长江科学院院报 ›› 2019, Vol. 36 ›› Issue (4): 39-42.DOI: 10.11988/ckyyb.20171163

• 工程安全与灾害防治 • 上一篇    下一篇

基于空间分布的混凝土坝变形缺失信息估计方法

胡添翼   

  1. 上海市政工程设计研究总院 水利水运设计研究院, 上海 210098
  • 收稿日期:2017-10-10 修回日期:2017-11-23 出版日期:2019-04-01 发布日期:2019-04-18
  • 作者简介:胡添翼(1991-),男,江苏南通人,助理工程师,硕士,主要从事水工结构方面的研究工作。E-mail:hutianyi@smedi.com

A Method of Estimating Lacking Deformation Series of Concrete Dam Based on Spatial Distribution

HU Tian-yi   

  1. Division of Water Resources & Transport Design, Shanghai Municipal Engineering Design Institute, Shanghai 210098, China
  • Received:2017-10-10 Revised:2017-11-23 Online:2019-04-01 Published:2019-04-18

摘要: 混凝土坝变形监测数据是典型的时空数据,但是在工程实际中由于种种原因,一些测点的变形序列往往会出现遗漏、缺失等问题,为分析这些测点的变形情况带来了不便。从混凝土坝结构的整体性出发,基于数据缺失测点空间邻近的数据完整测点的变形序列,对其缺失段进行建模和估计,提出了空间邻近点回归插值法和空间反距离加权插值法。工程实例验证表明,提出的缺失信息估计方法操作简单明了,且具有较高的估计精度。

关键词: 混凝土坝, 时空数据, 数据缺失, 空间插值, 缺失信息估计方法

Abstract: As a typical spatio-temporal data, the monitoring data of concrete dam deformation in lack at some partial points would bring about inconveniences for deformation analysis. In this paper, we present a method of estimating the missing data of deformation sequence by proposing a spatial proximity point regression interpolation method and a space inverse distance weighted interpolation method based on integral deformation sequences of monitoring points in the vicinity of missing points. Engineering examples verifies that the method proposed in this paper is simple, clear, and is highly precise.

Key words: concrete dam, spatio-temporal data, missing data, spatial interpolation, estimation method for missing data

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