Concreting a sustainable future: A dataset of alkali-activated concrete and its properties.

ABSTRACT: This data article introduces a dataset comprising 1630 alkali-activated concrete (AAC) mixes, compiled from 106 literature sources. The dataset underwent extensive curation to address feature redundancy, transcription errors, and duplicate data, yielding refined data ready for further data-driven science in the field of AAC, where this effort constitutes a novelty. The carbon footprint associated with each material used in the AAC mixes, as well as the corresponding CO₂ footprint of every mix, were approximated using two published articles. Serving as a foundation for future expansions and rigorous data applications, this dataset enables the characterization of AAC properties through machine learning algorithms or as a benchmark for performance comparison among different formula

SUBMITTER: Torres BM 

PROVIDER: S-EPMC10493887 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature