Predicting flexural strength in fiber-reinforced UHPC via random forest.

ABSTRACT: The incorporation of fibers into Ultra-High-Performance Concrete (UHPC) significantly enhances its flexural strength and ductility, making it a desirable material for high-performance structural applications. However, predicting the flexural behavior of fiber-reinforced UHPC remains challenging due to the complex interactions among constituent materials. This complexity increases further with the partial replacement of cement by supplementary cementitious materials (SCMs), which alter matrix reactivity and microstructure. To address these challenges, this study employs Random Forest (RF) regression to predict the ultimate flexural strength of UHPC, incorporating mixtures with diverse SCM combinations and up to two different fiber types. A dataset of 550 experimental mixtures, comprising 41

SUBMITTER: Sarmiento-Pupo KD 

PROVIDER: S-EPMC12657928 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature