Machine learning for predicting compressive strength of sustainable cement paste incorporating copper mine tailings as supplementary cementitious materials-Reference-Cited by-同舟云学术

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Machine learning for predicting compressive strength of sustainable cement paste incorporating copper mine tailings as supplementary cementitious materials

Published:2024-12 Issue: Volume:21 Page:e03373
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Kurniati Eka Oktavia,Zeng Hang,Latypov Marat I.,Kim Hee Jeong

Publisher

Elsevier BV

Reference78 articles.

1. Carbon dioxide emissions from the global cement industry;Worrell;Annu. Rev. Energy Environ.,2001

2. Co2 emissions from polish cement industry;Deja;Int. J. Greenh. Gas. Control,2010

3. Towards sustainable concrete;Monteiro;Nat. Mater.,2017

4. Low-co2 emission strategies to achieve net zero target in cement sector;Chaudhury;J. Clean. Prod.,2023

5. Reducing embodied carbon in concrete materials: a state-of-the-art review;Chen;Resour., Conserv. Recycl.,2023

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