利用 DEM 勘测填石材料的可压缩性:样本大小和边界条件的作用

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Geotechnics Pub Date : 2024-09-19 DOI:10.1016/j.compgeo.2024.106768
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引用次数: 0

摘要

由于样本大小的影响,通过实验室测试了解填石材料的原位行为具有挑战性。本研究采用离散元素法 (DEM) 在宏观和微观尺度上研究了样本大小和边界条件对填石材料可压缩性的影响。结果表明,当采用刚性边界时,填石材料的可压缩性随样本尺寸增大而增大,但周期性边界对样本尺寸无明显影响。此外,在刚性边界条件下,不同初始填料的一维压缩行为随样品尺寸的变化而变化,方差随尺寸的增大而减小;但在周期性边界条件下,这种影响可以忽略不计。此外,在刚性边界条件下,接触数的分布均匀性和织物的各向异性都会随着样品尺寸的增大而增加。从微观层面可以看出,对于所考虑的颗粒形状,颗粒材料的样品尺寸效应与单位体积配位数 CN/(1 + e) 相关。
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Investigation of compressibility of rockfill materials using DEM: Role of sample size and boundary condition

Understanding the in-situ behavior of rockfill materials through laboratory tests is challenging due to the influence of sample size. In this study, the discrete element method (DEM) is utilized to investigate the effects of sample size and boundary condition on the compressibility of rockfill materials at both macroscopic and microscopic scales. The results reveal that rockfill compressibility increases with sample size when rigid boundaries are applied, but no significant size effect is observed for periodic boundaries. Besides, the one-dimensional compression behavior of different initial packing varies with sample size under rigid boundaries, with the variance decreasing as size increases; however, this effect is negligible under periodic boundaries. Additionally, both the distribution uniformity of contact number and fabric anisotropy increase with increasing sample size under rigid boundary conditions. At a microscopic level, it can be observed that the sample size effect of granular materials is correlated to the coordination number per unit volume CN/(1 + e) for the considered particle shapes.

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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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