|
1000
|
Abstract/Summary
|
-
Structured soils with earthworm burrows are locally heterogeneous due to coatings along these biopore walls that are superimposed on the inter- and intra-aggregate pore network of the soil matrix. The partially compacted finer-textured and organic matter-rich coatings can limit the flow exchange between the macropores and the soil
matrix during preferential flow. Still unknown are dynamic hydro-mechanical interrelations in coating and matrix domains that affect stress–strain behaviour at the macroscopic scale. Such hydro-mechanic interactions may be described with the discrete element method (DEM) coupled with a two-phase pore finite volume (2PFV) approach if relevant pore structures are represented in the model. The objective was to develop a coupled DEM2PFV model together with a parameterization procedure. Major task was to create a parameterization procedure to calibrate micro parameters of the model by macro properties quantified from drainage experiments of soil samples with earthworm burrow wall coatings. The solid phase was modelled by particle aggregation creating inter and intra-aggregate pore network for the soil matrix in a cube of about 5 cm edge length and one side with the coating structure. This DEM model was
coupled with a 2PFV model to simulate hydro-mechanic effects during drainage. Sand box drainage experiments
were carried out on soil matrix and biopore samples with laser surface elevation measurements to obtain the
mechanical stress–strain macro parameters necessary for model calibration. The poly-dispersed DEM-2PFV
model was able to describe effects of two-phase air–water flow on stress–strain macro parameters. The micro
parameters (i.e., particle stiffness and bond strength) of the pore scale model were obtained from macro parameters of the primary and secondary stress–strain stages by training a random forest meta-estimator. The model was able to reproduce the pore network of coating material and the inter- and intra-aggregate pore network of
the matrix that are dynamically changing with the effective stress. The machine learning model revealed that the
bond strength among particles within aggregates governed the shrinkage of soil matrix, while the particle
stiffness of the coating material reduced the susceptibility of aggregate breakage producing a more stable interaggregated pore network during the drainage process. This study confirmed that coating material present in biopore surface increases the horizontal soil hydro structural stability. The microscale hydro-mechanic modelling
can be useful for finding flow exchange parameters inputs for upscaled models and correlating pore-scale parameters to experimentally determined stress–strain macro parameters.
|
