Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models-Reference-Cited by-同舟云学术

Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models

Published:2024-06-21 Issue:7 Volume:9 Page:
ISSN:2364-4176
Container-title:Innovative Infrastructure Solutions
language:en
Short-container-title:Innov. Infrastruct. Solut.

Author:

Sun Bochao,Huang Yuxiang,Liu Gaoyang,Wang Wei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Postdoctoral Research Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41062-024-01467-9.pdf

Reference45 articles.

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3. Sun B, Noguchi T, Cai G, Zhao W (2021) Effect of temperature and relative humidity on the development of the compressive strength of surface-layer cement mortar. Constr Build Mater 281:122626. https://doi.org/10.1016/J.CONBUILDMAT.2021.122626

4. Carino NJ, Lew HS (2004) The maturity method: from theory to application. Cem, Concr, Aggreg. https://doi.org/10.1061/40558(2001)17

5. Sun B, Noguchi T, Cai G, Chen Q (2021) Prediction of early compressive strength of mortars at different curing temperature and relative humidity by a modified maturity method. Struct Concr 22:E732–E744. https://doi.org/10.1002/suco.202000041