Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Sustainable development might be promoted if waste eggshells are used in cement-based materials (CBMs) by decreasing waste disposal problems, CO2 emissions, and material costs. In this regard, experimental and machine learning (ML) strategies were used to assess the flexural strength (FS) of CBMs co...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509522008919 |
| _version_ | 1797799004371681280 |
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| author | Muhammad Nasir Amin Waqas Ahmad Kaffayatullah Khan Mohammed Najeeb Al-Hashem Ahmed Farouk Deifalla Ayaz Ahmad |
| author_facet | Muhammad Nasir Amin Waqas Ahmad Kaffayatullah Khan Mohammed Najeeb Al-Hashem Ahmed Farouk Deifalla Ayaz Ahmad |
| author_sort | Muhammad Nasir Amin |
| collection | DOAJ |
| description | Sustainable development might be promoted if waste eggshells are used in cement-based materials (CBMs) by decreasing waste disposal problems, CO2 emissions, and material costs. In this regard, experimental and machine learning (ML) strategies were used to assess the flexural strength (FS) of CBMs comprising waste eggshell powder (ESP). Initially, experimental methods were carried out to evaluate the FS of ESP-based CBMs. The acquired data was utilized to predict the FS by applying ML algorithms like a decision tree and an AdaBoost regressor. The efficacy of ML techniques was measured by comparing experimental and predicted FS and applying statistical checks and k-fold evaluations. The experiment outcomes demonstrated that the FS of CBMs was improved by the inclusion of ESP at lower replacement ratios. Additionally, based on the assessment of modeling results, the AdaBoost regressor model demonstrated a higher exactness in estimating the FS of CBMs containing ESP compared to the decision tree model. The assessment of error readings also indicated the higher precision of the AdaBoost regressor model than the decision tree. According to the feature importance analysis, the fine aggregate was the component with the lowest impact for FS, whereas cement had the prime impact. The findings showed that as opposed to using ESP as a cement replacement, using ESP as an FA replacement to keep FA in less quantity and cement in larger quantity would result in enhanced strength. The construction industry can gain from ML techniques since they allow for more time- and cost-effective approaches to assessing material attributes. |
| first_indexed | 2024-03-13T04:12:26Z |
| format | Article |
| id | doaj.art-5168c03f08a54b90b66ae138ed9cf605 |
| institution | Directory Open Access Journal |
| issn | 2214-5095 |
| language | English |
| last_indexed | 2024-03-13T04:12:26Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj.art-5168c03f08a54b90b66ae138ed9cf6052023-06-21T06:53:07ZengElsevierCase Studies in Construction Materials2214-50952023-07-0118e01759Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powderMuhammad Nasir Amin0Waqas Ahmad1Kaffayatullah Khan2Mohammed Najeeb Al-Hashem3Ahmed Farouk Deifalla4Ayaz Ahmad5Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia; Corresponding author.Department of Civil Engineering, COMSATS University Islamabad, Abbottabad 22060, PakistanDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi ArabiaDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi ArabiaDepartment of Structural Engineering and Construction Management, Future University in Egypt, New Cairo City 11835, EgyptMaREI Centre, Ryan Institute and School of Engineering, College of Science and Engineering, University of Galway, H91 TK33 Galway, IrelandSustainable development might be promoted if waste eggshells are used in cement-based materials (CBMs) by decreasing waste disposal problems, CO2 emissions, and material costs. In this regard, experimental and machine learning (ML) strategies were used to assess the flexural strength (FS) of CBMs comprising waste eggshell powder (ESP). Initially, experimental methods were carried out to evaluate the FS of ESP-based CBMs. The acquired data was utilized to predict the FS by applying ML algorithms like a decision tree and an AdaBoost regressor. The efficacy of ML techniques was measured by comparing experimental and predicted FS and applying statistical checks and k-fold evaluations. The experiment outcomes demonstrated that the FS of CBMs was improved by the inclusion of ESP at lower replacement ratios. Additionally, based on the assessment of modeling results, the AdaBoost regressor model demonstrated a higher exactness in estimating the FS of CBMs containing ESP compared to the decision tree model. The assessment of error readings also indicated the higher precision of the AdaBoost regressor model than the decision tree. According to the feature importance analysis, the fine aggregate was the component with the lowest impact for FS, whereas cement had the prime impact. The findings showed that as opposed to using ESP as a cement replacement, using ESP as an FA replacement to keep FA in less quantity and cement in larger quantity would result in enhanced strength. The construction industry can gain from ML techniques since they allow for more time- and cost-effective approaches to assessing material attributes.http://www.sciencedirect.com/science/article/pii/S2214509522008919Cement mortarCement replacementEggshell powderFlexural strength: building materialSustainable material |
| spellingShingle | Muhammad Nasir Amin Waqas Ahmad Kaffayatullah Khan Mohammed Najeeb Al-Hashem Ahmed Farouk Deifalla Ayaz Ahmad Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder Case Studies in Construction Materials Cement mortar Cement replacement Eggshell powder Flexural strength: building material Sustainable material |
| title | Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| title_full | Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| title_fullStr | Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| title_full_unstemmed | Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| title_short | Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| title_sort | testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder |
| topic | Cement mortar Cement replacement Eggshell powder Flexural strength: building material Sustainable material |
| url | http://www.sciencedirect.com/science/article/pii/S2214509522008919 |
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