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Predicting tensile strength of spliced and non-spliced steel bars using machine learning- and regression-based methods
Author(s):
Hamed Dabiri
,
Ali Kheyroddin
,
Asaad Faramarzi
Publication date
Created:
March 2022
Publication date
(Print):
March 2022
Journal:
Construction and Building Materials
Publisher:
Elsevier BV
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Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
Sujith Mangalathu
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Seong-Hoon Hwang
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Jong-Su Jeon
(2020)
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A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Mahdi Shariati
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Mohammad Saeed Mafipour
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Behzad Ghahremani
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(2020)
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Machine learning study of the mechanical properties of concretes containing waste foundry sand
Ali Behnood
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Emadaldin Golafshani
(2020)
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Author and article information
Journal
Title:
Construction and Building Materials
Abbreviated Title:
Construction and Building Materials
Publisher:
Elsevier BV
ISSN (Print):
09500618
Publication date Created:
March 2022
Publication date (Print):
March 2022
Volume
: 325
Page
: 126835
Article
DOI:
10.1016/j.conbuildmat.2022.126835
SO-VID:
5faced42-69bf-4fa5-8d60-0a8cbe1b4fe9
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© 2022
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https://www.elsevier.com/tdm/userlicense/1.0/
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