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Correlation of rebound hammer and ultrasonic pulse velocity methods for instant and additive-enhanced concrete

  • Yudhistira J.U. Mangasi (Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia) ;
  • Nadhifah K. Kirana (Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia) ;
  • Jessica Sjah (Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia) ;
  • Nuraziz Handika (Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia) ;
  • Eric Vincens (Univ Lyon, Ecole Centrale de Lyon)
  • Received : 2023.11.19
  • Accepted : 2024.03.13
  • Published : 2024.03.25
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Abstract

This study aims to determine the characteristics of concrete as identified by Rebound Hammer and Ultrasonic Pulse Velocity (UPV) tests, focusing particularly on their efficacy in estimating compressive strength of concrete material. The study involved three concrete samples designed to achieve a target strength of 29 MPa, comprising normal concrete, instant concrete, and concrete with additives. These were cast into cube specimens measuring 150×150×150 mm. Compressive strength values were determined through both destructive and non-destructive testing on the cubic specimens. As a result, the non-destructive methods yielded varying outcomes for each correlation approach, influenced by the differing constituent materials in the tested concretes. However, normal concrete consistently showed the most reliable correlation, followed by concrete with additives, and lastly, instant concrete. The study found that combining Rebound Hammer and UPV tests enhances the prediction accuracy of compressive strength of concrete. This synergy was quantified through multivariate regression, considering UPV, rebound number, and actual compressive strength. The findings also suggest a more significant influence of the Rebound Hammer measurements on predicting compressive strength for BN and BA, whereas UPV and RN had a similar impact on predicting BI compressive strength.

Keywords

Acknowledgement

The research is funded by Directorate of Research and Development, Universitas Indonesia under Hibah PUTI Pascasarjana 2023 (Grant No. NKB-254/UN2.RST/HKP.05.00/2023).

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