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Title |
Optimum Mix Design of Alkali-Activated Cement Mortar Using Bottom Ash as Binder
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Keywords |
바텀애쉬 ; 알칼리 활성화 ; 압축강도 ; 최적 배합 ; 인공신경망 bottom ash ; alkali-activated ; compressive strength ; optimum mix design ; artificial neural network |
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Abstract |
In this research, the possibility of using bottom ash as a binder for the alkali-activated cement mortar is studied. Several experiments were performed to investigate the variation of the material properties according to the mix proportion. In the experimental program, the flowability and compressive strength were evaluated for various values of water/ash ratio, activator/ash ratio, sodium silicate to sodium hydroxide ratio, curing temperature, and the fineness of bottom ash as the main variables. The experimental results showed that high strength of 40 MPa or greater could be achieved in 60oC high temperature curing condition with proper flowability. For 20oC ambient temperature curing, the 28 days compressive strength of approximately 30MPa could be obtained although the early-age strength development was very slow. Based on the results, the range of optimized mix design of bottom-ash based alkali-activated cement mortar was suggested. In addition, using the artificial neural network analysis, the flowability and compressive strength were predicted with the difference in the mix proportion of the bottom-ash based alkali-activated cement mortar.
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