Simplified modeling of rubberized concrete properties using multivariable regression analysis

The studies on rubberized concrete have increased dramatically over the last few years due to being an environmentally friendly material with enhanced vibration behavior and energy dissipation capabilities. Nevertheless, multiple resources in literature reported reductions its mechanical properties directly proportional rubber content. Over years, various mathematical models been proposed estimate using artificial intelligence, machine learning, fuzzy logic-based methods. However, these are relatively complicated require higher computation efforts than multivariable regression ones when it comes daily usage of practicing engineers. Additionally, most study has mainly focused compressive strength rarely went into more details considering other sample sizes. Therefore, this focuses developing simple yet accurate that can be generalized for mixtures different