Evaluation of Concrete Compressive Strength by Integrating Non-Destructive Methods and Image Processing

Document Type : Research Paper

Authors

1 Department of Civil Engineering, International Campus, Guilan University. Rasht, Guilan Province, Iran

2 Department of Civil Engineering, Faculty of Technology, Guilan University, Rasht, Guilan Province, Iran

10.22124/jcr.2025.30497.1703

Abstract

Non-destructive testing (NDT) methods for estimating in-situ concrete compressive strength (f’c) are typically performed using ultrasonic pulse velocity tests, rebound hammer tests, or a combination of both (SonReb). Since the accuracy of these methods is affected by the condition of the concrete, digital image processing (DIP) techniques have been proposed as alternatives with reduced sensitivity to these conditions. In this study, an approach based on integrating NDT and DIP results was employed to establish a reliable and generalizable relationship for estimating f’c. To this end, 135 standard cylindrical specimens were cast, and in addition to performing compressive and NDT tests, several features were extracted from their saw-cut surfaces using DIP. The resulting data were then used to train and validate a regression model for estimating f’c. Furthermore, similar tests were conducted on cores with a 95‑mm diameter, drilled from three levels of two specimens (each measuring 1800×300×300 mm), in order to assess the applicability of the proposed equations in estimating the concrete strength of structural members. The findings demonstrated that the combination of NDT and DIP outperformed the SonReb model in estimating f’c, yielding R² values of 0.90 and 0.94 for the training and validation datasets, respectively, compared to 0.83 and 0.91 for SonReb. Additionally, the proposed model estimated the f’c values of cores extracted from columns with an R² of 0.88, whereas the SonReb model achieved an R² of 0.81.

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