Experimental and machine learning approaches to investigate the effect of waste glass powder on the...
Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Using solid waste in building materials is an efficient approach to achieving sustainability goals. Also, the application of modern methods like artificial intelligence is gaining attention. In this regard, the flexural strength (FS) of cementitious composites (CCs) incorporating waste glass powder (WGP) was evaluated via both experimental and mach...
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Full title
Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar
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TN_cdi_plos_journals_2768663655
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2768663655
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0280761
