Prediction of the compressive strength of concrete made with soap factory wastewater using machine learning-Reference-Cited by-同舟云学术

Prediction of the compressive strength of concrete made with soap factory wastewater using machine learning

Published:2022-06-25 Issue:4 Volume:8 Page:5625-5638
ISSN:2363-6203
Container-title:Modeling Earth Systems and Environment
language:en
Short-container-title:Model. Earth Syst. Environ.

Author:

Mathurin Zoyem Gouafo^ORCID,Casimir Gouafo,Kisito Talla Pierre

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s40808-022-01445-z.pdf

Reference40 articles.

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2. ACI Committee 318 (2014) Building Code Requirements for Structural Concrete and Commentary. Consulté 23 mars 2022 (https://www.concrete.org/store/productdetail.aspx?ItemID=318U14&Language=English&Units=US_Units)

3. AFNOR (2013) NF EN 1008: 2003 mixing water for concrete—specification for sampling, testing and assessing the suitability of water, including water recovered from processes in the concrete industry, as mixing water for concrete. Consulté 20 mars 2022 (https://infostore.saiglobal.com/en-us/Standards/NF-EN-1008-2003-76462_SAIG_AFNOR_AFNOR_161604/)

4. Akpinar P, Uwanuakwa ID (2020) Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks. Mater Constr 70(337):209. https://doi.org/10.3989/mc.2020.02019

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