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Uniaxial compressive strength and electrical resistivity data for graphite-based nanomaterials reinforced cementitious composite

The University of Western Australia
DONG, WEI
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.17632/f62nfhk63p.1&rft.title=Uniaxial compressive strength and electrical resistivity data for graphite-based nanomaterials reinforced cementitious composite&rft.identifier=10.17632/f62nfhk63p.1&rft.publisher=Mendeley Data&rft.description=The provided datasets are used to establish machine learning models for uniaxial compressive strength (UCS) and electrical resistivity (ER) of graphite-based nanomaterials reinforced cementitious composite (GNRCC). The ER dataset consists of 416 samples and the UCS dataset consists of 373 samples. Samples in both datasets are compiled from published studies.&rft.creator=DONG, WEI &rft.date=2022&rft.type=dataset&rft.language=English Access the data
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The provided datasets are used to establish machine learning models for uniaxial compressive strength (UCS) and electrical resistivity (ER) of graphite-based nanomaterials reinforced cementitious composite (GNRCC). The ER dataset consists of 416 samples and the UCS dataset consists of 373 samples. Samples in both datasets are compiled from published studies.

Issued: 2022-02-21

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Identifiers
ACN 633 798 857