@article{(Open Science Index):https://publications.waset.org/pdf/10013053,
	  title     = {Effects of Particle Size Distribution of Binders on the Performance of Slag-Limestone Ternary Cement},
	  author    = {Zhuomin Zou and  Thijs Van Landeghem and  Elke Gruyaert},
	  country	= {},
	  institution	= {},
	  abstract     = {Using supplementary cementitious materials, such as ground granulated blast-furnace slag (GGBFS) and limestone to replace Portland cement (PC) is a promising method to reduce the carbon emissions from cement production. To efficiently use GGBFS and limestone, it is necessary to carefully select the particle size distribution (PSD) of the binders. This study investigated the effects of the PSD of binders on the performance of slag-limestone ternary cement. Based on the PSD parameters of the binders, three types of ternary cements with a similar overall PSD were designed, i.e., No.1 fine GGBFS, medium PC, and coarse limestone; No.2 fine limestone, medium PC, and coarse GGBFS; No.3. fine PC, medium GGBFS, and coarse limestone. The binder contents in the ternary cements were 50% PC, 40% slag, and 10% limestone. The mortar performance of the three ternary cements was investigated in terms of flow table value, strength at 28 days, carbonation resistance and non-steady state chloride migration resistance at 28 days. Results show that ternary cement with fine limestone (No.2) has the weakest performance among the three ternary cements. Ternary cements with fine slag (No.1) show an overall comparable performance to ternary cement with fine PC (No.3). Moreover, the chloride migration coefficient of ternary cements with fine slag (No.1) is significantly lower than the other two ternary cements.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {17},
	  number    = {4},
	  year      = {2023},
	  pages     = {172 - 175},
	  ee        = {https://publications.waset.org/pdf/10013053},
	  url   	= {https://publications.waset.org/vol/196},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 196, 2023},
	}