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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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Main Author: Yee, Yi Zhen
Format: Academic Exercise
Language:English
English
Published: 2022
Subjects:
TA401-492 Materials of engineering and construction. Mechanics of materials
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
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spelling my.ums.eprints.351662023-03-06T08:29:49Z https://eprints.ums.edu.my/id/eprint/35166/ Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar Yee, Yi Zhen TA401-492 Materials of engineering and construction. Mechanics of materials 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. 2022 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/35166/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/35166/2/FULLTEXT.pdf Yee, Yi Zhen (2022) Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar. Universiti Malaysia Sabah. (Unpublished)
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic TA401-492 Materials of engineering and construction. Mechanics of materials
spellingShingle TA401-492 Materials of engineering and construction. Mechanics of materials
Yee, Yi Zhen
Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
description 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.
format Academic Exercise
author Yee, Yi Zhen
author_facet Yee, Yi Zhen
author_sort Yee, Yi Zhen
title Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
title_short Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
title_full Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
title_fullStr Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
title_full_unstemmed Application of response surface method (RSM) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (POFA) mortar
title_sort application of response surface method (rsm) in predicting the alkali silica expansion and alkali concentration of palm oil fuel ash (pofa) mortar
publishDate 2022
url 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/
_version_ 1760231392096026624
score 13.211869

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