A Comprehensive Rubberized Concrete Dataset for Advanced Construction Practices

Published: 20 August 2025| Version 2 | DOI: 10.17632/hpnrd55h4c.2
Contributor:
Xiao Tan

Description

Rubberized concrete, as a popular material, is still in the developmental stage in terms of its compressive strength research. The collection of a large-scale dataset can provide researchers with abundant experimental data, filling the gaps in existing studies. This dataset article delineates the compilation of a comprehensive dataset comprising more than 1200 rubberized concrete mixture samples, meticulously collected from 62 scholarly sources. The dataset encompasses nine input features (such as rubber content, water-to-cement ratio, etc.) and one output feature (compressive strength). As a comprehensive dataset targeting the compressive strength of rubberized concrete, it is expected to serve as a vital reference for subsequent data-driven research approaches, such as machine learning model training, meta analysis, and theoretical studies. This large-scale dataset supports not only offers valuable resources for academic research and engineering applications of rubberized concrete but also supports multiple aspects, including sustainable development, education, and training.

Files

Steps to reproduce

All data were collected from published papers. For some articles that did not provide specific numerical values, the web-plot-digitizer tool was employed to extract data from the compressive strength figures. The selection and extraction of these data underwent rigorous screening. This meticulous analysis was aimed at compiling a comprehensive dataset that reflects the breadth and depth of research in this field. Strict inclusion and exclusion criteria were applied to maintain the integrity and relevance of the data. As a complete dataset, it offers ready - to - use data for future research.

Institutions

  • Hohai University

Categories

Civil Engineering, Construction Material, Materials Characterization

Funders

  • Fundamental Research Funds for the Central Universities
    Grant ID: B250201004

Licence