{"title":"Small-strain shear modulus of granular materials and its dependence on stress states and fabric","authors":"Mingjin Jiang, Jun Yang","doi":"10.1016/j.compgeo.2025.107183","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a comprehensive study on the evolution of the small-strain shear modulus (<em>G</em>) of granular materials during hydrostatic compression, conventional triaxial, reduced triaxial, and <em>p</em>-constant triaxial tests using 3D discrete element method. Results from the hydrostatic compression tests indicate that <em>G</em> can be precisely estimated using Hardin’s equation and that a linear correlation exists between a stress-normalized <em>G</em> 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 (<em>SR</em>). The disparity between measured <em>G</em> and predicted <em>G</em>, as per empirical equations, is less than 10% within this range. However, once this threshold range is exceeded, <em>G</em> experiences a significant <em>SR</em> effect, primarily due to considerable adjustments in the specimen’s fabric. The study concludes that fabric information becomes crucial for accurate <em>G</em> prediction when <em>SR</em> threshold is exceeded. A stiffness-stress-fabric relationship spanning a wide range of <em>SR</em> is put forward by incorporating the influences of redistribution of contact forces, effective connectivity of fabric, and fabric anisotropy into the empirical equation.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"183 ","pages":"Article 107183"},"PeriodicalIF":5.3000,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X25001326","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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.