Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation
Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation
复制标题
结合液压驱动有限应变变形的植被土壤的数学和计算模型
DOI：
10.1016/j.compgeo.2020.103754
复制
发表时间：
2020
影响因子：
5.3
通讯作者：
Woodman N
中科院分区：
文献类型：
--
作者：
Woodman N
本文提出了一种新的根系土壤水力力学行为模型。这是一个物理为基础的模型，耦合有限应变土壤变形与非饱和水和空气流，同时改善现有的基于粘性的方法，机械根加固和经验土壤吸水方法通常用于处理生根斜坡。该模型表明，土壤水压力和土壤变形的动态强烈地依赖于根系吸水的物理和弹塑性土壤力学。根系吸水可引起吸力和相应的土壤收缩足够大，需要一个有限应变的方法。虽然这种变形可以改变固有的渗透率，水力传导率仍然由含水量决定。该模型采用同步气流，但这被证明是不重要的土壤-水动力学的条件下，假设在示例模拟。通过根应力张量和模拟根的机械作用被纳入到一个膨胀的土壤中，以显示根的张力是如何调动。所开发的模型可用于模拟实验室实验和全尺度植被边坡。
In this paper a new model for the hydro-mechanical behaviour of rooted soils is developed. It is a physically-based model that couples finite strain soil deformation with unsaturated water and air flow, while improving on existing cohesion-based approaches to mechanical root reinforcement and empirical soil water-uptake approaches typically used to deal with rooted slopes. The model is used to show that the dynamics of soil-water pressure and soil deformation depend strongly on the physics of the root-water uptake and the elasto-plastic soil mechanics. Root water uptake can cause suctions and corresponding soil shrinkage sufficiently large to necessitate a finite-strain approach. Although this deformation can change the intrinsic permeability, hydraulic conductivity remains dominated by the water content. The model incorporates simultaneous air-flow, but this is shown to be unimportant for soil-water dynamics under the conditions assumed in example simulations. The mechanical action of roots is incorporated via a root stress tensor and a simulation is used to show how root tension is mobilised within a swelling soil. The developed model may be used to simulate both laboratory experiments and full-scale vegetated slopes.
登录
查看更多内容
树木附近的季节性吸水量：数值和实验研究
DOI：
--
发表时间：
2006
期刊：
影响因子：
--
作者：
S. Rees;N. Ali
通讯作者：
N. Ali
影响因子：
5.6
作者：
Koebernick N;Huber K;Kerkhofs E;Vanderborght J;Javaux M;Vereecken H;Vetterlein D
通讯作者：
Vetterlein D
影响因子：
5.3
作者：
Ni, J. J.;Leung, A. K.;Shao, W.
通讯作者：
Shao, W.
影响因子：
2
作者：
K. Chen
通讯作者：
K. Chen
影响因子：
3.6
作者：
A. Tsiampousi;L. Zdravković;D. Potts
通讯作者：
A. Tsiampousi;L. Zdravković;D. Potts