Ku Meh, Ku Muhammad Firdaus (2023) Response surface methodology for prediction and optimisation of concrete properties containing coal bottom ash. Masters thesis, Universiti Tun Hussein Onn Malaysia.
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Abstract
The use of Coal Bottom Ash (CBA) as a sand substitute in concrete has become an interesting research topic due to its potential to produce sustainable concrete. Therefore, this study aims to predict and optimise the effect of adding CBA as a sand replacement with different water-cement ratio on the hardened properties of concrete at different curing ages using the Response Surface Method (RSM). Based on Central Composite Design (CCD) of RSM, 18 mixes of various combinations of the independent factors (water-cement ratio: 0.40─0.50, percentage of CBA replacement: 5─20%, and curing age: 28─56 days) were generated, and two responses (compressive strength and water absorption) were investigated. The results show that the 5% CBA replacement at a water-cement ratio of 0.40 produced the highest compressive strength. Nonetheless, it is weaker than control concrete. When the concrete mix has a water-cement ratio of 0.45 with lowest CBA replacement of 5%, the CBA concrete has a significant effect, which surpassed the control concrete. It has been observed that concrete with up to 20% CBA absorbs less water at all ages. The results of Analysis of Variance (ANOVA) and statistical validation methods showed that all models were robust, reliable, and significant. The coefficient of determination (R2) for both models is near to 1 (R² > 0.94) and variation data less than 5%, demonstrating that the suggested model equations can predict future observations. In a nutshell, the use of CBA as concrete materials could minimise the consumption of natural resources while preserving the environment. The implementation of RSM in the concrete industrial sector helps to save costs, save time, and make more efficient use of main power
Item Type: | Thesis (Masters) |
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Subjects: | T Technology > TH Building construction |
Depositing User: | Pn Sabarina binti Che Mat |
Date Deposited: | 22 Apr 2024 00:49 |
Last Modified: | 22 Apr 2024 00:49 |
URI: | http://eprintsthesis.uthm.edu.my/id/eprint/52 |
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