不同再生细骨料取代率下的再生混凝土单轴受压本构关系
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  • 英文篇名:Constitutive relationship of recycled concrete with different recycled fine aggregate repacement rates under uniaxial compression
  • 作者:谭艺帅 ; 彭有开 ; 吴徽
  • 英文作者:TAN Yishuai;PENG Youkai;WU Hui;Beijing Higher Institution Engineering Research Center of Civil Engineering Structure and Renewable Material,Beijing University of Civil Engineering and Architecture;
  • 关键词:再生混凝土 ; 再生细骨料取代率 ; 应力-应变全曲线 ; 单轴受压试验
  • 英文关键词:recycled concrete;;recycled fine aggregate replacement rate;;complete stress-strain curve;;uniaxial compression test
  • 中文刊名:HLTF
  • 英文刊名:Concrete
  • 机构:北京建筑大学工程结构与新材料北京市高等学校工程研究中心;
  • 出版日期:2019-03-27
  • 出版单位:混凝土
  • 年:2019
  • 期:No.353
  • 基金:国家自然科学基金项目(51608027;51378044)
  • 语种:中文;
  • 页:HLTF201903018
  • 页数:6
  • CN:03
  • ISSN:21-1259/TU
  • 分类号:70-75
摘要
为研究不同再生细骨料取代率的再生混凝土单轴受压本构关系,进行了再生细骨料取代率为0、30%、50%、100%的再生混凝土的单轴受压试验,并获得应力-应变试验全曲线,分析了再生细骨料取代率对抗压强度、弹性模量、峰值应变和极限应变的影响规律,并通过拟合得到再生混凝土弹性模量、峰值应变及应力-应变全曲线的计算表达式。研究表明,随着再生细骨料取代率增大,再生混凝土的抗压强度、弹性模量呈下降趋势,而峰值应变和极限应变增大;再生混凝土的应力-应变全曲线形状与普通混凝土相似,基于过镇海模型拟合得到的再生混凝土应力-应变全曲线与试验全曲线吻合较好。
        In order to study the uniaxial compressive constitutive relationship of recycled concrete with different recycled fine aggregate replacement rate,the uniaxial compression tests of recycled concrete with recycled fine aggregate replacement rate of 0,30%,50% and 100% were completed and the full curves of stress-strain tests were obtained.The effects of the recycled fine aggregate replacement rate on compressive strength,elastic modulus,peak strain and ultimate strain were analysed and the formulas of elastic modulus,peak strain and stress-strain full curve of recycled concrete were obtained by fitting.The results show that with the increase of recycled fine aggregate replacement rate,the strength and elastic modulus of the recycled concrete decrease,the peak strain and the ultimate strain increase.The stress-strain curves of recycled concrete are similar to those of the conventional concrete and the effect to fit the test stress-strain curve based on the model of GUO Zhenhai is better.
引文
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