 May 2017
View Full-Text   |   Download PDF [4623 KB, uploaded 15 May 2017]   |  

Abstract

The stability assessment of aged tunnel linings are mainly evaluated based on the visual inspection, and the Tunnel-lining Crack Index (TCI) is one of the most widely used tunnel lining health assessment indexes in Japan. However, the intersection and distribution of cracks, which could influence the stability of tunnel lining greatly, were not considered in TCI. A new method was proposed for the health assessment of tunnel lining, which evaluated the lining states according to the fractal dimension of cracks. Based on the machine vision-based method, the crack image could be extracted efficiently. The fractal dimension of lining cracks in one span could be obtained in a few minutes. A series of comparative tests and field tests were conducted to evaluate the validity of this new method. The comparative tests confirmed that fractal dimension was able to characterize the density, width, and distribution of cracks. The intersection of cracks, which would increase the risk of lining collapse, could also increase the fractal dimension. The fractal dimensions of tunnel lining cracks were obtained according to the digital inspection test of Hidake Tunnel in Japan for all the 65 spans. Moreover, the TCI was obtained through statistical methods. The correlation between fractal dimension and TCI of tunnel lining was studied. The significance of the new evaluation index is that it can identify the unusual spans of tunnel lining and provide a basis for further internal testing. As a complement to the conventional visual inspection method, the fractal dimension of the cracks is a promising health assessment index. View Full-Text
Keywords: tunnel lining; health assessment; fractal dimension; Tunnel-lining Crack Index; digital inspection test; field test tunnel lining; health assessment; fractal dimension; Tunnel-lining Crack Index; digital inspection test; field test
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wu, X.; Jiang, Y.; Wang, J.; Masaya, K.; Taniguchi, T.; Yamato, T. A New Health Assessment Index of Tunnel Lining Based on the Digital Inspection of Surface Cracks. Appl. Sci. 2017, 7, 507.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top