Influence of bed roughness on sediment suspension: experimental and theoretical studies

Mazumder, B. S.; Ghoshal, Koeli; Dalal, D. C.

doi:10.1080/00221680509500119

Cited by 39 publications

(40 citation statements)

References 17 publications

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“…At medium velocity (101 cm/s), the log-skew-Laplace distribution appears to give the best-fit for bedload sediments among the three distributions. When the flow velocity was reduced to 68 cm/s, the grain size showed a log-normal distribution, whereas at an increased velocity (116 cm/s) the bedload sediments approached to reflect the identical distribution as the beds (Mazumder et al, 2005b) although the log-skewLaplace distribution was the best-fit one. It could therefore be deduced that, at both an intermediate and a relatively high velocity, the log-skewLaplace was the best-fit irrespective of the bed roughness.…”

Section: Discussionmentioning

confidence: 85%

“…10C1-10C5) with known grain-size distributions; these beds consisted of heterogeneous mixtures of particles ranging from 0.032 to 8 mm (Mazumder et al, 2005b), with different values of bed roughness. The roughness values of the various sediment beds were computed for the experiments based on the measure of D 65 (the sieve size for which 65% of the mixture by weight is finer).…”

Section: Methodsmentioning

confidence: 99%

“…Details of velocity, slopes, temperature and sediment data collected at different discharges (Q = 0.087, 0.148 and 0.175 m 3 /s) for all five sediment beds (Nos. 10C1-10C5) can be found in Mazumder et al (2001).…”

Section: Velocity Measurements and Bedload Samplingmentioning

confidence: 98%

“…The controlled velocity data were so close that it followed a single line to fit usual log-law, even for different values of bed roughness. The velocity data had been fitted to the log-wake law by the least square method, and the calculated velocities were consistent with the observed data for more than 85% of the flow depth (Mazumder et al, 2005b). The friction velocities (u ⁎ = 4.94, 6.45 and 7.35 cm/s) were determined by means of the fitted log-wake law for all three maximum velocities.…”

Section: Velocity Measurements and Bedload Samplingmentioning

confidence: 99%

“…An increase in sediment supply could increase the mobility of gravel fractions in stream bed, which could lead to bed degradation and preferential evacuation of this sediment from the river bed (Curran, 2007). Mazumder et al (2005b) investigated the effect of bed roughness on suspension above the sediment beds consisting of heterogeneous mixtures (sand/sand-gravel) in an experimental channel. However, they did not study the effects of bed roughness and flow discharge on sorting and on the pattern of grain-size distribution in the active layer.…”

Section: Previous Workmentioning

confidence: 99%

See 4 more Smart Citations

Grain-size distributions of bed load: Inferences from flume experiments using heterogeneous sediment beds

Ghoshal

Mazumder

Purkait

2010

Sedimentary Geology

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Section: Discussionmentioning

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Section: Velocity Measurements and Bedload Samplingmentioning

confidence: 98%

Section: Velocity Measurements and Bedload Samplingmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

See 3 more Smart Citations

Grain-size distributions of bed load: Inferences from flume experiments using heterogeneous sediment beds

Ghoshal

Mazumder

Purkait

2010

Sedimentary Geology

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Grain‐size distribution in open channel flow by mixing length approach

Pal

Ghoshal

2014

Environmetrics

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A mathematical model is developed by theoretical analysis for predicting the grain‐size distribution in suspension over sand and sand‐gravel beds. By including the viscous shear stress of sediment–fluid mixture and the Reynolds shear stress in terms of mixing length of sediment‐mixed fluid, a system of integrodifferential equations of velocity and suspension concentration is developed. The effect of hindered settling is considered in the settling velocity of sediment particle and the effect of particle–particle interaction is taken into account in the reference level. Apart from this, incipient motion probability, pick‐up probability and nonceasing probability of a sediment particle are included in the reference concentration. The proposed system of integrodifferential equations is converted into a system of first‐order differential equations, and the fourth‐order Runge–Kutta method has been adopted for solving the system of equations. The numerical solution of the proposed system reflects the behavior of fluid velocity and grain‐size distribution with changing vertical height over a sediment bed comprising nonuniform grain sizes. The computed values of velocity and grain‐size distribution are compared with a limited data set due to the unavailability of sufficient data in literature, and good agreement has been observed between them. The proposed model provides least errors in comparison to the other existing models in literature. Copyright © 2014 John Wiley & Sons, Ltd.

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Statistical characterization of circulation patterns and direction of turbulent flow over a waveform structure

Mazumder¹,

Mazumder²

2006

Environmetrics

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SUMMARYThe objective of this paper is to analyze statistically the turbulence characteristics of flow over an artificial waveform geometry in an open channel, using velocity data collected by 3-D acoustic doppler velocimeter (ADV). The joint distribution of velocity fluctuations have been studied and modeled using multivariate normal distribution, and its effectiveness is analyzed in the light of explaining turbulent bursting events, like sweeping and ejection. The relationship between the randomness in the directional variations of the 3-D velocity fluctuations and the intensity of circulation has been studied. We have exploited this relationship and used it in conjunction with the principles of statistical clustering for splitting the region of flow, into different spatially connected segments based on circulation patterns. Directional data analysis has been adopted to visualize the flow pattern over the entire test section, in particular, the circulation bubbles in the region of separated flow.

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Influence of bed roughness on sediment suspension: experimental and theoretical studies

Cited by 39 publications

References 17 publications

Grain-size distributions of bed load: Inferences from flume experiments using heterogeneous sediment beds

Grain-size distributions of bed load: Inferences from flume experiments using heterogeneous sediment beds

Grain‐size distribution in open channel flow by mixing length approach

Statistical characterization of circulation patterns and direction of turbulent flow over a waveform structure

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