The research presented here represents the results of the first phase of a multi-year research effort aimed at developing tools to enable performance-based earthquake engineering (PBEE) of structural walls. Reinforced concrete structural walls are used commonly as the primary lateral-load resisting system in buildings. This model can be effectively used to predict the compressive strength of phosphorus slag content cements at various Blaine finenesses, curing times, and compositions. Then, another different dataset was used to incorporate composition variable including weight fractions of phosphorus slag, cement, and activator in the model. Based on the obtained results, a primary stochastic model in terms of curing time and Blaine fineness has been developed. For this purpose, the compressive strengths of chemically activated high phosphorus slag content cement prepared from phosphorus slag (80 wt.%), Portland cement (14 wt.%) and a compound chemical activator containing sodium sulfate and anhydrite (6 wt.%) were measured at various Blaine finenesses and curing times. This study is aimed at finding a model for estimating the compressive strength of phosphorus slag content cements. One of the common methods for quick determination of compressive strength as one of the most important properties for assessment of cement quality is to apply various modeling approaches.
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