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引用次数: 0
摘要
受地质剖面中观察到的空间变异性的启发,本研究探索了使用离散元素法(DEM)捕捉分层空间变异性对整体土壤性能影响的可行性。研究了试样内堆积密度、颗粒杨氏模量(E)和摩擦特性(μ)的空间变化。研究发现,总体空隙率相似的试样表现出相似的小应变刚度和剪切行为。相比之下,配位数和颗粒应力传递对堆积密度的层间空间变化非常敏感。关于颗粒尺度 E 值的空间变异效应,本研究表明,空间变异会强烈影响单个层的刚度贡献。具体来说,E 值较高的层能够传递较大的应力和刚度。在摩擦特性的空间变异效应方面,在平均摩擦特性相似的试样中观察到了一定程度的剪切行为一致性,而摩擦特性较低的层被确定为潜在的初始失效连接点。总之,这项研究验证了使用 DEM 代码分析复杂颗粒系统的宏观行为和局部脆弱性的实用性,并对工程实践产生了深远影响。
Assessing the effect of layered spatial variability on soil behavior via DEM simulation
Motivated by the spatial variability observed in geological profiles, this study explored the feasibility of using discrete element method (DEM) to capture the effect of layered spatial variability into overall soil performance. The spatial variability of packing densities, particle Young’s modulus (E), and frictional properties (μ) within specimens was studied. It was observed that samples with similar overall void ratios exhibited comparable small-strain stiffness and shearing behaviors. In contrast, the coordination number and particle stress transmission demonstrated significant sensitivity to the layer-wise spatial variability in packing densities. Regarding the spatial variability effect of particle-scale E values, this study illustrates that spatial variability strongly affects the stiffness contributions of individual layers. Specifically, layers with higher E values are capable of transferring much stress and stiffness. For the spatial variability effect of frictional property, a degree of consistency in shearing behaviors was observed among specimens with similar average frictional characteristics, while layers with lower frictional property were identified as potential initial failure junctures. Overall, this study validates the utility of employing a DEM code for analyzing both the macroscopic behavior and localized vulnerabilities within complex granular systems, presenting profound implications for engineering practices.
期刊介绍:
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.