Small-strain shear modulus of granular materials and its dependence on stress states and fabric

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mingjin Jiang, Jun Yang
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Abstract

This paper presents a comprehensive study on the evolution of the small-strain shear modulus (G) of granular materials during hydrostatic compression, conventional triaxial, reduced triaxial, and p-constant triaxial tests using 3D discrete element method. Results from the hydrostatic compression tests indicate that G can be precisely estimated using Hardin’s equation and that a linear correlation exists between a stress-normalized G and a function of mechanical coordination number and void ratio. During the triaxial tests, the specimen fabric, which refers to the contact network within the particle assembly, remains almost unchanged within a threshold range of stress ratio (SR). The disparity between measured G and predicted G, as per empirical equations, is less than 10% within this range. However, once this threshold range is exceeded, G experiences a significant SR effect, primarily due to considerable adjustments in the specimen’s fabric. The study concludes that fabric information becomes crucial for accurate G prediction when SR threshold is exceeded. A stiffness-stress-fabric relationship spanning a wide range of SR is put forward by incorporating the influences of redistribution of contact forces, effective connectivity of fabric, and fabric anisotropy into the empirical equation.
颗粒材料的小应变剪切模量及其与应力状态和织物的关系
本文采用三维离散元方法,对颗粒材料在静水压缩、常规三轴、简化三轴和p-常数三轴试验过程中的小应变剪切模量(G)的演变进行了全面研究。静压试验结果表明,利用哈丁方程可以精确地估计出G值,应力归一化后的G值与力学配位数和孔隙率的函数呈线性相关。在三轴试验过程中,试样织物在应力比阈值范围内几乎保持不变,即颗粒组件内的接触网络。根据经验方程,实测G与预测G之间的差异在此范围内小于10%。然而,一旦超过这个阈值范围,G就会经历显著的SR效应,这主要是由于试样的织物进行了相当大的调整。研究得出结论,当SR阈值超过时,织物信息对准确预测G至关重要。通过将接触力重分布、织物有效连通性和织物各向异性的影响纳入经验方程,提出了一种跨越大SR范围的刚度-应力-织物关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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