A machine learning approach for assessing the compressive strength of cementitious composites reinforced by graphene derivatives
Author:
Funder
Norges Teknisk-Naturvitenskapelige Universitet
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference83 articles.
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3. A review on the properties, reinforcing effects, and commercialization of nanomaterials for cement-based materials;Zhao;Nanotechnol. Rev.,2020
4. Properties of cement-based composites using nanoparticles: a comprehensive review;Paul;Constr. Build. Mater.,2018
5. Utilization of carbon nanotubes (CNTs) in concrete for structural health monitoring (SHM) purposes: a review;Siahkouhi;Constr. Build. Mater.,2021
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1. Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms;Results in Engineering;2024-02
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