Damage detection of SFRC concrete beams subjected to pure torsion by integrating acoustic emission and Weibull damage function

Arash Behnia*, Hwa K. Chai, Navid Ranjbar, Mohd Z. Jumaat

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Summary In some cases, torsion is the dominant or critical factor contributing to the failure of a concrete member. This research proposes a novel damage detection method for fiber-reinforced concrete beams subjected to pure torsion loading by statistical analysis of acoustic emission (AE) data. Concrete beams with varying water/cement ratios and different fiber volume fractions were subjected to pure torsion during AE monitoring. It was found that the cumulative AE event with respect to the twist angle correlated well to the mechanical loading. A Weibull rupture probability distribution is introduced to quantitatively predict the mechanical damage behavior under pure torsion. A bi-logarithmic regression analysis is carried out to calibrate the Weibull damage distribution function with the detected AE data in order to characterize the torsion fracture process. Moreover, a quantitative approach by means of b-value results is presented in this article to further analyze damage and fracture process. Torsion fracture properties were correlated to the AE parameters, and it was shown that the magnitudes of AE parameters were influenced significantly by mechanical properties of specimens. Therefore, AE would be suitable to describe the fracture of concrete specimens subjected to torsion.

Original languageEnglish
Pages (from-to)51-68
Number of pages18
JournalStructural Control and Health Monitoring
Volume23
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

Keywords / Materials (for Non-textual outputs)

  • acoustic emission techniques
  • damage evaluation
  • steel fiber-reinforced concrete
  • structural health monitoring
  • torsion
  • Weibull damage function

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