Reliability Estimation of the Compressive Concrete Strength Based on Non-Destructive Tests

Andrea Miano (), Hossein Ebrahimian, Fatemeh Jalayer and Andrea Prota
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Andrea Miano: Department of Structures for Engineering and Architecture, University of Naples Federico II, 80131 Napoli, Italy
Hossein Ebrahimian: Department of Structures for Engineering and Architecture, University of Naples Federico II, 80131 Napoli, Italy
Fatemeh Jalayer: Institute for Risk and Disaster Reduction (IRDR), University College London, London WC1E 6BT, UK
Andrea Prota: Department of Structures for Engineering and Architecture, University of Naples Federico II, 80131 Napoli, Italy

Sustainability, 2023, vol. 15, issue 19, 1-19

Abstract: The uncertainty in the concrete compressive strength is one of the most challenging issues in safety checking of existing reinforced concrete (RC) buildings. The concrete compressive strength used in the assessment can highly influence the vulnerability results and thus the retrofit strategies. The need to use less expensive and less invasive in situ measurements such as the non-destructive tests should be balanced with a careful check of their structural reliability. The compressive concrete strength is characterized herein based on a large database of both in situ destructive and non-destructive results measured on the same structural members. The data are obtained from existing RC buildings mainly located in the Campania region, Southern Italy. Probabilistic linear and multilinear regression models are developed for calculating the compressive concrete strength based on non-destructive tests. Furthermore, the implementation of the concrete strength based on ultrasonic test results are investigated together with the relative measurement error through a fully probabilistic workflow. Accordingly, the relative weights of non-destructive data for calculating concrete compressive strength are estimated and compared with those recommended by the Italian national code. The results demonstrate that the effective weights of the non-destructive data are very close to the code-based recommendation.

Keywords: concrete compressive strength; existing RC structures and infrastructures; knowledge levels; destructive tests; non-destructive tests; Bayesian updating (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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