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混凝土轴拉加卸载随机损伤模型的建立与试验验证
引用本文:胡少伟,黄逸群.混凝土轴拉加卸载随机损伤模型的建立与试验验证[J].应用数学和力学,2017,38(6):652-662.
作者姓名:胡少伟  黄逸群
作者单位:1河海大学 力学与材料学院, 南京 210098;2南京水利科学研究院 材料结构研究所, 南京 210024
基金项目:The National Science Fund for Distinguished Young Scholars of China(51325904),The National Natural Science Foundation of China (51279111)国家杰出青年科学基金(51325904),国家自然科学基金(51279111)
摘    要:为了分析及深入探讨混凝土在受拉加载及卸载情况下的力学特性,基于随机损伤本构关系提出了一种混凝土轴拉加卸载模型,推导出了混凝土加卸载的应力 应变关系表达式.为了印证理论表达式,进行了混凝土轴向拉伸及加卸载的试验研究,测得了混凝土的材料参数及其相应的轴拉加卸载应力-应变曲线.结合模型的计算结果,对混凝土的轴拉加卸载试验结果进行了对比分析,结果表明:混凝土轴拉加卸载模型能够预测混凝土的极限强度,同时能描述混凝土的强度软化、加载过程中的弹模折减及卸载后的塑性变形.

关 键 词:混凝土    轴向拉伸    弹塑性    加卸载    细观弹簧模型
收稿时间:2016-08-16

A Stochastic Tensile Damage Model for Loading/Unloading of Concrete and Experimental Validation
HU Shao-wei,HUANG Yi-qun.A Stochastic Tensile Damage Model for Loading/Unloading of Concrete and Experimental Validation[J].Applied Mathematics and Mechanics,2017,38(6):652-662.
Authors:HU Shao-wei  HUANG Yi-qun
Institution:1College of Mechanics and Materials, Hohai University, Nanjing 210098, P.R.China;2Department of Materials and Structure Engineering, Nanjing Hydraulic Research Institute,Nanjing 210024, P.R.China
Abstract:To analyze the mechanical properties of concrete in the case of tensile loading and unloading,a stochastic elastoplastic tensile damage model of mesoscopic springs was proposed for the axial loading and unloading of concrete,with the loading and unloading stress-strain relationships of concrete deduced.To validate the rationality and accuracy of the model,an experimental research on axial tensile loading and unloading of concrete was carried out,where the concrete parameters and the stress-strain relationships were measured.Comparison between the experimental results and the calculation model results shows that,the model can well predict the ultimate tensile strength,meanwhile nicely depict the strength softening,the residual strain after unloading and the elastic modulus degradation of concrete.
Keywords:concrete  axial tension  elastoplasticity  loading and unloading  mesoscopic spring model
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