Prediction of the Physical-Mechanical Properties of Roller-Compacted Concrete Pavements under Different Service and Mix Conditions Based on Cement and Water Content
Metadatos
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MDPI
Materia
Response surface methodology Water vapor per kilogram of air Physical-mechanical properties
Fecha
2024-01-23Referencia bibliográfica
Pulecio-Díaz, J.; Sol-Sánchez, M.; Moreno-Navarro, F. Prediction of the Physical-Mechanical Properties of Roller-Compacted Concrete Pavements under Different Service and Mix Conditions Based on Cement andWater Content. Materials 2024, 17, 549. https://doi.org/10.3390/ma17030549
Resumen
Roller-compacted concrete (RCC) for pavements has experienced problems with its physicalmechanical
performance over extended periods due to ambient and in situ curing conditions. Accordingly,
this study aimed to present multiple regression equations for calculating the physicalmechanical
properties of RCC for pavements under different service and mix conditions. For this
purpose, the research included two cement and two water contents, one reduced with admixture,
and four combinations of temperature and relative humidity. For model calibration and definition of
the equations, cubic and beam samples were fabricated to carry out physical-mechanical tests, such
as moisture content, shrinkage, and modulus of rupture. Laboratory-obtained data were studied
with the Response Surface Methodology (RSM) to determine the best regression equations. The main
findings determined that the behavior of a mixture of RCC at a prolonged ambient exposure time
is possible because the surface models and the RSM were consistent with the different service and
mix conditions. The models showed an accuracy of 98.99% in detecting shrinkage changes from
12 to 16% cement with 5.65% water in dry to wet ambient conditions. Similarly, moisture content
and modulus of rupture had a 98.27 to 98.88% fit. Finally, the drying shrinkage, with mixes of 12%
cement and water content variations with water-reducing admixture and superplasticizer effects, had
an adjustment of 94.87%.