4.7 Article

The effect of permeability on the erosion threshold of fine-grained sediments

Journal

COASTAL ENGINEERING
Volume 163, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.coastaleng.2020.103813

Keywords

Sediment transport; Erosion threshold; Marine sediments; Permeability; Threshold shear stress; Model for predicting erosion threshold

Funding

  1. Australian Research Council's Centre of Excellence for Geotechnical Science and Engineering (CGSE)
  2. Fugro Chair in Geotechnics
  3. Lloyd's Register Foundation Chair in Offshore Foundations
  4. Centre of Excellence in Offshore Foundations
  5. Shell Chair in Offshore Engineering
  6. University of Western Australia (UWA) via the Department of Primary Industries and Regional Development (DPIRD)
  7. Western Australian Government, via the Department of Primary Industries and Regional Development (DPIRD)
  8. UWA
  9. Lloyd's Register Foundation
  10. Shell, via the Shell Chair in Offshore Engineering at UWA
  11. ARC Discovery Grants Program [DP130104535]

Ask authors/readers for more resources

Erosion of marine sediments is complex and affected by various soil properties, with permeability playing a crucial role in determining the threshold shear stress. A new model has been introduced to predict the threshold shear stress based on permeability and erosion rate, which has been shown to explain experimental data and align with existing literature. This model is advantageous because it considers changes in bulk soil parameters and their impact on permeability, providing a comprehensive understanding of erosion resistance in different marine sediments.
The erosion of marine sediments, although difficult to predict, can lead to important implications in offshore engineering, sedimentology and coastal management. Continued research is, therefore, warranted to compile high-quality erosion data from which to develop models to better predict the erosion resistance of different types of marine sediments. In this paper, dimensional analysis is performed to express the threshold shear stress as a function of a selection of soil properties that are commonly linked to the erosion process of sediments. To identify the dominant dimensionless group, an experimental investigation on the erosion threshold was carried out using fine-grained sediments that were systematically prepared to ensure variations in (i) particle size distribution (i.e. fines content), (ii) bulk density, and (iii) hydraulic permeability. The samples included silica, carbonate and marine sediments, each of which are expected to have limited or no clay-mineral content. The measurements were analysed and compared with existing literature and predictive models. It was found that marine sediment samples with limited fines content showed good agreement with the empirical Shields curve, irrespective of particle size distribution, bulk density and permeability. In contrast, for finer marine sediment it was found that variations in these soil properties modify the threshold shear stress away from the Shields curve. Across each of these parameters only permeability appeared to independently correlate with the observed range of threshold measurements. Motivated by this finding, a model is introduced to predict the threshold shear stress as a function of permeability and the reference erosion rate that is used to define when the threshold is reached. The resulting expression is shown to quantitatively explain the experimental data and is found to also agree with existing data from the literature for quartz sediments with a wide range in fines content. An apparent advantage of the new model is that it is consistent with existing studies that identify variations in threshold shear stress due to changes in bulk soil parameters - including fines content and bulk density - since each of these parameters also affect permeability.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available