Multivariate dataset and response surface optimization for predicting mechanical and durability properties of slurry-infiltrated fibrous concrete incorporating sisal fiber and coffee husk ash.

Concrete remains a dominant construction material worldwide due to its renowned strength, durability, workability, and versatility. However, designing concrete mixes that incorporate novel materials and additives while accounting for multiple design resistances is particularly challenging. Although existing methods can predict key concrete properties such as compressive, flexural, and tensile strengths, as well as durability, these approaches are limited by the narrow range of materials and properties they consider. This study presents a comprehensive dataset from experimental analysis, including mechanical performance evaluations and non-destructive test results for 10 distinct concrete mixes incorporating various additives and aggregates. With 960 data points, the dataset is a state-of-the-art resource for concrete analysis. Specifically, this paper introduces a multivariate dataset and a response surface optimization approach for predicting the mechanical and durability properties of Slurry-Infiltrated Fibrous Concrete (SIFCON) reinforced with sisal fiber and supplemented with coffee husk ash. The optimal usage of sisal fiber (1-1.5%) and for coffee husk ash (10-15%) The findings provide a robust framework for optimizing sustainable concrete mixes and advancing predictive modelling in construction materials engineering.