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Exploring Statistical Characteristics of Single Sediment Particle Motion in Fluid Environments: Insights from Experimental Analysis

Author(s): Jianmin Wu; Jinghong Deng; Yi Xiao

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Keywords: Sediment transport; Statistical analysis; Experimental study; Flow condition analysis

Abstract: This paper conducts single sediment particle motion experiments based on a self-built experimental platform, aiming to explore the statistical characteristics of single sediment particle motion and provide important references for understanding particle behavior in fluid environments. Black glass beads with a specific gravity of 2.58 and a diameter of 10 mm are used as generalized sediment particles. Experimental conditions are designed based on the critical water flow intensity for the initiation of a single particle's motion. A sediment particle motion trajectory tracking algorithm is employed to capture experimental process data, and the statistical characteristics of single sediment particle motion are analyzed from the perspectives of temporal and probability density. The results indicate that the combined velocity of single sediment particles undergoes at least one alternating cycle of "acceleration-deceleration-acceleration," with the amplitude of the combined velocity increasing with increasing water flow conditions. The probability density distribution of lateral motion velocity conforms to a gamma distribution, and with the increase of relative water flow intensity, the skewness peak of the gamma distribution gradually shifts to the right. The probability density distribution of longitudinal motion velocity exhibits characteristics of a normal distribution, with the variance of the probability density distribution increasing trend with the increase of relative water flow intensity, while the peak value remains near zero. With the continuous increase of water flow intensity, the probability density distribution of particle motion transitions gradually from a negative binomial distribution to a positively skewed distribution, approaching a standard normal distribution.

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Year: 2024

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