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Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

Crossref DOI link: https://doi.org/10.1016/j.cemconres.2018.09.006

Published Print: 2019-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Young, Benjamin A.

Hall, Alex

Pilon, Laurent https://orcid.org/0000-0001-9459-8207
Gupta, Puneet

Sant, Gaurav
Funding

Funding for this research was provided by:

National Science Foundation (1253269)
License Information

Text and Data Mining valid from 2019-01-01

Text and Data Mining valid from 2019-01-01

Accepted Manuscript valid from 2019-11-15
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This article is maintained by: Elsevier

Article Title: Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

Journal Title: Cement and Concrete Research

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cemconres.2018.09.006

Content Type: article

Copyright: © 2018 Elsevier Ltd. All rights reserved.

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