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JDR Vol.12 No.3 pp. 506-514
doi: 10.20965/jdr.2017.p0506
(2017)

Paper:

Mechanoluminescent Testing as an Efficient Inspection Technique for the Management of Infrastructures

Akihito Yoshida*, Linsheng Liu*, Dong Tu*, Shigenobu Kainuma*,**, and Chao-Nan Xu*,***,†

*Advanced Manufacturing Research Institute, National Institute of Advanced Industrial Science and Technology
Shuku-machi, Tosu, Saga 841-0052, Japan

Corresponding author

**Department of Civil Engineering, Kyushu University, Fukuoka, Japan

***International Institute for Carbon-Neutral Energy Research (WPI-I

2CNER), Kyushu University, Fukuoka, Japan

Received:
August 29, 2016
Accepted:
February 12, 2017
Online released:
May 29, 2017
Published:
June 1, 2017
Keywords:
mechanoluminescence, inspection, fatigue cracks, steel bridge, infrastructure
Abstract

This paper reports on the mechanoluminescence inspection technology we have developed and its applications. The inspection technology is expected to identify deterioration and damage, such as fatigue cracks developed on steel members of steel structures, using particular mechanoluminescence (ML) phenomenon. In field testing at an urban highway bridge currently in service, fatigue cracks in steel box girders were successfully detected using the proposed technology. In addition, using a conventional crack detection method known as magnetic particle inspection (MT), similar results were obtained in terms of crack judgment, suggesting that the reliability of the ML method is equivalent to that of the MT method. An advantage of the ML inspection method is that it does not require removing corrosion protection coating, saving labor that is necessary in the MT method. The field testing also examined the possibility of evaluating precautionary measures (repair) as another application of the ML technique. As a result, the ML technique quantitatively evaluated that detected cracking had been properly repaired (removed). It is expected that the ML technique will contribute to effective maintenance and management of infrastructures from the perspective of preventive maintenance.

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Last updated on Dec. 12, 2017