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A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms

The current work presents a comparative study of hybrid models that use support vector machines (SVMs) and meta-heuristic optimization algorithms (MOAs) to predict the ultimate interfacial bond strength (IBS) capacity of fiber-reinforced polymer (FRP). More precisely, a dataset containing 136 experi...

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Autores principales: Khan, Kaffayatullah, Iqbal, Mudassir, Biswas, Rahul, Amin, Muhammad Nasir, Ali, Sajid, Gudainiyan, Jitendra, Alabdullah, Anas Abdulalim, Arab, Abdullah Mohammad Abu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370787/
https://www.ncbi.nlm.nih.gov/pubmed/35956611
http://dx.doi.org/10.3390/polym14153097
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author Khan, Kaffayatullah
Iqbal, Mudassir
Biswas, Rahul
Amin, Muhammad Nasir
Ali, Sajid
Gudainiyan, Jitendra
Alabdullah, Anas Abdulalim
Arab, Abdullah Mohammad Abu
author_facet Khan, Kaffayatullah
Iqbal, Mudassir
Biswas, Rahul
Amin, Muhammad Nasir
Ali, Sajid
Gudainiyan, Jitendra
Alabdullah, Anas Abdulalim
Arab, Abdullah Mohammad Abu
author_sort Khan, Kaffayatullah
collection PubMed
description The current work presents a comparative study of hybrid models that use support vector machines (SVMs) and meta-heuristic optimization algorithms (MOAs) to predict the ultimate interfacial bond strength (IBS) capacity of fiber-reinforced polymer (FRP). More precisely, a dataset containing 136 experimental tests was first collected from the available literature for the development of hybrid SVM models. Five MOAs, namely the particle swarm optimization, the grey wolf optimizer, the equilibrium optimizer, the Harris hawks optimization and the slime mold algorithm, were used; five hybrid SVMs were constructed. The performance of the developed SVMs was then evaluated. The accuracy of the constructed hybrid models was found to be on the higher side, with R(2) ranges between 0.8870 and 0.9774 in the training phase and between 0.8270 and 0.9294 in the testing phase. Based on the experimental results, the developed SVM–HHO (a hybrid model that uses an SVM and the Harris hawks optimization) was overall the most accurate model, with R(2) values of 0.9241 and 0.9241 in the training and testing phases, respectively. Experimental results also demonstrate that the developed hybrid SVM can be used as an alternate tool for estimating the ultimate IBS capacity of FRP concrete in civil engineering projects.
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spelling pubmed-93707872022-08-12 A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms Khan, Kaffayatullah Iqbal, Mudassir Biswas, Rahul Amin, Muhammad Nasir Ali, Sajid Gudainiyan, Jitendra Alabdullah, Anas Abdulalim Arab, Abdullah Mohammad Abu Polymers (Basel) Article The current work presents a comparative study of hybrid models that use support vector machines (SVMs) and meta-heuristic optimization algorithms (MOAs) to predict the ultimate interfacial bond strength (IBS) capacity of fiber-reinforced polymer (FRP). More precisely, a dataset containing 136 experimental tests was first collected from the available literature for the development of hybrid SVM models. Five MOAs, namely the particle swarm optimization, the grey wolf optimizer, the equilibrium optimizer, the Harris hawks optimization and the slime mold algorithm, were used; five hybrid SVMs were constructed. The performance of the developed SVMs was then evaluated. The accuracy of the constructed hybrid models was found to be on the higher side, with R(2) ranges between 0.8870 and 0.9774 in the training phase and between 0.8270 and 0.9294 in the testing phase. Based on the experimental results, the developed SVM–HHO (a hybrid model that uses an SVM and the Harris hawks optimization) was overall the most accurate model, with R(2) values of 0.9241 and 0.9241 in the training and testing phases, respectively. Experimental results also demonstrate that the developed hybrid SVM can be used as an alternate tool for estimating the ultimate IBS capacity of FRP concrete in civil engineering projects. MDPI 2022-07-29 /pmc/articles/PMC9370787/ /pubmed/35956611 http://dx.doi.org/10.3390/polym14153097 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khan, Kaffayatullah
Iqbal, Mudassir
Biswas, Rahul
Amin, Muhammad Nasir
Ali, Sajid
Gudainiyan, Jitendra
Alabdullah, Anas Abdulalim
Arab, Abdullah Mohammad Abu
A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title_full A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title_fullStr A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title_full_unstemmed A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title_short A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
title_sort hybrid svr-based prediction model for the interfacial bond strength of externally bonded frp laminates on grooves with concrete prisms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370787/
https://www.ncbi.nlm.nih.gov/pubmed/35956611
http://dx.doi.org/10.3390/polym14153097
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