Journal
MATERIALIA
Volume 29, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.mtla.2023.101794
Keywords
Stabilized soil blocks; Compressive strength; Ultrasonic pulse velocity; Electrical resistivity
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The current study investigates the feasibility of using statistical analyses on the relationship between two non-destructive tests (ultrasonic pulse velocity and electrical resistivity) and the density and compressive strength of cement-stabilized earth blocks (CSEB) as a means to enhance quality control in cement-stabilized earth masonry buildings. Ten different cement-soil mixes were cast and tested, considering three soil types and various cement-to-soil ratios. Correlation analysis was used to determine the best relationship between the properties of CSEBs and non-destructive measurements. Univariate and multivariate regression models were set up to describe the variability in compressive strength using both types of non-destructive testing. The results show that a combination of ultrasonic pulse velocity and electrical resistivity can be used to qualitatively evaluate the properties of CSEBs for better accuracy.
The quality monitoring procedure is so tricky in cement-stabilized earth masonry buildings that it is typically avoided. As a potential means of enhancing the aforementioned quality control, the current study investigates some statistical analyses regarding the relationship between two non-destructive tests (ultrasonic pulse velocity and electrical resistivity) and the density and compressive strength of cement-stabilized earth blocks (CSEB). Blocks with ten different cement-soil mixes were cast and tested considering three soil types and various cementto-soil ratios. Correlation analysis was done to determine the best relationship between the properties of stabilized earth blocks (density, dry compressive strength and saturated compressive strength) and non-destructive measurements (ultrasonic pulse velocity and electrical resistivity). To adequately describe the variability in compressive strength using both types of non-destructive testing, univariate and multivariate regression models were set up. When multivariate models (using a combination of UPV and electrical resistivity) were used to predict the dependent variable showed a stronger correction between properties of CSEBs and non-destructive measurements. It is shown that a combination of UPV and electrical resistivity can be used to qualitatively evaluate the properties of CSEBs for better accuracy.
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