Abstract
This research presents application of Box-benken design method to develop model for predicting 28 days compressive strength of Self-Compacting Concrete (SCC) with partial replacement of cement with Wadi Musa bentonite, Jordan for which the data of 15 mixtureshave been tested and preparedat the laboratory of AL Hussien Bin Talal University. The use of Bentonite as filler materials in self-compacting concrete can add many benefits that are directly related to the durability of various cementitious materials, besides the fact that it is possible to reduce the quantities of cement and optimize the percentage in the composite. The performance of the model can be judged by the correlation coefficient (R2), Mean Absolute Error (MAE) and root Mean Square Error (MSE) have been adopted as the comparative measures against the experimental results obtained from the mixtures and found the best percentage of Bentonite in SCC.
Highlights
Self-Compacted Concrete (SCC) has been described as "the most revolutionary development in concrete construction for several decades" (EFNARC, 2002)
Results obtained from testing the mixes behavior and properties will be discussed in the light of the design of experiment predictions and the ASTM and EFNARC guide
In the lack of a complete standard for designing a SelfCompacting Concrete (SCC) mix, interpretation of results will be according to the ASTM and EFNARC standard
Summary
Self-Compacted Concrete (SCC) has been described as "the most revolutionary development in concrete construction for several decades" (EFNARC, 2002). It is an innovative concrete that does not require vibration for placing and compaction. It is able to flow under its own weight, completely filling formwork and achieving full compaction, even in the presence of congested reinforcement. It was first introduced by Japanese researchers in the late 1980's. Due to the high quality and positive environmental impact development of such concrete is required. In normal concrete and SCC, fillers are used for quality and financial purposes (Alhasanat et al, 2016). Box-behnken design of experiment approach is used along the way to analyze, interpret and modeling of the results
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