Modelling the influence of spent bleaching earth ash addition on the mortar property
There is a need to use reliable and faster methods for quantifying the characteristics of construction materials when the physical tests become not practical. Modelling method was attempted to see if it could predict the compressive strength of modified mortar subjected to few factors. It was done t...
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| Format: | Academic Exercise |
| Language: | English English |
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2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/35122/2/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/35122/1/FULLTEXT.pdf |
| _version_ | 1825715161920438272 |
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| author | Lee Jun Hong |
| author_facet | Lee Jun Hong |
| author_sort | Lee Jun Hong |
| collection | UMS |
| description | There is a need to use reliable and faster methods for quantifying the characteristics of construction materials when the physical tests become not practical. Modelling method was attempted to see if it could predict the compressive strength of modified mortar subjected to few factors. It was done through a design model of response surface methodology (RSM) built in Design-Expert 13 software. As spent bleaching earth ash (SBEA) is the least commonly used among the other known supplementary cementitious materials, it was used to modify the mortar in this study to popularize its usage. To initiate the predictive simulation, the laboratory result of tested mortar modified with SBEA of different sizes at different cement replacement content and testing ages was obtained. The SBEA sizes were categorized original (unground) size and ground size. The SBEA content used to replace the cement in mortar was ranged between 10% and 50%. The testing ages of produced mortar were 7 days, 28 days and 90 days. The prediction values given by the model simulation were displayed in different graphical plots and then compared to the actual values through statistical measures. The simulation prediction accuracy was supported by analysis of variance (ANOVA). After applying the practical constraints, the optimization result proposed the suitable SBEA content in the range of 10–50% to give the optimal ultimate compressive strength to the modified mortar. From the result, it shows that 27.56% unground SBEA and 50% ground SBEA gave the best 90-day compressive strength to the modified mortar. In the simple words, this study predicted the compressive strength of mortar modified with SBEA of different sizes at different ages to determine the optimal usage content of SBEA. |
| first_indexed | 2024-03-06T03:22:37Z |
| format | Academic Exercise |
| id | ums.eprints-35122 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:22:37Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ums.eprints-351222023-03-06T08:43:19Z https://eprints.ums.edu.my/id/eprint/35122/ Modelling the influence of spent bleaching earth ash addition on the mortar property Lee Jun Hong TA1-2040 Engineering (General). Civil engineering (General) There is a need to use reliable and faster methods for quantifying the characteristics of construction materials when the physical tests become not practical. Modelling method was attempted to see if it could predict the compressive strength of modified mortar subjected to few factors. It was done through a design model of response surface methodology (RSM) built in Design-Expert 13 software. As spent bleaching earth ash (SBEA) is the least commonly used among the other known supplementary cementitious materials, it was used to modify the mortar in this study to popularize its usage. To initiate the predictive simulation, the laboratory result of tested mortar modified with SBEA of different sizes at different cement replacement content and testing ages was obtained. The SBEA sizes were categorized original (unground) size and ground size. The SBEA content used to replace the cement in mortar was ranged between 10% and 50%. The testing ages of produced mortar were 7 days, 28 days and 90 days. The prediction values given by the model simulation were displayed in different graphical plots and then compared to the actual values through statistical measures. The simulation prediction accuracy was supported by analysis of variance (ANOVA). After applying the practical constraints, the optimization result proposed the suitable SBEA content in the range of 10–50% to give the optimal ultimate compressive strength to the modified mortar. From the result, it shows that 27.56% unground SBEA and 50% ground SBEA gave the best 90-day compressive strength to the modified mortar. In the simple words, this study predicted the compressive strength of mortar modified with SBEA of different sizes at different ages to determine the optimal usage content of SBEA. 2022 Academic Exercise PeerReviewed text en https://eprints.ums.edu.my/id/eprint/35122/2/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/35122/1/FULLTEXT.pdf Lee Jun Hong (2022) Modelling the influence of spent bleaching earth ash addition on the mortar property. Universiti Malaysia Sabah. (Unpublished) |
| spellingShingle | TA1-2040 Engineering (General). Civil engineering (General) Lee Jun Hong Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title | Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title_full | Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title_fullStr | Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title_full_unstemmed | Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title_short | Modelling the influence of spent bleaching earth ash addition on the mortar property |
| title_sort | modelling the influence of spent bleaching earth ash addition on the mortar property |
| topic | TA1-2040 Engineering (General). Civil engineering (General) |
| url | https://eprints.ums.edu.my/id/eprint/35122/2/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/35122/1/FULLTEXT.pdf |
| work_keys_str_mv | AT leejunhong modellingtheinfluenceofspentbleachingearthashadditiononthemortarproperty |