Abstract

Near-bed and pore space turbulent flows are beginning to be understood using new technologies and advances in direct numerical simulation (DNS) and large-eddy simulation (LES) techniques. However, the riverbed geometry that is used in many computational studies remains overly simplistic. Thus, this study presents the development of an artificial representation of a gravel riverbed matrix, and the assessment of how well it approximates a natural riverbed. A physical model of a gravel riverbed matrix that was 120 mm deep, 300 mm wide, and 2.048 m long was manufactured from cast acrylic. Additionally, a numerical approximation of the physical model was created and used for analysis. The pore matrix of the artificial riverbed was found to be comparable to that of a natural gravel riverbed in terms of its porosity and void ratio. The diameters of the artificial riverbed’s surface particles were found to vary less, with fewer irregularities, than those found for natural gravel riverbeds; yet, they were normally distributed similarly to natural riverbeds. A power spectral density function showed that the artificial riverbed exhibited a degree of roughness that was much lower than that found in nature. Thus, the hydraulic resistance and friction factor will both be lower than desired. These findings suggest that the novel methods that have been developed in this study can offer both the physical and numerical approximation of a gravel bed surface that is comparable to a natural gravel riverbed with low surface roughness, reduced particle size variance, and typical particle distribution and porosity.

Highlights

  • The grain size and distribution of particles forming a gravel riverbed determine its roughness, which drives near-bed turbulence [1,2,3] as well as in-bed microscopic pore turbulence

  • Any component of the artificial riverbed had to fit within these dimensions, it had to have ample space surrounding it to allow it to be readily fixed to the machine table

  • A CAD model of a gravel riverbed matrix 120 mm in depth, 300 mm wide, and 2.048 m long was created with an average particle diameter of 28 mm

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Summary

Introduction

The grain size and distribution of particles forming a gravel riverbed determine its roughness, which drives near-bed turbulence [1,2,3] as well as in-bed microscopic pore turbulence. The roughness of the riverbed and its pore structure are both paramount factors driving and affecting the near-bed turbulence structure at the riverbed itself, as well as the hydrodynamic and transport processes within the pore space. Pore space turbulence is believed to consist of pulsating jets whose direction and intensity depend on the Froude number of the interstitial flow [4]. Microscopic turbulent flow distorts the interstitial fluid velocity, which streamlines from horizontal (laminar flow conditions) toward vertical (turbulent flow conditions) by enhancing the effects of inertia on fluid particles, resulting in flow non-linearity within the riverbed. In order to quantify pore space, its occurrence in the form of large-scale energetic structures must first be explored.

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