The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics
The present study is a continuation of a previously published by the authors. In Part I, mechanical data of Alkaline-treated natural fibers-reinforced plaster was examined using response surface methodology (RSM) statistics, while in this work (Part II), the data are analyzed using Artificial neural...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-10-01
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Series: | Journal of Natural Fibers |
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Online Access: | http://dx.doi.org/10.1080/15440478.2021.1964129 |
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author | Messaouda Boumaaza Ahmed Belaadi Mostefa Bourchak |
author_facet | Messaouda Boumaaza Ahmed Belaadi Mostefa Bourchak |
author_sort | Messaouda Boumaaza |
collection | DOAJ |
description | The present study is a continuation of a previously published by the authors. In Part I, mechanical data of Alkaline-treated natural fibers-reinforced plaster was examined using response surface methodology (RSM) statistics, while in this work (Part II), the data are analyzed using Artificial neural network (ANN) statistics. Many studies have focused on substituting synthetic fibers by natural fibers in plaster matrix. The present study reports ANN statistics data analysis on the mechanical properties of plaster and natural fibers. ANN and RSM methods are employed and their findings discussed. During this study, flexural properties of sodium hydroxide solution (NaOH)-treated natural fibers in plaster mortars were investigated. Experimental data effects were established by analysis of variance (ANOVA) method. Fiber length optimization and NaOH percentage treatment of fibers were also performed utilizing desirability function DF to obtain maximum flexural properties. Experimental results showed good agreement with those obtained statistically. The ANN and RSM models also have correlated highly to the experimental data. However, the ANN model proves more to be accurate. |
first_indexed | 2024-03-11T23:23:56Z |
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issn | 1544-0478 1544-046X |
language | English |
last_indexed | 2024-03-11T23:23:56Z |
publishDate | 2022-10-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Natural Fibers |
spelling | doaj.art-8adf07a500d94bdead0e61420b1dcc262023-09-20T13:04:29ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2022-10-0119148367838210.1080/15440478.2021.19641291964129The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM StatisticsMessaouda Boumaaza0Ahmed Belaadi1Mostefa Bourchak2Université 8 Mai 1945Faculté de Technologie UniversitéKing Abdulaziz UniversityThe present study is a continuation of a previously published by the authors. In Part I, mechanical data of Alkaline-treated natural fibers-reinforced plaster was examined using response surface methodology (RSM) statistics, while in this work (Part II), the data are analyzed using Artificial neural network (ANN) statistics. Many studies have focused on substituting synthetic fibers by natural fibers in plaster matrix. The present study reports ANN statistics data analysis on the mechanical properties of plaster and natural fibers. ANN and RSM methods are employed and their findings discussed. During this study, flexural properties of sodium hydroxide solution (NaOH)-treated natural fibers in plaster mortars were investigated. Experimental data effects were established by analysis of variance (ANOVA) method. Fiber length optimization and NaOH percentage treatment of fibers were also performed utilizing desirability function DF to obtain maximum flexural properties. Experimental results showed good agreement with those obtained statistically. The ANN and RSM models also have correlated highly to the experimental data. However, the ANN model proves more to be accurate.http://dx.doi.org/10.1080/15440478.2021.1964129natural fibersplasterartificial neural networkflexural propertiesoptimization |
spellingShingle | Messaouda Boumaaza Ahmed Belaadi Mostefa Bourchak The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics Journal of Natural Fibers natural fibers plaster artificial neural network flexural properties optimization |
title | The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics |
title_full | The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics |
title_fullStr | The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics |
title_full_unstemmed | The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics |
title_short | The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: Part II Optimization Comparison between ANN and RSM Statistics |
title_sort | effect of alkaline treatment on mechanical performance of natural fibers reinforced plaster part ii optimization comparison between ann and rsm statistics |
topic | natural fibers plaster artificial neural network flexural properties optimization |
url | http://dx.doi.org/10.1080/15440478.2021.1964129 |
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