{"title":"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","authors":"","doi":"10.1016/j.compgeo.2024.106768","DOIUrl":null,"url":null,"abstract":"<div><p>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 <em>CN</em>/(1 + <em>e</em>) for the considered particle shapes.</p></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of compressibility of rockfill materials using DEM: Role of sample size and boundary condition\",\"authors\":\"\",\"doi\":\"10.1016/j.compgeo.2024.106768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 <em>CN</em>/(1 + <em>e</em>) for the considered particle shapes.</p></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-09-19\",\"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/S0266352X24007079\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X24007079","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}
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.
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.