Affiliation:
1. The National Key Laboratory of Water Disaster Prevention Hohai University Nanjing China
2. Jiangsu Key Laboratory of Coast Ocean Resources Development and Environment Security Hohai University Nanjing China
3. Virginia Institute of Marine Science, College of William & Mary Gloucester Point VA USA
4. Department of Ocean Sciences Inha University Incheon Republic of Korea
5. Coastal and Marine Systems Deltares Delft The Netherlands
6. State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin University Tianjin China
7. State Key Laboratory of Hydroscience and Engineering Tsinghua University Beijing China
Abstract
AbstractThe rheological behaviors of suspended sediments are crucial for investigating near‐bed particle dynamics; for these investigations, the viscosity of a highly concentrated suspension is primarily focused on quantifying its resistance to deformation. By using a rotational viscometer, the relationships between relative viscosities (ηr) for different sediment types and their volumetric concentrations (ϕ) are studied for low‐to high‐concentration slurries. The results show that the conventional Einstein formula for diluted sand severely underestimates ηr. In the case of pure silts and non‐cohesive quartz, ηr demonstrates a gradual linear increase, reaching values around order of 101 as ϕ increases within the range of 0.2–0.4. Meanwhile, the ηr values of clays exhibit an exponential rise before leveling off at a plateau. Specifically, the ηr values of kaolinite, montmorillonite, and bentonite rise with ϕ lower than 0.3 and reach to plateau of values of thousands, which rise more rapidly than chlorite and illite. The modified viscosity model based on Costa (2005, https://doi.org/10.1029/2005GL024303) agrees reasonably well with observations and produces similar ηr ∼ ϕ relationships. In addition, the model is coupled with a hydrodynamic model to simulate the deposition of a thickened tailings slurry and a one‐dimensional dam break. The proposed model performs well in predicting the quasi‐equilibrium profiles of the non‐Newtonian fluid, which are validated by available analytical solutions. The results suggest that future models should be focused on the effects of flow properties, especially for non‐Newtonian fluids, and on large‐scale modeling applications, which can increase the accuracy of predictions of the transport characteristics of sediments and pollutants in rivers, lakes, and coastal areas.
Publisher
American Geophysical Union (AGU)
Cited by
1 articles.
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