Concrete compressive strength prediction using an explainable boosting machine model
Author:
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Elsevier BV
Subject
Materials Science (miscellaneous)
Reference51 articles.
1. Effect of polyethylene fiber content on workability and mechanical-anisotropic properties of 3D printed ultra-high ductile concrete;Ye;Constr. Build. Mater.,2021
2. Prediction of early compressive strength of mortars at different curing temperature and relative humidity by a modified maturity method;Sun;Struct. Concr.,2021
3. Effect of temperature and relative humidity on the development of the compressive strength of surface-layer cement mortar;Sun;Constr. Build. Mater.,2021
4. Machine learning prediction of mechanical properties of concrete: Critical review;Ben Chaabene;Constr. Build. Mater.,2020
5. Machine learning approaches for estimation of compressive strength of concrete;Hadzima-Nyarko;Eur. Phys. J.,2020
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