{"title":"Polar and Cartesian representations of mechanical quantities in granular materials","authors":"Chuang Zhao , Chengbo Li","doi":"10.1016/j.compgeo.2025.107632","DOIUrl":null,"url":null,"abstract":"<div><div>Characterizing mechanical quantities in granular materials is essential for understanding the relationship between macroscopic behavior and microstructural features. A key step in this process is the anisotropic decomposition of the spatial distributions of these quantities. However, studies on arbitrary-order anisotropic expansions are still scarce, and the problem remains challenging. Building on the introduction of projection operators, this study presents the expressions of irreducible tensor bases in two- and three-dimensional Cartesian coordinates and establishes the correspondence between Cartesian expansions and Fourier or spherical harmonic expansions in polar coordinates. A general theoretical framework is proposed for describing the distribution of mechanical quantities in both coordinate systems, together with the relations between the anisotropy coefficients in the two frames. Polar expansion coefficients, easy to compute, are converted into Cartesian coefficients with clearer physical meaning, allowing macroscopic properties to be explained by microscopic mechanical distributions. Finally, the theory is validated through discrete element simulations of 2D super-elliptic and 3D super-ellipsoidal systems, where stress and elastic modulus anisotropy are calculated to explain macroscopic properties. The proposed method simplifies anisotropy characterization without order limitations.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"189 ","pages":"Article 107632"},"PeriodicalIF":6.2000,"publicationDate":"2025-09-11","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/S0266352X25005816","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
Characterizing mechanical quantities in granular materials is essential for understanding the relationship between macroscopic behavior and microstructural features. A key step in this process is the anisotropic decomposition of the spatial distributions of these quantities. However, studies on arbitrary-order anisotropic expansions are still scarce, and the problem remains challenging. Building on the introduction of projection operators, this study presents the expressions of irreducible tensor bases in two- and three-dimensional Cartesian coordinates and establishes the correspondence between Cartesian expansions and Fourier or spherical harmonic expansions in polar coordinates. A general theoretical framework is proposed for describing the distribution of mechanical quantities in both coordinate systems, together with the relations between the anisotropy coefficients in the two frames. Polar expansion coefficients, easy to compute, are converted into Cartesian coefficients with clearer physical meaning, allowing macroscopic properties to be explained by microscopic mechanical distributions. Finally, the theory is validated through discrete element simulations of 2D super-elliptic and 3D super-ellipsoidal systems, where stress and elastic modulus anisotropy are calculated to explain macroscopic properties. The proposed method simplifies anisotropy characterization without order limitations.
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.