Machine learning approach to predict the strength of concrete confined with sustainable natural FRP composites-Reference-Cited by-同舟云学术

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Machine learning approach to predict the strength of concrete confined with sustainable natural FRP composites

Published:2024-07 Issue: Volume:14 Page:100466
ISSN:2666-6820
Container-title:Composites Part C: Open Access
language:en
Short-container-title:Composites Part C: Open Access

Author:

Ali Talpur Shabbir,Thansirichaisree Phromphat,Poovarodom Nakhorn,Mohamad Hisham,Zhou Mingliang,Ejaz Ali^ORCID,Hussain Qudeer,Saingam Panumas

Funder

Thailand Science Research and Innovation

Publisher

Elsevier BV

Reference43 articles.

1. Performance and damages of reinforced concrete buildings during the October 23 and November 9, 2011, Van, Turkey, Earthquakes;Bayraktar;Soil Dyn. Earthquake Eng.,2013

2. Open-File Report 2010–1048;Eberhard,2010

3. Fiber-reinforced plastic jackets for ductility enhancement of reinforced concrete bridge columns with poor lap-splice detailing;Haroun;J. Bridge Eng.,2005

4. Re-examination of damage distribution in Adapazarı: structural considerations;Yakut;Eng. Struct.,2005

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using soft computing to forecast the strength of concrete utilized with sustainable natural fiber reinforced polymer composites;Asian Journal of Civil Engineering;2024-08-27

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