{"title":"基于矿物颗粒能量演化的岩石多尺度损伤本构模型及其应用","authors":"Biaohe Zhou , Cheng Zhao , Huiguan Chen , Jinquan Xing","doi":"10.1016/j.compgeo.2025.107638","DOIUrl":null,"url":null,"abstract":"<div><div>This study employs a phase-field method that considers mineral distribution to analyze the energy evolution of grains, establishing a multiscale damage constitutive model of rock on the basis of the energy laws of mineral grains. The proposed constitutive model is applied to analyze slope stability, achieving multiscale coverage from the mineral grain scale to the engineering scale. Random classification of Voronoi polygons is used for mineral-scale modeling, incorporating the coupling of mineral plasticity and damage. The evolution of macroscopic damage is obtained through statistical analysis of mineral grain energy. By deriving the relationships between the statistical parameters and the macroscopic mechanical variables, the statistical laws of mineral grain energy are applied to constitutive modeling at the sample scale. A corresponding numerical algorithm is developed and applied to strength reduction deformation calculations for slopes. The results indicate that the mineral-scale simulation method effectively captures the nonlinear mechanical behavior and progressive failure process of rock. The stress and strain concentrations result in a right-skewness in the data distribution of the mineral grain strain energy density, which can be accurately described by a log-normal distribution. The mean parameter of the grain strain energy density is equal to the macroscopically homogenized strain energy density, whereas the variance parameter reflects the mesoscopic heterogeneity and can be linearly represented by the macroscopic damage variable. The constitutive model based on mineral grain energy evolution accurately captures damage evolution at the sample scale and closely fits the measured stress–strain curves. This research provides a reference for evaluating the mechanical properties of rock masses and for disaster prevention and control.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"189 ","pages":"Article 107638"},"PeriodicalIF":6.2000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiscale damage constitutive model of rock based on the energy evolution of mineral grains and its application\",\"authors\":\"Biaohe Zhou , Cheng Zhao , Huiguan Chen , Jinquan Xing\",\"doi\":\"10.1016/j.compgeo.2025.107638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study employs a phase-field method that considers mineral distribution to analyze the energy evolution of grains, establishing a multiscale damage constitutive model of rock on the basis of the energy laws of mineral grains. The proposed constitutive model is applied to analyze slope stability, achieving multiscale coverage from the mineral grain scale to the engineering scale. Random classification of Voronoi polygons is used for mineral-scale modeling, incorporating the coupling of mineral plasticity and damage. The evolution of macroscopic damage is obtained through statistical analysis of mineral grain energy. By deriving the relationships between the statistical parameters and the macroscopic mechanical variables, the statistical laws of mineral grain energy are applied to constitutive modeling at the sample scale. A corresponding numerical algorithm is developed and applied to strength reduction deformation calculations for slopes. The results indicate that the mineral-scale simulation method effectively captures the nonlinear mechanical behavior and progressive failure process of rock. The stress and strain concentrations result in a right-skewness in the data distribution of the mineral grain strain energy density, which can be accurately described by a log-normal distribution. The mean parameter of the grain strain energy density is equal to the macroscopically homogenized strain energy density, whereas the variance parameter reflects the mesoscopic heterogeneity and can be linearly represented by the macroscopic damage variable. The constitutive model based on mineral grain energy evolution accurately captures damage evolution at the sample scale and closely fits the measured stress–strain curves. This research provides a reference for evaluating the mechanical properties of rock masses and for disaster prevention and control.</div></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":\"189 \",\"pages\":\"Article 107638\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-09-12\",\"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/S0266352X25005877\",\"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/S0266352X25005877","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}
Multiscale damage constitutive model of rock based on the energy evolution of mineral grains and its application
This study employs a phase-field method that considers mineral distribution to analyze the energy evolution of grains, establishing a multiscale damage constitutive model of rock on the basis of the energy laws of mineral grains. The proposed constitutive model is applied to analyze slope stability, achieving multiscale coverage from the mineral grain scale to the engineering scale. Random classification of Voronoi polygons is used for mineral-scale modeling, incorporating the coupling of mineral plasticity and damage. The evolution of macroscopic damage is obtained through statistical analysis of mineral grain energy. By deriving the relationships between the statistical parameters and the macroscopic mechanical variables, the statistical laws of mineral grain energy are applied to constitutive modeling at the sample scale. A corresponding numerical algorithm is developed and applied to strength reduction deformation calculations for slopes. The results indicate that the mineral-scale simulation method effectively captures the nonlinear mechanical behavior and progressive failure process of rock. The stress and strain concentrations result in a right-skewness in the data distribution of the mineral grain strain energy density, which can be accurately described by a log-normal distribution. The mean parameter of the grain strain energy density is equal to the macroscopically homogenized strain energy density, whereas the variance parameter reflects the mesoscopic heterogeneity and can be linearly represented by the macroscopic damage variable. The constitutive model based on mineral grain energy evolution accurately captures damage evolution at the sample scale and closely fits the measured stress–strain curves. This research provides a reference for evaluating the mechanical properties of rock masses and for disaster prevention and control.
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.