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基于原型监测资料的特高拱坝变形实时风险率模型
引用本文:牛景太,姜 灵,邓志平,王志强,刘知远,张 阳. 基于原型监测资料的特高拱坝变形实时风险率模型[J]. 水资源与水工程学报, 2021, 32(5): 166-174
作者姓名:牛景太  姜 灵  邓志平  王志强  刘知远  张 阳
作者单位:(1.南昌工程学院 水利与生态工程学院, 江西 南昌330099; 2.南昌工程学院 信息工程学院, 江西 南昌330099)
基金项目:江西省教育厅科技项目(GJJ161096、GJJ180951、GJJ151100); 国家自然科学基金项目(51769017、51969018、52009054)
摘    要:混凝土坝风险率分析模型通常基于结构极限状态功能函数对单个监测点一维时间序列建模,未考虑变形监测点之间的相关性及多重共线性问题.基于原型监测资料,考虑各分区所有测点的相关性及不同分区变形之间的协同性,引入面板数据理论对特高拱坝监测点进行聚类分区,在拟定单测点风险率函数的基础上,提出计算特高拱坝变形分区单测点实时风险率的方...

关 键 词:特高拱坝  变形风险率  聚类分区  Copula函数  原型监测

Real time risk rate model for deformation of ultra high arch dams based on prototype monitoring data
NIU Jingtai,JIANG Ling,DENG Zhiping,WANG Zhiqiang,LIU Zhiyuan,ZHANG Yang. Real time risk rate model for deformation of ultra high arch dams based on prototype monitoring data[J]. Journal of water resources and water engineering, 2021, 32(5): 166-174
Authors:NIU Jingtai  JIANG Ling  DENG Zhiping  WANG Zhiqiang  LIU Zhiyuan  ZHANG Yang
Abstract:The risk rate analysis model of concrete dams is usually used for one dimensional time series of individual monitoring points based on the structure limit state function, without considering the correlation and multicollinearity between deformation monitoring points. Based on the prototype monitoring data, considering the correlation of all monitoring points in each partition and the synergy of the deformation in different partitions, the panel data theory is introduced for the cluster partition of the monitoring points of ultra high arch dams, and the calculation method of real time single monitoring point risk rate of ultra high arch dam deformation partition is proposed based on the estimated single monitoring point risk rate function. Then the overall real time risk rate analysis model of ultra high arch dams based on prototype monitoring data is further constructed combined with Copula function. The case analysis shows that the constructed model establishes the functional relationship between the actual deformation effect and the risk rate based on the dam long time series monitoring data. It can effectively analyze the deformation risk rate of each partition and the whole dam, and can objectively describe the basic law of the overall risk rate change of ultra high arch dams.
Keywords:ultra high arch dam   deformation risk rate   cluster partition   Copula function   prototype monitoring
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