4.6 Article

Development and field application of a nonlinear ultrasonic modulation technique for fatigue crack detection without reference data from an intact condition

期刊

SMART MATERIALS AND STRUCTURES
卷 25, 期 9, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0964-1726/25/9/095055

关键词

nonlinear ultrasonic modulation; fatigue crack detection; PZT transducers; online bridge monitoring

资金

  1. Smart Civil Infrastructure Research Program - Ministry of Land, Infrastructure and Transport (MOLIT) of Korea government [13SCIPA01]
  2. Korea Agency for Infrastructure Technology Advancement (KAIA)
  3. New Airport Hiway Co., Ltd.

向作者/读者索取更多资源

In this study, a fatigue crack detection technique, which detects a fatigue crack without relying on any reference data obtained from the intact condition of a target structure, is developed using nonlinear ultrasonic modulation and applied to a real bridge structure. Using two wafer-type lead zirconate titanate (PZT) transducers, ultrasonic excitations at two distinctive frequencies are applied to a target inspection spot and the corresponding ultrasonic response is measured by another PZT transducer. Then, the nonlinear modulation components produced by a breathing-crack are extracted from the measured ultrasonic response, and a statistical classifier, which can determine if the nonlinear modulation components are statistically significant in comparison with the background noise level, is proposed. The effectiveness of the proposed fatigue crack detection technique is experimentally validated using the data obtained from aluminum plates and aircraft fitting-lug specimens under varying temperature and loading conditions, and through a field testing of Yeongjong Grand Bridge in South Korea. The uniqueness of this study lies in that (1) detection of a micro fatigue crack with less than 1 mu m width and fatigue cracks in the range of 10-20 mu m in width using nonlinear ultrasonic modulation, (2) automated detection of fatigue crack formation without using reference data obtained from an intact condition, (3) reliable and robust diagnosis under varying temperature and loading conditions, (4) application of a local fatigue crack detection technique to online monitoring of a real bridge.

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