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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 formulations. In summary, the dataset provides a resource for researchers focusing on AAC and related materials and offers insights into the environmental benefits of substituting traditional Portland concrete with AAC.

SUBMITTER: Torres BM 

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

REPOSITORIES: biostudies-literature

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

Torres Benjamin Moreno BM   Völker Christoph C   Firdous Rafia R  

Data in brief 20230828


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 CO<sub>2</sub> footprint of e  ...[more]

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