Monadi, M., Taghizadeh, H., Mohammadi, M. (2019). A three-dimensional numerical model to estimate the fall velocity of sediment particles. Journal of Advances in Environmental Health Research, (), -. doi: 10.22102/jaehr.2019.98697.1040

Mohsen Monadi; Hamed Taghizadeh; Mirali Mohammadi. "A three-dimensional numerical model to estimate the fall velocity of sediment particles". Journal of Advances in Environmental Health Research, , , 2019, -. doi: 10.22102/jaehr.2019.98697.1040

Monadi, M., Taghizadeh, H., Mohammadi, M. (2019). 'A three-dimensional numerical model to estimate the fall velocity of sediment particles', Journal of Advances in Environmental Health Research, (), pp. -. doi: 10.22102/jaehr.2019.98697.1040

Monadi, M., Taghizadeh, H., Mohammadi, M. A three-dimensional numerical model to estimate the fall velocity of sediment particles. Journal of Advances in Environmental Health Research, 2019; (): -. doi: 10.22102/jaehr.2019.98697.1040

A three-dimensional numerical model to estimate the fall velocity of sediment particles

Articles in Press, Accepted Manuscript , Available Online from 13 May 2019

^{}Department of Civil Eng., School of Water and Hydraulic Structures Eng., Urmia University, Urmia, Iran

Abstract

The fall velocity of sediment particles plays a key role in sediment transport studies. Researchers have attempted to determine the terminal fall velocity, and most of the studies in this regard have been based on experimental, quasi-experimental, and in-situ measurements. The present study aimed to use a numerical model to estimate the fall velocity of a single sediment particle in distilled and motionless water. We used spherical quartz particles with the diameters of 0.77, 1.09, 2.18, and 4.36 millimeters and density of 2,650 kg/m^{3}. The Flow-3D software was applied to estimate the fall velocity based on the environment of experiment by Ferguson and Church (2004) using the void of flow method. The main objective of this research was to demonstrate the power of the numerical model to simulate the fall velocity of sediment particles. To validate the results of the model, they were compared with the experimental results and 26 well-known publications during 1933-2016 using the root-square-mean and mean-absolute-percentage errors. The results showed good agreement between the experimental and numerical data. Therefore, the proposed numerical model could be used to determine the fall velocity of sediment particles with a wide range of diameters in the proposed environment and particle types.

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