A global dataset of SCM-blended concrete and its properties
Published: 22 April 2025| Version 2 | DOI: 10.17632/npwgdyy4np.2
Contributors:
, , Description
This dataset comprises 1456 SCM-blended concrete mix designs, incorporating fly ash, silica fume, and ground granulated blast furnace slag, compiled from 136 publications across 27 countries. The dataset encompasses three primary categories of parameters: i) Mixture parameters; ii) Mechanical properties (28-day compressive strength, splitting tensile strength, flexural strength, and elastic modulus); iii) Durability (chloride permeability, drying shrinkage, creep, and abrasion resistance). Serving as a valuable resource for data-driven research, this dataset facilitates the development of advanced machine learning models aimed at optimizing the design of sustainable, high-performance concrete mixtures.
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Institutions
University of New South Wales
Categories
Civil Engineering, Machine Learning, Concrete Construction