Songsong Meng, Maurizio Guadagnini, Giacomo Torelli, Iman Hajirasouliha, Kypros Pilakoutas
{"title":"Meso-scale phase-field modelling framework for predicting fracture propagation in concrete","authors":"Songsong Meng, Maurizio Guadagnini, Giacomo Torelli, Iman Hajirasouliha, Kypros Pilakoutas","doi":"10.1016/j.cma.2025.118281","DOIUrl":null,"url":null,"abstract":"<div><div>Capturing crack development in cementitious materials at the mesoscopic level is crucial for analysing crack patterns and failure mechanisms. This paper introduces a meso‑scale model for concrete that utilizes random packing to generate the geometry and spatial distribution of aggregate, interfacial transition zone (ITZ) and mortar. The Drucker-Prager yield criterion is introduced in this phase-field model to account for the elasto-plastic behaviour of the mortar and the ITZ. The spectral decomposition of the strain tensor is employed to model the asymmetric tension and compression damage behaviour of porous materials. The parameters of the proposed model are calibrated on experimental data obtained from compressive and flexural tests of concrete and mortar specimens, including detailed information on crack initiation and propagation. Finally, the model is validated against data from the literature including complex loading scenarios and stress fields, such as triaxial compression and compression-shear. The predictions show strong agreement with the experimental results, confirming that the proposed methodology effectively captures crack propagation in concrete. This work will lead to more accurate predictions of concrete cracking mechanisms and long-term behaviour.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"446 ","pages":"Article 118281"},"PeriodicalIF":7.3000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045782525005535","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Capturing crack development in cementitious materials at the mesoscopic level is crucial for analysing crack patterns and failure mechanisms. This paper introduces a meso‑scale model for concrete that utilizes random packing to generate the geometry and spatial distribution of aggregate, interfacial transition zone (ITZ) and mortar. The Drucker-Prager yield criterion is introduced in this phase-field model to account for the elasto-plastic behaviour of the mortar and the ITZ. The spectral decomposition of the strain tensor is employed to model the asymmetric tension and compression damage behaviour of porous materials. The parameters of the proposed model are calibrated on experimental data obtained from compressive and flexural tests of concrete and mortar specimens, including detailed information on crack initiation and propagation. Finally, the model is validated against data from the literature including complex loading scenarios and stress fields, such as triaxial compression and compression-shear. The predictions show strong agreement with the experimental results, confirming that the proposed methodology effectively captures crack propagation in concrete. This work will lead to more accurate predictions of concrete cracking mechanisms and long-term behaviour.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.