ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
abstract
The alkali activation of industrial by-products have the potential to reduce the carbon dioxide emissions form the cement industry and to develop alternative mortars and concretes with properties similar or better than the ones based on ordinarily Portland cement. The used of sodium carbonate as an activator for blast furnace slag offers potential advantages over other Alkali-Activated Materials (AAMs) in terms of environmental impact and cost. This study explores the use of statistical mixture design to determine what affects initial setting time and compressive strength in sodium carbonate activated blast furnace slag mortars. This experimental design approach allows for a more thorough analysis of the effects of the mortar components on response variables over the entire design space. In this study the amount of each component was restricted to certain values in order for the mixture to react and produce a mortar with acceptable mechanical strength and setting time. The mortars obtained were tested according to ASTM C403 and ASTM C109 standards for initial setting time and compressive strength. The statistical design and analysis was done using Design-Expert 9.0. This study finds that initial setting time and compressive strength of these materials are highly dependent on the composition of the materials and proposes a model for setting time and compressive strength prediction. It was found that the two-factor interactions with sodium carbonate are statistically significant in the compressive strength model but not in the initial setting time model. A typical sample was characterized by Scanning Electron Microscopy.
6. Conclusions
This research has shown it is possible to produce sodium carbonate activated blast furnace slag mortars that meet initial setting time and compressive strength required by ASTM standards. Mixtures with specific properties can be designed using the prediction equations stated above. Statistical mixture design provides a valuable tool to AAM researchers in predicting properties of a material over an area of interest. The use of the mixture model allows the properties of the mixture to be predicted from the components while the amount of the mixture is held constant. Sodium carbonate is a significant factor in the initial setting time. As the amount of sodium carbonate in the samples increased the initial setting time decreased. In the compressive strength model a more intricate relationship between sodium carbonate and the response was observed. It was so shown that the amount of amorphous SiO2 and the range of water used did not have a significant effect on the compressive strength of the samples. Further study of the causes of the two-factor interactions in the compressive strength analysis and the identification of the different phases detected by backscattered electron are areas of ongoing research.