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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Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia
2024-01-01
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Series: | Advances in Civil and Architectural Engineering |
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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. |
format | Article |
id | doaj-art-a88b7c57f1a74e6b9beb66592821c8cf |
institution | Kabale University |
issn | 2975-3848 |
language | English |
publishDate | 2024-01-01 |
publisher | Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia |
record_format | Article |
series | Advances in Civil and Architectural Engineering |
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 |