1000+ Beam Test Data of Fiber Reinforced Concrete

This dataset comprises flexural beam test results from over 1,000 fiber-reinforced concrete specimens tested at both 1-day and 28-day curing intervals. Each entry includes detailed load-deflection curves, concrete mix properties, fiber characteristics, geometric dimensions, and associated failure modes. The data captures a broad spectrum of material behaviors across varying reinforcement ratios, fiber volumes, and concrete strengths. This resource is highly valuable for training AI models that predict flexural performance, classify post-cracking responses, or extract material properties through inverse analysis. It also enables the development of data-driven constitutive models and supports automated calibration of numerical simulations. The structure of the data is suitable for graph-based representations, where each beam can be modeled as a node with edges capturing similarity in mechanical behavior, mix design, or fracture mode. This opens new avenues for graph theory applications such as clustering, anomaly detection, and path-based learning, allowing researchers to explore hidden patterns, failure evolution, and topology-informed material design strategies.