Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods-Reference-Cited by-同舟云学术

Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods

Published:2023-09-15 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Khan Arslan Qayyum^ORCID,Naveed Muhammad Huzaifa,Rasheed Muhammad Dawood,Miao Pengyong

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-023-08283-w.pdf

Reference57 articles.

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3. Chindaprasirt, P.; Chareerat, T.; Hatanaka, S.; Cao, T.: High-strength geopolymer using fine high-calcium fly ash. J. Mater. Civ. Eng. 23(3), 264–270 (2011). https://doi.org/10.1061/(asce)mt.1943-5533.0000161

4. Chindaprasirt, P.; Chalee, W.: Effect of sodium hydroxide concentration on chloride penetration and steel corrosion of fly ash-based geopolymer concrete under marine site. Constr. Build. Mater. 63, 303–310 (2014). https://doi.org/10.1016/j.conbuildmat.2014.04.010

5. Cong, X.; Zhou, W.; Elchalakani, M.: Experimental study on the engineering properties of alkali-activated GGBFS/FA concrete and constitutive models for performance prediction. Constr. Build. Mater. 240, 117977 (2020). https://doi.org/10.1016/j.conbuildmat.2019.117977

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