基于粘贴式智能石块的边坡大变形监测方法
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TU47

基金项目:

国家自然科学基金资助项目(51208078);重庆市技术创新与应用示范项目(cstc2018jscx-msybX0028);重庆市基础与前沿应用研究计划(cstc2015jcyjA30008)。


Large slope deformation monitoring method based on pasted smart rock
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    边坡滑动大变形监测存在服役环境恶劣、传感器布设困难、需要精细维护、传感器的量程有限等问题。提出粘贴式智能石块的概念,发展基于粘贴式智能石块的边坡大变形监测方法,给出了基于粘贴式智能石块的边坡大变形监测的超宽带通信算法,通过推移加载的模型试验验证粘贴式智能石块的边坡大变形监测性能。结果表明:粘贴式智能石块的位移可反映边坡失稳滑动及坍塌的大变形演化,且与软尺常规测量结果的规律一致。

    Abstract:

    The existing slope deformation monitoring is often influenced by extreme harsh environment, difficult sensor layout and limited sensor range, etc. In this paper, the conception of pasted smart rock was put forward and a slope large deformation monitoring method using pasted smart rock was developed. Accordingly, the simplified algorithm of ultra-wide band (UWB) was given for the slope deformation monitoring method. The monitoring method was verified by landslide simulation system applied with driving force. The results show that the slope large deformation development and slope instability evaluation can by judged by pasted smart rock’s horizontal displacements, and the results are in accord with those of the monitoring assessment by soft film size. The proposed method can be used as reference in the further study and practical engineering monitoring.

    参考文献
    相似文献
    引证文献
引用本文

江胜华,宋韫皓,孙伟贺,陈欢,王浩,余浩.基于粘贴式智能石块的边坡大变形监测方法[J].重庆大学学报,2020,43(5):76-83,92.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-11-16
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-05-25
  • 出版日期:
文章二维码