Investigation of the parallel gradation method based on response of ballast penetration into subgrade soil by discrete element method

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-07-11 DOI:10.1007/s40571-024-00795-y
Jie Zhang, Rusong Nie, Yongchang Tan, MaoTong Huang, Yafeng Li, Yipeng Guo
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Abstract

Treating ballast and subgrade soil as an integrated unit for sampling and loading has proven to be an effective method for investigating the interaction between ballast and subgrade soil. Given that direct testing of specimens containing large ballast is constrained by the capabilities of standard laboratory equipment, adopting a model material of smaller size is recommended. Parallel gradation method is widely used for this purpose. This study performed an evaluation of parallel gradation method based on the response of ballast penetration into subgrade soil. Discrete element models were developed to simulate the penetration of crushed ballast, featuring three different parallel gradations, into subgrade soil. On this basis, dynamic triaxial simulations were conducted on these models. By comparing the macroscopic and mesoscopic mechanical characteristics at different scaling ratio, the applicability of the parallel gradation method for assessing ballast penetration into subgrade soil was evaluated. At the macroscopic scale, the scaling ratio of crushed ballast significantly influences the axial, volumetric, and lateral deformations observed during penetration into subgrade soil. Specifically, a smaller average grain size of ballast correlates with reduced deformations in these specimens. The penetration of crushed ballast into subgrade soil significantly increases the porosity of subgrade soil, particularly at the interface between ballast and subgrade. This increase in porosity is more pronounced with larger average grain sizes of ballast. At the mesoscopic scale, larger average grain sizes of ballast lead to more localized high contact forces and more significant stress concentrations. The parallel gradation method substantially affects the mechanical properties of ballast penetration into subgrade soil, at both macroscopic and mesoscopic scales. Therefore, a cautious approach is necessary when relying on this method for precise assessments.

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基于离散元法对路基土中压载物渗透响应的平行分级法研究
事实证明,将道碴和路基土作为一个整体进行取样和加载是研究道碴和路基土之间相互作用的有效方法。由于直接测试含有大型道碴的试样受到标准实验室设备能力的限制,因此建议采用尺寸较小的模型材料。为此,平行分层法得到了广泛应用。本研究根据路碴渗入路基土的响应,对平行分级法进行了评估。建立了离散元件模型,以模拟具有三种不同平行分级的碾压道碴渗入路基土的情况。在此基础上,对这些模型进行了动态三轴模拟。通过比较不同缩放比下的宏观和中观力学特性,评估了平行分级法在评估碾压土渗入路基土中的适用性。在宏观尺度上,碾压道碴的缩放比会显著影响渗透到路基土壤过程中观察到的轴向、体积和侧向变形。具体来说,压载物的平均粒径越小,这些试样的变形就越小。碾碎的压载物渗入路基土壤后,会显著增加路基土壤的孔隙率,尤其是在压载物与路基的交界处。压载物平均粒径越大,孔隙率的增加越明显。在中观尺度上,压载物平均粒径越大,局部接触力越大,应力集中越明显。无论是在宏观尺度还是在中观尺度上,平行分级法都会对碴土渗入路基土体的力学性能产生重大影响。因此,在依靠这种方法进行精确评估时,必须谨慎从事。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
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.
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