Quantifying the effect of construction site factors on concrete compressive strength using designed experiments

Abstract

Both structured and unstructured factors affect concrete compressive strength. Structured factors, e.g., raw materials, affect concrete production. Unstructured factors, e.g., local conditions, affect concrete quality during the construction phase. The effects of structured factors on concrete metrics are well understood, while there is limited understanding on the effects of unstructured factors. A full 2 5 factorial design was conducted to quantify the effect of five construction site factors including crew experience, compaction method, mixing time, curing humidity and curing temperature. A linear regression model was developed considering significant affecting factors. Model adequacy was evaluated through residual plots. The results indicate that compaction method, mixing time, curing humidity and curing temperature affect concrete compressive strength significantly, with curing temperature having the highest percent contribution (50.0%). The final regression model was used to create a decision-support tool that enables construction workers to find operating conditions and take corrective actions to preserve concrete quality.

Barras energéticas de sacha inchi: optimización de la formulación mediante diseño estadístico de mezclas

“…Para la prueba de Anderson Darling se obtuvo 0.63, en la prueba de Ryan-Joiner 0.94 y con la prueba de Kolmogorov-Smirnov, 0.28. Trabajos previos que aplican los métodos de Ryan-Joiner y Kolmogorov-Smirnov (Santamaria et al, 2019) señalan que las dos pruebas confirman la normalidad de los datos, mostrando así que siendo métodos diferentes arrojan respuestas similares, asegurando la fiabilidad de los resultados.…”