4.6 Article

Utility of Ultrasonic Pulse Velocity for Estimating the Overall Mechanical Behavior of Recycled Aggregate Self-Compacting Concrete

Journal

APPLIED SCIENCES-BASEL
Volume 13, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/app13020874

Keywords

compressive behavior; mechanical indicator; mechanical performance; multiple regression; non-destructive testing; property standardization; self-compacting concrete; statistical correlation; recycled aggregate; ultrasonic pulse velocity

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Ultrasonic pulse velocity (UPV) is a non-destructive measurement technique that evaluates the quality of concrete elements. The relationship between UPV readings and mechanical behavior of self-compacting concrete (SCC) with different types of recycled aggregates was studied. The study found a monotonic relationship between UPV and mechanical properties. Multiple-regression models linking compressive-behavior-related properties provided the best estimation accuracy for UPV.
Ultrasonic pulse velocity (UPV) is a non-destructive measurement technique with which the quality of any concrete element can be evaluated. It provides information on concrete health and for assessing the need for repair in a straightforward manner. In this paper, the relationship is studied between UPV readings and the mechanical behavior of self-compacting concrete (SCC) containing coarse, fine, and/or powdery RA. To do so, correlations and simple- and multiple-regression relationships between compressive strength, modulus of elasticity, splitting tensile strength, flexural strength, and UPV readings of nine SCC mixes were assessed. The correlations showed that the relationship of UPV with any mechanical property was fundamentally monotonic. The inverse square-root model was therefore the best-fitting simple-regression model for all the mechanical properties, although for bending-tensile-behavior-related properties (splitting tensile strength and flexural strength) the estimation accuracy was much lower than for compressive-behavior-related properties (compressive strength and modulus of elasticity). Linear-combination multiple-regression models showed that the properties related to bending-tensile behavior had a minimal influence on the UPV value, and that their introduction resulted in a decreased estimation accuracy. Thus, the multiple-regression models with the best fits were those that linked the compressive-behavior-related properties to the UPV readings. This therefore enables the estimation of the modulus of elasticity when the UPV and compressive strength are known with a deviation of less than +/- 20% in 87% of the SCC mixes reported in other studies available in the literature.

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