Print Email Facebook Twitter Evaluation of RRSB distribution and lognormal distribution for describing the particle size distribution of graded cementitious materials Title Evaluation of RRSB distribution and lognormal distribution for describing the particle size distribution of graded cementitious materials Author Gao, P. (TU Delft Materials and Environment; South China University of Technology) Zhang, Tong Sheng (South China University of Technology; Guangdong Low Carbon Technologies Engineering Center for Building Materials) Wei, Jiang Xiong (South China University of Technology; Guangdong Low Carbon Technologies Engineering Center for Building Materials) Yu, Qi Jun (South China University of Technology; Guangdong Low Carbon Technologies Engineering Center for Building Materials) Date 2018-05-15 Abstract Graded blended cement made of graded Portland cement (PC), blast furnace slag (BFS) and fly ash (FA) is attractive for cement production. For manufacturing graded blended cement, a suitable mathematical expression should be introduced to describe the particle size distribution (PSD) of its components and control the quality of graded blended cement. This study aims to evaluate Rosin-Rammler-Sperling-Bennet (RRSB) distribution and lognormal distribution for describing the PSD of the components of graded blended cement. RRSB distribution and lognormal distribution are used to fit the PSD of ungraded and graded PC, BFS and FA. It is found that lognormal distribution exhibits smaller fitting errors for describing the PSDs of graded PC, BFS, FA and ungraded FA. What is more, lognormal distribution exhibits good simplicity and popularity. Hence, it is recommended to use lognormal distribution to control the PSD of graded blended cement in manufacturing process. Subject Blast furnace slagFly ashGraded cementLognormal distributionPortland cementRRSB distribution To reference this document use: http://resolver.tudelft.nl/uuid:7396ab6d-f6a0-467a-8693-3f6862be522d DOI https://doi.org/10.1016/j.powtec.2018.01.079 Embargo date 2020-03-15 ISSN 0032-5910 Source Powder Technology, 331, 137-145 Part of collection Institutional Repository Document type journal article Rights © 2018 P. Gao, Tong Sheng Zhang, Jiang Xiong Wei, Qi Jun Yu Files PDF Powder_tech_pengao.pdf 1.49 MB Close viewer /islandora/object/uuid:7396ab6d-f6a0-467a-8693-3f6862be522d/datastream/OBJ/view