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基于耐久性的混凝土寿命预测方法研究进展
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  • 英文篇名:Research development on the service life prediction method on durability behavior of concrete
  • 作者:高升
  • 英文作者:GAO Sheng;State Key Laboratory of Rail Transit Engineering Informatization,China Railway Frist Survey and Design Institute Group Co.,Ltd.;
  • 关键词:混凝土 ; 寿命预测模型 ; 耐久性 ; 综述
  • 英文关键词:concrete;;service life prediction models;;durability;;review
  • 中文刊名:HLTF
  • 英文刊名:Concrete
  • 机构:中铁第一勘察设计院集团有限公司轨道交通工程信息化国家重点实验室;
  • 出版日期:2018-06-27
  • 出版单位:混凝土
  • 年:2018
  • 期:No.344
  • 基金:国家自然科学基金项目(51168031,51468039)
  • 语种:中文;
  • 页:HLTF201806007
  • 页数:6
  • CN:06
  • ISSN:21-1259/TU
  • 分类号:30-35
摘要
混凝土耐久性劣化导致其耐久寿命降低,这在国内外是一个普遍问题。气候和环境影响是重要的损伤因素。研究混凝土耐久性寿命预测对其结构使用寿命非常重要。讨论了已有主要的寿命预测模型,包括快速试验方法模型、基于材料性能劣化的数学模型和概率分析法模型。此外,基于以前的研究成果论述了混凝土耐久性寿命预测过程中需要注意的关键问题,并对其做了展望:综合确定混凝土结构耐久性的评定指标体系,并考虑指标间的相关性;考虑不同地区环境因素相对国家标准试验方法对耐久性影响的偏差;在室内试验时有必要建设人工模拟环境变化试验室;基于模型的寿命预测由确定型向可靠度型或概率型转变,注意提高参数估计的精确性。
        The durability deterioration of concrete cause the decrease of durable life,which is a common problem in China and abroad.The effect of climate and the environment is important factor.Studying the durability service life prediction of concrete is very important for service life of structure.The existing major service life prediction models were discussed,including rapid test method models,mathematical models based on the performance degradation of material and probability analysis models.In addition,the key issues of durability service life prediction process,which should need attention,were discussed based on previous research,and the prospect was also discussed.Determine the durability evaluation index system of concrete structure comprehensively,and considering the correlation between indicators.The durability influence of the environmental factors in different regions on the National Standard Test Method should be considered.In laboratory tests,it is necessary to build an artificial simulation environment change laboratory.The service life prediction based on the model should be changed to the deterministic or probabilistic type,and improve the accuracy of parameter estimation.
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