Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks

This study examines the impact of civic garbage torched bottom ash (CGTBA), sisal fibre, and cement content on the compressed stabilized earth blocks (CSEB) with respect to their compressive strength and flexural strength. The properties are predicted using artificial neural network (ANN) analysis a...

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Main Authors: Abinaya Thennarasan Latha, Balasubramanian Murugesan
Format: Article
Language:English
Published: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia 2024-01-01
Series:Advances in Civil and Architectural Engineering
Subjects:
Online Access:https://hrcak.srce.hr/ojs/index.php/acae/article/view/32219/17192
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author Abinaya Thennarasan Latha
Balasubramanian Murugesan
author_facet Abinaya Thennarasan Latha
Balasubramanian Murugesan
author_sort Abinaya Thennarasan Latha
collection DOAJ
description This study examines the impact of civic garbage torched bottom ash (CGTBA), sisal fibre, and cement content on the compressed stabilized earth blocks (CSEB) with respect to their compressive strength and flexural strength. The properties are predicted using artificial neural network (ANN) analysis and response surface methodology (RSM). The study contributes to sustainable construction by emphasizing innovative solutions to reduce waste and improve building materials. The experiment includes four different cement concentrations (6 %, 8 %, 10 %, and 12 %), CGTBA contents (10 %, 20 %, 30 %, and 40 %), and sisal fibre contents (0,25 %, 0,50 %, 0,75 %, and 1,00 %). ANN models predict compressive and flexural strengths with high accuracy (R² values: 0,98189 and 0,94951, respectively). Optimization yields a desirability index of 0,724. A detailed comparison between actual and predicted values demonstrates close alignment, validating the ANN-RSM technique's efficacy in estimating responses and identifying influential parameters. Additionally, the ANN-RSM approach optimizes CSEB performance, providing valuable insights into parameter optimization. The use of CSEB stabilized with cement, CGTBA, and sisal fibre has the potential to transform into a sustainable approach to construction materials.
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publishDate 2024-01-01
publisher Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia
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spelling doaj-art-a88b7c57f1a74e6b9beb66592821c8cf2025-01-10T09:30:34ZengJosip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, CroatiaAdvances in Civil and Architectural Engineering2975-38482024-01-01152919321910.13167/2024.29.12Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocksAbinaya Thennarasan Latha0Balasubramanian Murugesan1School of Architecture and Interior Design, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu 603203, IndiaDepartment of Civil Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu 603203, IndiaThis study examines the impact of civic garbage torched bottom ash (CGTBA), sisal fibre, and cement content on the compressed stabilized earth blocks (CSEB) with respect to their compressive strength and flexural strength. The properties are predicted using artificial neural network (ANN) analysis and response surface methodology (RSM). The study contributes to sustainable construction by emphasizing innovative solutions to reduce waste and improve building materials. The experiment includes four different cement concentrations (6 %, 8 %, 10 %, and 12 %), CGTBA contents (10 %, 20 %, 30 %, and 40 %), and sisal fibre contents (0,25 %, 0,50 %, 0,75 %, and 1,00 %). ANN models predict compressive and flexural strengths with high accuracy (R² values: 0,98189 and 0,94951, respectively). Optimization yields a desirability index of 0,724. A detailed comparison between actual and predicted values demonstrates close alignment, validating the ANN-RSM technique's efficacy in estimating responses and identifying influential parameters. Additionally, the ANN-RSM approach optimizes CSEB performance, providing valuable insights into parameter optimization. The use of CSEB stabilized with cement, CGTBA, and sisal fibre has the potential to transform into a sustainable approach to construction materials.https://hrcak.srce.hr/ojs/index.php/acae/article/view/32219/17192compressed stabilized earth blockcompressive strengthflexural strengthartcivic garbage torched bottom ash
spellingShingle Abinaya Thennarasan Latha
Balasubramanian Murugesan
Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
Advances in Civil and Architectural Engineering
compressed stabilized earth block
compressive strength
flexural strength
art
civic garbage torched bottom ash
title Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
title_full Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
title_fullStr Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
title_full_unstemmed Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
title_short Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks
title_sort predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre reinforced earth blocks
topic compressed stabilized earth block
compressive strength
flexural strength
art
civic garbage torched bottom ash
url https://hrcak.srce.hr/ojs/index.php/acae/article/view/32219/17192
work_keys_str_mv AT abinayathennarasanlatha predictingandevaluatingtheengineeringpropertiesofcivicgarbagetorchedbottomashandsisalfibrereinforcedearthblocks
AT balasubramanianmurugesan predictingandevaluatingtheengineeringpropertiesofcivicgarbagetorchedbottomashandsisalfibrereinforcedearthblocks