Numerical modelling of internal erosion process in gravel soils based on the percolation analytical method
| Autor: | Zhuomin Li, Jinfeng Bi, Xianqi Luo, Hui Shen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Global and Planetary Change
0208 environmental biotechnology Monte Carlo method Soil Science Geology 02 engineering and technology Mechanics 010501 environmental sciences 01 natural sciences Pollution Instability Physics::Geophysics 020801 environmental engineering Percolation theory Percolation Soil water Erosion Environmental Chemistry Internal erosion 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology Network model |
| Zdroj: | Environmental Earth Sciences. 79 |
| ISSN: | 1866-6299 1866-6280 |
| Popis: | Internal erosion is a common form of damage in geomaterial structures that is caused by the migration of soil particles under a seepage flow. The geometrical characteristics of soil particles is regarded as the intrinsic factor for internal instability; thus, in this study, a network modelling technique is formulated for this purpose. The soil particles and pores are generalised into a network model according to their fractal gradations; thereafter, the percolation theory is applied to analyse this conceptual probabilistic model. The percolation and erosion backbones are simulated in the direct square bond percolation model through the extended Hoshen–Kopelman algorithm and direct electrifying algorithm. Monte Carlo experiments are conducted to analyse the internal erosion process in this network model. The extent of internal instability can be calculated quantitatively, and the deposition rate of transported particles in the mass conservation equation can be evaluated for further analysis. Compared with internal erosion tests, the percolation analytical method is in accordance with experimental results. This method provides fresh insights on the nature of internal erosion from a statistical perspective. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink