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

Published: 21 February 2022| Version 1 | DOI: 10.17632/f62nfhk63p.1
Contributor:
WEI DONG

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.

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Institutions

University of Western Australia

Categories

Civil Engineering

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