Smart Structures and Systems

  • 제16권1호
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  • Pages.67-79
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Experimental study on acoustic emission characteristics of reinforced concrete components

  • Gu, Aijun (Key Laboratory for Mechanical Structure Damage Detection Technology, Jiangsu University) ;
  • Luo, Ying (Key Laboratory for Mechanical Structure Damage Detection Technology, Jiangsu University) ;
  • Xu, Baiqiang (Faculty of Science, Jiangsu University)
  • 투고 : 2014.04.18
  • 심사 : 2014.08.26
  • 발행 : 2015.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Acoustic emission analysis is an effective technique for monitoring the evolution of damage in a structure. An experimental analysis on a set of reinforced concrete beams under flexural loading was carried out. A mixed AE analysis method which used both parameter-based and signal-based techniques was presented to characterize and identify different failure mechanisms of damage, where the signal-based analysis was performed by using the Hilbert-Huang transform. The maximum instantaneous energy of typical damage events and the corresponding frequency characteristics were established, which provided a quantitative assessment of reinforced concrete beam using AE technique. In the bending tests, a "pitch-catch" system was mounted on a steel bar to assess bonding state of the steel bar in concrete. To better understand the AE behavior of bond-slip damage between steel bar and concrete, a special bond-slip test called pullout test was also performed. The results provided the basis of quantitative AE to identify both failure mechanisms and level of damages of civil engineering structures.

키워드

과제정보

연구 과제 주관 기관 : Natural Science Foundation of China

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피인용 문헌

  1. A Brief Review on Acoustic Analysis in Quality Evaluation and a New Method for Determining Bulk Density of Aggregate pp.1886-1784, 2019, https://doi.org/10.1007/s11831-018-9288-x
  2. Damage progression study in fibre reinforced concrete using acoustic emission technique vol.23, pp.2, 2015, https://doi.org/10.12989/sss.2019.23.2.173