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南水北调中线大型跨(穿)河建筑物综合风险评价
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  • 英文篇名:Integrated risk evaluation of large river-crossing buildings in the Middle of the South-to-North Water Diversion Project
  • 作者:韩迅 ; 安雪晖 ; 柳春娜
  • 英文作者:HAN Xun;AN Xuehui;LIU Chunna;State Key Laboratory of Hydroscience and Engineering,Tsinghua University;Research Center for Sustainable Hydropower Development,China Institute of Water Resources and Hydropower Research;
  • 关键词:跨河建筑物 ; 风险识别 ; 神经网络 ; 动态风险 ; 风险指数
  • 英文关键词:river-crossing construction;;risk identification;;neural network;;dynamic risk;;risk index
  • 中文刊名:QHXB
  • 英文刊名:Journal of Tsinghua University(Science and Technology)
  • 机构:清华大学水沙科学与水利水电工程国家重点实验室;中国水利水电科学研究院水电可持续发展研究中心;
  • 出版日期:2018-04-27 15:25
  • 出版单位:清华大学学报(自然科学版)
  • 年:2018
  • 期:v.58
  • 基金:国家科技支撑计划项目(2015BAB07B07)
  • 语种:中文;
  • 页:QHXB201807005
  • 页数:11
  • CN:07
  • ISSN:11-2223/N
  • 分类号:33-43
摘要
该文基于南水北调中线工程大型跨(穿)河建筑物的设计和建设质量信息,考虑不同类型建筑物的个性信息和外部条件,包括施工质量,建筑物自身的特征参数以及周边水文、地质的主要控制性参数等,构建了合理的指标体系,建立了包括静态风险和动态风险在内的综合风险评价体系,对大型跨(穿)河建筑物运行潜在的风险进行分类分级。其中静态风险通过神经网络计算得到,动态风险考虑了对洪水、冰冻、冲刷和拉应力的评估,最后综合风险指数通过与文献中结果对比得到验证,并通过案例计算进一步评价了方法的合理性。
        An integrated static and dynamic risk evaluation system was developed to classify the potential risks of large river-crossing buildings over the South-to-North Water Diversion Project.The system constructs an index based on design and construction quality information,the characteristics of different types of buildings and external conditions including the hydrology and geology.The static risk is given by a neural network model while the dynamic risk is related to flood,freezing,flushing and tensile stress conditions.The integrated risk index compares well with results in the literature with good results given in a case study.
引文
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