A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Porosity-based models for estimating the mechanical properties of self-compacting concrete with coarse and fine recycled concrete aggregate
Predicting the mechanical properties of Self-Compacting Concrete (SCC) containing Recycled Concrete Aggregate (RCA) generally depends, in great part, on the RCA fraction in use. In this study, predictive equations for estimating SCC mechanical properties are developed through SCC porosity indices, so they are applicable to any RCA fraction and amount that may be used. A total of ten SCC mixes were prepared, nine of which containing different proportions of coarse and/or fine RCA (0%, 50% or 100% for both fractions), and the tenth mixed with 100% coarse and fine RCA, and RCA powder 0–1 mm. The following properties were evaluated: compressive strength, modulus of elasticity, splitting tensile strength, flexural strength, and effective porosity as measured with the capillary-water-absorption test. Negative effects on the above properties were recorded for increasing contents of both RCA fractions. The application of simple regression models yielded porosity-based estimations of the mechanical properties of the SCC with an accuracy margin of ±20%, regardless of the RCA fraction and amount. The results of the multiple regression models with compressive strength as a secondary predictive variable presented even greater robustness with accuracy margins of ±10% and almost no significant effect of accidental porosity variations on prediction accuracy. Furthermore, porosity predictions using the 24-h effective water also yielded accurate estimations of all the above mechanical properties. Finally, comparisons with the results of other studies validated the reliability of the models and their accuracy, especially the minimum expected values at a 95% confidence level, at all times lower than the experimental results.
Porosity-based models for estimating the mechanical properties of self-compacting concrete with coarse and fine recycled concrete aggregate
Predicting the mechanical properties of Self-Compacting Concrete (SCC) containing Recycled Concrete Aggregate (RCA) generally depends, in great part, on the RCA fraction in use. In this study, predictive equations for estimating SCC mechanical properties are developed through SCC porosity indices, so they are applicable to any RCA fraction and amount that may be used. A total of ten SCC mixes were prepared, nine of which containing different proportions of coarse and/or fine RCA (0%, 50% or 100% for both fractions), and the tenth mixed with 100% coarse and fine RCA, and RCA powder 0–1 mm. The following properties were evaluated: compressive strength, modulus of elasticity, splitting tensile strength, flexural strength, and effective porosity as measured with the capillary-water-absorption test. Negative effects on the above properties were recorded for increasing contents of both RCA fractions. The application of simple regression models yielded porosity-based estimations of the mechanical properties of the SCC with an accuracy margin of ±20%, regardless of the RCA fraction and amount. The results of the multiple regression models with compressive strength as a secondary predictive variable presented even greater robustness with accuracy margins of ±10% and almost no significant effect of accidental porosity variations on prediction accuracy. Furthermore, porosity predictions using the 24-h effective water also yielded accurate estimations of all the above mechanical properties. Finally, comparisons with the results of other studies validated the reliability of the models and their accuracy, especially the minimum expected values at a 95% confidence level, at all times lower than the experimental results.
Porosity-based models for estimating the mechanical properties of self-compacting concrete with coarse and fine recycled concrete aggregate
Revilla-Cuesta V. (author) / Faleschini F. (author) / Zanini M. A. (author) / Skaf M. (author) / Ortega-Lopez V. (author) / Revilla-Cuesta, V. / Faleschini, F. / Zanini, M. A. / Skaf, M. / Ortega-Lopez, V.
2021-01-01
Article (Journal)
Electronic Resource
English
DDC:
690
Self-Compacting Concrete With Processed Recycled Coarse Aggregate
| European Patent Office | 2021
Properties of self-compacting concrete prepared with coarse recycled concrete aggregate
| British Library Online Contents | 2010
Fresh Properties of Self-Compacting Concrete with Coarse Recycled Aggregate
| Tema Archive | 2012
Study on Properties of Self-Compacting Concrete Prepared with Coarse Recycled Concrete Aggregate
| British Library Conference Proceedings | 2014
Study on Properties of Self-Compacting Concrete Prepared with Coarse Recycled Concrete Aggregate
| Trans Tech Publications | 2014