中南大学学报（自然科学版）2025，Vol.56Issue(2)：586-597,12.DOI:10.11817/j.issn.1672-7207.2025.02.015
基于内聚力模型的混凝土受拉断裂数值模拟与概率本构模型
Cohesive model-based numerical simulation and probabilistic constitutive modeling of concrete tensile fracture
摘要
Abstract
A novel and efficient concrete random polygonal aggregate generation algorithm was proposed,the mesoscopic fracture behavior of concrete was explored based on the cohesive zone model,and a mesoscale probabilistic constitutive model for concrete under tension was established.Firstly,the mesoscale aggregate model was established by using Monte Carlo methods,and ray method was used to assess interference among polygons.Secondly,a global cohesive element insertion program was developed to explore the mesoscale fracture behavior of concrete through numerical simulation of a large number of random aggregate models,and the simulation results were experimentally verified.Finally,the impact of aggregate content and loading rate on the fracture behavior of concrete was analyzed,and a probabilistic mesoscale constitutive model for concrete under tension was established through statistical analysis of numerous test calculations.The results show that the use of the ray method effectively improves the efficiency and packing volume of random polygonal aggregates.The established mesoscale probabilistic mechanics constitutive model for concrete can reflect the variability in the concrete constitutive curves caused by the random arrangement of the aggregates.The tensile strength of concrete decreases linearing with the increase of the aggregate volume fraction,whereas the modulus of elasticity of concrete increases.The tensile strength of concrete increases significantly with the increase of the loading rate.关键词
混凝土/细观层次/随机骨料/内聚力模型/断裂行为Key words
concrete/mesoscopic level/random aggregates/cohesion model/fracture behavior分类
土木建筑引用本文复制引用
郭文华,冶桐杰,陈定市..基于内聚力模型的混凝土受拉断裂数值模拟与概率本构模型[J].中南大学学报（自然科学版）,2025,56(2):586-597,12.基金项目
国家自然科学基金资助项目(52078489) （52078489）
中南大学中央高校基本科研业务费专项资金资助项目(2023ZZTS0373)(Project(52078489)supported by National Natural Science Foundation of China （2023ZZTS0373）
Project(2023ZZTS0373)supported by the Fundamental Research Funds for the Central Universities of Central South University) （2023ZZTS0373）
