Abstract
This paper suggests a new geometric modeling approach for discrete representation of a realistic pore-scale morphology using an amorphous non-Euclidian geometry of soil grains’ shape. The soil skeleton composition process follows a statistically-based consistent algorithm, which applies random non-repetitive soil skeleton morphology while keeping the same macro-scale geotechnical properties. The model parameters are determined such that both micro-scale indexes (as angularity, roundness and roughness) and macro-scale
outcomes (as phase and grading parameters) are correlated. The stability and the convergence of the solution is demonstrated in this paper upon 2D model. In addition, the model allows a direct representation of the amorphous pore space and can be used for further issues related to a non-homogeneous distribution of various materials (liquids or solids) in the porous medium.
outcomes (as phase and grading parameters) are correlated. The stability and the convergence of the solution is demonstrated in this paper upon 2D model. In addition, the model allows a direct representation of the amorphous pore space and can be used for further issues related to a non-homogeneous distribution of various materials (liquids or solids) in the porous medium.
| Original language | English GB |
|---|---|
| Title of host publication | Numerical Methods in Geotechnical Engineering IX, Volume 1: Proceedings of the 9th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2018), June 25-27, 2018, Porto, Portugal |
| Pages | 359 |
| Number of pages | 1 |
| State | Published - 2018 |