文章摘要
戚 蓝, 王守甲, 傅长锋.短历时强降雨下边坡滑移特征时空分布规律的研究Journal of Water Resources and Water Engineering[J].,2018,29(6):190-195
短历时强降雨下边坡滑移特征时空分布规律的研究
Spatial and temporal distribution characteristics of slope-sliding under short duration high intensity rainfall
  
DOI:10.11705/j.issn.1672-643X.2018.06.29
中文关键词: 降雨强度  降雨类型  边坡滑移  时空分布规律  短历时强降雨
英文关键词: rainfall intensity  rainfall pattern  slop-sliding  spatial and temporal distribution characteristics  short duration high intensity rainfall
基金项目:
Author NameAffiliation
QI Lan1, WANG Shoujia1, FU Changfeng2 (1.天津大学 水利工程仿真与安全国家重点实验室 天津 3000722.水利部河北水利勘测设计研究院 天津 300143) 
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中文摘要:
      为了更好地进行边坡在极端降雨条件下的安全预警,探究边坡滑移特征在降雨过程中的发展规律,基于饱和-非饱和渗流理论和三维值模拟技术,以天津“720大暴雨”为典型,探讨了降雨强度和降雨类型对边坡滑移特征时空分布规律的影响。研究结果表明:不同降雨强度和降雨类型对边坡滑移特征的影响不同;降雨类型对边坡滑移特征的影响可归结于瞬时降雨强度和前期累计降雨量对边坡滑移特征的影响;在典型强降雨过程中,浅层土体进入饱和状态的速度和雨强正相关;孔隙水的消散速度和渗径长度呈负相关,支护结构的存在会减缓孔隙水的消散。本文可以为边坡在极端降雨下的安全预警和边坡工程的排水设计提供借鉴。
英文摘要:
      In order to better conduct the early safety warning of slope and explore the displacement evolution during the heavy rainfall, the influences of rainfall intensity and rainfall pattern on the temporal and spatial distribution of slope displacement were studied taking the heavy rainfall on 20, July 2016 in Tianjin as the example, and based on the saturated-unsaturated seepage theory and 3D FEM. The results showed that the degree of influence on slope displacements varies with rainfall intensity and rainfall pattern. The influence of rainfall pattern on slope displacement could attribute to the instantaneous rainfall intensity and the cumulative antecedent rainfall. During the process of a typical short duration high intensity rainfall, the time of the surface soil entering the saturation state is positively correlated with rain intensity. The dissipation of the pore water is negatively correlated with the seepage path length. The support structure will slow down the infiltration of the pore water. This study provides guidance for the early stage warning of the slope under heavy rainfall and drainage design of similar projects.
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