Monitoring the health of concrete structures is essential to ensure their safety, durability, and functionality. Non-destructive testing (NDT) methods are highly effective for assessing concrete health without causing damage. Among various NDT techniques, the rebound hammer and ultrasonic pulse velocity (UPV) meter have proven to be reliable tools for evaluating concrete quality. In this study, the authors conducted experiments using both rebound hammer and UPV tests on slabs of varying thicknesses, some of which contained intentionally embedded low-quality materials at specific locations. By combining these methods, the authors aim to provide a thorough evaluation of concrete integrity, strength, and the presence of impurities and voids. The study found a strong correlation between the UPV measurements and the strength values obtained from rebound hammer tests. Utilizing Matplotlib further enhanced result interpretation, allowing for the easy identification of weaker zones, even in monolithically cast samples, helping to predict potential issues in concrete structures. These techniques offer valuable insights for managing concrete health, ultimately contributing to the extended service life and resilience of infrastructure.

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Enhanced Monitoring of Concrete Structures Through Rebound Hammer and Ultrasonic Pulse Velocity Meter

  • Sk F. Ashiq,
  • Subir Ghosh,
  • Soumyadip Das,
  • Sanjay Sengupta,
  • Anupam K. Biswas

摘要

Monitoring the health of concrete structures is essential to ensure their safety, durability, and functionality. Non-destructive testing (NDT) methods are highly effective for assessing concrete health without causing damage. Among various NDT techniques, the rebound hammer and ultrasonic pulse velocity (UPV) meter have proven to be reliable tools for evaluating concrete quality. In this study, the authors conducted experiments using both rebound hammer and UPV tests on slabs of varying thicknesses, some of which contained intentionally embedded low-quality materials at specific locations. By combining these methods, the authors aim to provide a thorough evaluation of concrete integrity, strength, and the presence of impurities and voids. The study found a strong correlation between the UPV measurements and the strength values obtained from rebound hammer tests. Utilizing Matplotlib further enhanced result interpretation, allowing for the easy identification of weaker zones, even in monolithically cast samples, helping to predict potential issues in concrete structures. These techniques offer valuable insights for managing concrete health, ultimately contributing to the extended service life and resilience of infrastructure.