Sediment transport over fixed deposited beds in sewers - An appraisal of existing models

Nalluri, C.; El-Zaemey, A. K.; Chan, H. L.

doi:10.2166/wst.1997.0654

Cited by 23 publications

(24 citation statements)

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“…However, for the particle movements in KCPs, the critical velocity was not considered because (1) the sizes of the infilling particles are significantly smaller than the fracture apertures ( m versus mm); (2) the movement of the eroded materials does not require a critical pressure gradient (or flow velocity) for most KCP infilling materials are soluble to water forming diluted solution, and (3) the fluid flow inside KCPs is generally much greater than the critical velocity of around 0-7.7 mm/s for the particle size of 1-10 m [33,34].…”

Section: Water Seepagementioning

confidence: 99%

Predicting Erosion-Induced Water Inrush of Karst Collapse Pillars Using Inverse Velocity Theory

et al. 2018

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Although the impact of Karst Collapse Pillars (KCPs) on water inrush has been widely recognized and studied, few have investigated the fluid-solid interaction, the particles migration inside KCPs, and the evolution feature of water inrush channels. Moreover, an effective approach to reliably predict the water inrush time has yet to be developed. In this work, a suite of fully coupled governing equations considering the processes of water flow, fracture erosion, and the change of rock permeability due to erosion were presented. The inverse velocity theory was then introduced to predict the water inrush time under different geological and flow conditions. The impact of four different controlling factors on the fracture geometry change, water flow, and inrush time was discussed in detail. The results showed that the inverse velocity theory was capable of predicting the occurrences of water inrush under different conditions, and the time of water inrush had a power relationship with the rock heterogeneity, water pressure, and initial particle concentration and an exponential relationship with the initial fracture apertures. The general approach developed in this work can be extended to other engineering applications such as the tunneling and tailing dam erosion.

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Section: Water Seepagementioning

confidence: 99%

Predicting Erosion-Induced Water Inrush of Karst Collapse Pillars Using Inverse Velocity Theory

et al. 2018

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“…(, ), May (), Alvarez (), El‐Zaemey (), Perrusquía (1992a), Perrusquía (1992b), Perrusquía (), Ab Ghani (), Nalluri, Ab Ghani, and El‐Zaemey (), Nalluri et al. (), Nalluri and Ab Ghani (), Ackers et al. (), Butler, May, and Ackers (), Butler et al.…”

Section: Self‐cleansing Design Based On Small Deposit Criterionunclassified

“…As examples from the literature, three models of El‐Zaemey (), Ab Ghani () and Nalluri et al. () are presented herein.…”

Section: Self‐cleansing Design Based On Small Deposit Criterionmentioning

confidence: 99%

“…Ab Ghani () highlighted the importance of optimum deposited bed thickness and indicated that although by increasing the deposited bed thickness sediment transport capacity increases, channel friction factor increases, significantly. Nalluri, El‐Zaemey, and Chan () applied May et al. () and Ackers () models on experimental data and concluded that they overestimate sediment transport rating for deposited bed condition.…”

Section: Introductionmentioning

confidence: 99%

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Self‐cleansing design of sewers: Definition of the optimum deposited bed thickness

Safari

Shirzad

2019

Water Environment Research

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Sediment deposits may influence the performance of the sewer systems. Sediments are the main store of pollutants which causes sewer systems overflows. In order to prevent the deposition of sediment in sewer systems, self‐cleansing design criteria are used. Among various criteria, “self‐cleansing with deposited bed” criterion is found appropriate for designing of large sewers. Allowing small thickness of deposited bed in large sewers decreases the required channel bed slope and construction costs. This study presents a bed load self‐cleansing model established on wide ranges of experimental data. Comparison of developed model with the existing models in the literature shows its higher performance on variety of data sources. Examples for the application of the model are presented, and design graphs and charts for different pipe sizes are proposed. As a result, the optimum deposited bed thickness is found 1%–5% of the pipe diameter; however, 1% is recommended for sewer pipes design. Practitioner points Nondeposition sediment transport condition with a bed deposit criterion is found appropriate for large sewer pipe design. The precision of a model is linked to the ranges of experimental data and parameters used for the models development. The optimum range of deposited bed thickness can be adopted in the range of 1% to 5% of the pipe diameter.

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“…Nalluri et al (1994) carried out an extensive experimental investigation of sediment transport in channels and developed empirical equations with high correlation coefficients. By using Alvarez-Hernandez (1990) and El-Zaemey (1991)'s data, Nalluri et al (1997) made an assessment of the existing sediment transport equations. Nalluri and Ota (2000) developed a new model for the sediment transport at the limit of deposition criterion based on physical concepts.…”

Section: Introductionmentioning

confidence: 99%

Design criteria for sediment transport in sewers based on self-cleansing concept

Ebtehaj

Bonakdari

Sharifi

2014

J. Zhejiang Univ. Sci. A

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This study of bed-load transport was undertaken on the basis of laboratory data in two states, i.e., limit of deposition and deposited bed, by using new design criteria, whereby, compared to earlier similar studies, fewer parameters were considered, yet with almost the same or in some cases an even greater level of accuracy. The modified criterion in the new design for transport in the limit of deposition was using only three dimensionless parameters, i.e., Froude number, volumetric concentration of sediment, and relative size of the grain. But the new design criterion applied to the deposited bed case used four dimensionless parameters, i.e., three parameters used for the preliminary case besides the relative thickness of sedimentation. Compared with other known relationships in sediment transport, the produced equations introduced here yield better results than previous studies. With the lessened number of parameters, the results are much easier to obtain.

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Sediment transport over fixed deposited beds in sewers - An appraisal of existing models

Cited by 23 publications

References 0 publications

Predicting Erosion-Induced Water Inrush of Karst Collapse Pillars Using Inverse Velocity Theory

Predicting Erosion-Induced Water Inrush of Karst Collapse Pillars Using Inverse Velocity Theory

Self‐cleansing design of sewers: Definition of the optimum deposited bed thickness

Design criteria for sediment transport in sewers based on self-cleansing concept

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