Article ; Online: Research on representation of particle size distribution for standard sands
Powder Technology. 2023 June, v. 424 p.118537-
2023
Abstract: The determination of favorite engineering indexes which are sufficient and necessary to reflect particle size distribution (PSD) is a key issue to bridge micro to macro behaviors of granular materials. Focusing on the continuous gradings, standard sand ... ...
Abstract | The determination of favorite engineering indexes which are sufficient and necessary to reflect particle size distribution (PSD) is a key issue to bridge micro to macro behaviors of granular materials. Focusing on the continuous gradings, standard sand is selected as a representative, and the data of six typical sands is firstly collected to establish a database of PSD. Secondly, the cumulative central beta distribution is adopted to describe grading curves of particles due to its greater flexibility and fewer parameters, and the physical validation of its parameters is analyzed further. Six combinations of five engineering indexes are respectively applied to calculate the parameters of cumulative central beta distribution. The deviation between the analysis results and the observed data is evaluated. The study reveals that mean particle size D₅₀ and coefficient of uniformity Cᵤ are the most proper combination to describe PSD and can be used to link the PSDs to micro-macro mechanical responses. |
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Keywords | databases ; particle size ; particle size distribution ; sand ; Granular materials ; Cumulative central beta distribution ; Standard sands ; Engineering indexes ; Deviation evaluation |
Language | English |
Dates of publication | 2023-06 |
Publishing place | Elsevier B.V. |
Document type | Article ; Online |
Note | Pre-press version |
ISSN | 0032-5910 |
DOI | 10.1016/j.powtec.2023.118537 |
Database | NAL-Catalogue (AGRICOLA) |
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