Advanced Analysis of Concrete Compressive Strength: Combining NDT Techniques with Digital Image Processing

Authors

  • Mahankali Sreenath PhD Research Scholar, Department of Civil Engineering, JNTU Ananthapuramu, AP, India-515002. Author
  • Valikala Giridhar Professor, Department of Civil Engineering, KSRM College of Engineering & Technology, Kadapa, AP, India- 516003. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0368

Keywords:

Concrete, Digital Image Processing Method, Rebound Hammer Test, SonReb Method, Ultrasonic Pulse Velocity

Abstract

Concrete is a fundamental material in civil engineering, widely used for its durability, versatility, and load-bearing capacity in infrastructure and building projects. The compressive strength of concrete is crucial as it directly impacts structural integrity, longevity, and safety. This study investigates the compressive strength of M50 grade concrete through a comprehensive approach that combines non-destructive and destructive testing techniques. Methods employed include the Rebound Hammer (RBH) test, Ultrasonic Pulse Velocity (UPV) test, Digital Image Processing (DIP), and conventional destructive testing. The integration of these techniques aims to provide accurate and reliable estimates of compressive strength, critical for evaluating concrete quality in structural applications. Specifically, this research compares the non-destructive techniques (RBH, SonReb Method, and DIP) against standard destructive testing results across different curing ages. Findings reveal a strong correlation between DIP and destructive testing, suggesting that image-based processing can serve as an effective non-destructive alternative in compressive strength assessment. The comprehensive analysis of M50 grade concrete presented in this study offers valuable insights for researchers and practitioners seeking enhanced, non-invasive methods for concrete strength evaluation.

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Published

2024-12-05

How to Cite

Advanced Analysis of Concrete Compressive Strength: Combining NDT Techniques with Digital Image Processing. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(12), 2669-2674. https://doi.org/10.47392/IRJAEH.2024.0368

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