Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
Alkali Silica Reaction (ASR) is a common phenomenon occurs in concrete. It is a reaction between the alkali content from cement and reactive aggregate that contains high in silica content with the present of water. This reaction caused the concrete to expand and crack due to the expansion of silica...
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| Format: | Academic Exercise |
| Language: | English English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/35166/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/35166/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/35166/ |
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| Summary: | Alkali Silica Reaction (ASR) is a common phenomenon occurs in concrete. It is a reaction between the alkali content from cement and reactive aggregate that contains high in silica content with the present of water. This reaction caused the concrete to expand and crack due to the expansion of silica gel developed in the concrete. Past studies revealed that alkali content in the pore solution can trigger the occurrence of ASR expansion. Therefore, by partial replacing sufficient amount of Palm Oil Fuel Ash (POFA) as Supplementary Cementitious Materials (SCM), the expansion of mortar can be reduced. However, justification and support for this statement are lacking as limited research on this topic. This is due to the reason that complicated laboratory works as well as time and cost ineffective on this works. Hence, Response Surface Method (RSM) using Design Expert 13 is introduced to enhance the performance of the work. Besides, this study also important in creating a sustainable environment and saving production cost when POFA is used as SCM in cement production. In this study, the independent variables are heat treatment temperature and POFA replacement dosage while alkalinity and ASR expansion are the response variables. Through RSM, predicted data and optimum POFA mix proportion were generated and developed for ASR mitigation. Relationship between independent variables on ASR mitigation also been studied using contour and 3D plots generated in RSM of Design Expert 13. Centered Composite Design (CCD) and Optimal (Custom) Design are the model used for the simulation. Based on the simulation, Quadratic model was adopted to analyze the response variables. From the analysis, it can be concluded that lower ASR expansion and alkalinity can be obtained when POFA is treated with high temperature and has higher replacement dosage. Lastly, limitations and recommendations on this study have provided to ensure the works can be improved in future study. |
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