Evaluation of RRSB distribution and lognormal distribution for describing the particle size distribution of graded cementitious materials

Journal article (2018)

Authors

P. Gao South China University of Technology, Materials and Environment - CEG
Tong Sheng Zhang South China University of Technology, Guangdong Low Carbon Technologies Engineering Center for Building Materials
Jiang Xiong Wei Guangdong Low Carbon Technologies Engineering Center for Building Materials, South China University of Technology
Qi Jun Yu South China University of Technology, Guangdong Low Carbon Technologies Engineering Center for Building Materials
Research Group
Materials and Environment (CEG) (TU Delft)
Copyright: © 2018 P. Gao, Tong Sheng Zhang, Jiang Xiong Wei, Qi Jun Yu
DOI: https://doi.org/10.1016/j.powtec.2018.01.079
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Published Date

15-05-2018

Language

English

Faculty

Civil Engineering & Geosciences

Department

Materials- Mechanics- Management & Design

Research Group

Materials and Environment

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.

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