Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment-Reference-Cited by-同舟云学术

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Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment

Published:2021-07 Issue: Volume:232 Page:109134
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Iqbal Mudassir,Zhang Daxu^ORCID,Jalal Fazal E.,Faisal Javed Muhammad

Funder

National Natural Science Foundation of China

Shanghai Jiao Tong University

State Key Laboratory of Ocean Engineering

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference110 articles.

1. Temperature and environmental effects on glass fibre rebar: modulus, strength and interfacial bond strength with concrete;Abbasi;Compos. B Eng.,2005

2. Bond behavior of fiber reinforced polymer bars under direct pullout conditions;Achillides;J. Compos. Construct.,2004

3. Characterization of Design Parameters for Fiber Reinforced Polymer Composite Reinforced Concrete Systems;Aguiniga Gaona,2004

4. A review on durability of fiber reinforced polymer (FRP) bars reinforced seawater sea sand concrete;Ahmed;Construct. Build. Mater.,2020

5. Performance comparison of SVM and ANN in predicting compressive strength of concrete;Akande;IOSR J. Comput. Eng.,2014

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