{"title":"Efficient prediction of strength and strain localisation in porous solids via microstructure-based limit analysis","authors":"Jonas Hund , Varvara Kouznetsova , Tito Andriollo","doi":"10.1016/j.mechmat.2024.105208","DOIUrl":null,"url":null,"abstract":"<div><div>A new method is presented to predict strength and strain localisation in solids containing voids or soft particles at reduced computational cost compared to traditional micro-mechanical approaches. The method leverages the fact that strain localisation in such materials occurs in the form of narrow shear bands connecting the voids. Accordingly, the model domain is discretised with rigid triangular blocks defined by the Delaunay triangulation of the void centroids. Deformation and energy dissipation are assumed to be confined to discontinuities of the velocity field introduced along the block edges, representing the narrow zones of strain localisation within the shear bands. The block velocities are computed within the framework of plastic limit analysis by minimising the total rate of internal work while ensuring compatible deformation across the solid. Accordingly, the predicted strength represents an upper bound. The adopted microstructure-based discretisation strategy effectively limits the number of potential discontinuities compared to similar methods proposed in the literature, thereby increasing the computational efficiency. To demonstrate the capabilities of the method, predicted macroscopic strength under uniaxial tension and strain localisation patterns in 2D porous microstructures with varying porosity fractions are compared to the finite element results.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"201 ","pages":"Article 105208"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanics of Materials","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167663624003004","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A new method is presented to predict strength and strain localisation in solids containing voids or soft particles at reduced computational cost compared to traditional micro-mechanical approaches. The method leverages the fact that strain localisation in such materials occurs in the form of narrow shear bands connecting the voids. Accordingly, the model domain is discretised with rigid triangular blocks defined by the Delaunay triangulation of the void centroids. Deformation and energy dissipation are assumed to be confined to discontinuities of the velocity field introduced along the block edges, representing the narrow zones of strain localisation within the shear bands. The block velocities are computed within the framework of plastic limit analysis by minimising the total rate of internal work while ensuring compatible deformation across the solid. Accordingly, the predicted strength represents an upper bound. The adopted microstructure-based discretisation strategy effectively limits the number of potential discontinuities compared to similar methods proposed in the literature, thereby increasing the computational efficiency. To demonstrate the capabilities of the method, predicted macroscopic strength under uniaxial tension and strain localisation patterns in 2D porous microstructures with varying porosity fractions are compared to the finite element results.
期刊介绍:
Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.