Statistical modeling of lightweight concrete mixtures
This paper employed a statistical technique for modeling of lightweight concrete mixtures using palm oil clinker (POC) as aggregate. POC is obtained from by-product of palm oil milling. The material is still new and accurate determination of its properties is very difficult. This makes the mix desig...
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EuroJournals, Inc.
2023
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| _version_ | 1833350970961035264 |
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| author | Abdullahi M. Al-Mattarneh H.M.A. Mohammed B.S. |
| author2 | 57211016458 |
| author_facet | 57211016458 Abdullahi M. Al-Mattarneh H.M.A. Mohammed B.S. |
| author_sort | Abdullahi M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper employed a statistical technique for modeling of lightweight concrete mixtures using palm oil clinker (POC) as aggregate. POC is obtained from by-product of palm oil milling. The material is still new and accurate determination of its properties is very difficult. This makes the mix design of POC concrete a difficult task. Aggregate characterisation was conducted to determine the properties of palm oil clinker required for mix design. A central composite design (CCD) was used for the factor settings and mix design was conducted using absolute volume method. An experimental work was conducted involving 20 trial mixes at different factor and level combinations. Statistical modeling was done at 95% confidence interval. Test result shows that a polynomial model is adequate to predict the slump, air-dry density and compressive strength of POC concrete. The terms considered in the models were significant with p-values less than 0.05. The analysis of variance (ANOVA) shows that the developed models adequately fit the experimental data with a p-value for the regression less than 0.05. These statistics assures reasonable response prediction. Statistical approach has proved to be a useful tool for modeling of lightweight concrete mixture. � EuroJournals Publishing, Inc. 2009. |
| format | Article |
| id | my.uniten.dspace-30924 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | EuroJournals, Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-309242023-12-29T15:55:59Z Statistical modeling of lightweight concrete mixtures Abdullahi M. Al-Mattarneh H.M.A. Mohammed B.S. 57211016458 26666458600 57203590522 Aggregate Airdry density Compressive strength Concrete Mix design Model Slump This paper employed a statistical technique for modeling of lightweight concrete mixtures using palm oil clinker (POC) as aggregate. POC is obtained from by-product of palm oil milling. The material is still new and accurate determination of its properties is very difficult. This makes the mix design of POC concrete a difficult task. Aggregate characterisation was conducted to determine the properties of palm oil clinker required for mix design. A central composite design (CCD) was used for the factor settings and mix design was conducted using absolute volume method. An experimental work was conducted involving 20 trial mixes at different factor and level combinations. Statistical modeling was done at 95% confidence interval. Test result shows that a polynomial model is adequate to predict the slump, air-dry density and compressive strength of POC concrete. The terms considered in the models were significant with p-values less than 0.05. The analysis of variance (ANOVA) shows that the developed models adequately fit the experimental data with a p-value for the regression less than 0.05. These statistics assures reasonable response prediction. Statistical approach has proved to be a useful tool for modeling of lightweight concrete mixture. � EuroJournals Publishing, Inc. 2009. Final 2023-12-29T07:55:59Z 2023-12-29T07:55:59Z 2009 Article 2-s2.0-67649766734 https://www.scopus.com/inward/record.uri?eid=2-s2.0-67649766734&partnerID=40&md5=8d017125cf675a0e58da5b781f016572 https://irepository.uniten.edu.my/handle/123456789/30924 31 1 124 131 EuroJournals, Inc. Scopus |
| spellingShingle | Aggregate Airdry density Compressive strength Concrete Mix design Model Slump Abdullahi M. Al-Mattarneh H.M.A. Mohammed B.S. Statistical modeling of lightweight concrete mixtures |
| title | Statistical modeling of lightweight concrete mixtures |
| title_full | Statistical modeling of lightweight concrete mixtures |
| title_fullStr | Statistical modeling of lightweight concrete mixtures |
| title_full_unstemmed | Statistical modeling of lightweight concrete mixtures |
| title_short | Statistical modeling of lightweight concrete mixtures |
| title_sort | statistical modeling of lightweight concrete mixtures |
| topic | Aggregate Airdry density Compressive strength Concrete Mix design Model Slump |
| url_provider | http://dspace.uniten.edu.my/ |