Technical Papers
Dec 10, 2011

Density Functions for Entrainment and Deposition Rates of Nonuniform Sediment

Publication: Journal of Hydraulic Engineering
Volume 138, Issue 7

Abstract

A model was developed for the prediction of the density functions of entrainment and deposition rates of nonuniform sediment. The model incorporated both statistical and deterministic parameters in its formulation. The model parameters were related to the hydraulic conditions of the flow and the properties of the sediment mixtures using dimensional and multivariate regression analyses. Laboratory experiments were conducted to identify the shape of the density functions for various grain-size fractions and to advance the theoretical formulations of the model. The experiments were also used to validate and estimate the model parameters. The experiments have shown that the density functions of the total entrainment and deposition rates can be approximated quite satisfactorily with the normal distribution curve; however, the density functions of the individual fractions within the sediment mixture depart from the normal distribution curve assuming various distributions. Therefore, the normal distribution equation was modified by introducing a bias-function to adjust the normal distribution curve to fit the distributions of various grain-size fractions within the sediment mixtures. The proposed model approximated satisfactorily the density functions of various grain-size fractions of the sediment mixtures. The deviation between the measured and predicted values was less than 25% for most of the fractions, which confirms the validity of the proposed approach for the prediction of the entrainment and deposition rates of various fractions.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 138Issue 7July 2012
Pages: 591 - 609

History

Received: Jul 16, 2011
Accepted: Dec 8, 2011
Published online: Dec 10, 2011
Published in print: Jul 1, 2012

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Mohamed Elhakeem [email protected]
Assistant Professor, Dept. of Civil Engineering, Abu Dhabi Univ., Abu Dhabi, 59911, UAE (corresponding author). E-mail: [email protected]
Jasim Imran, M.ASCE [email protected]
CEC Distinguished Professor, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, 300 Main St., Columbia, SC 29208. E-mail: [email protected]

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