Scholarlink

<p>Tunnel deformation is a direct manifestation of the stress redistribution of rock and soil masses, and high-precision monitoring of it is an important challenge in the field of geophysical engineering. This study applies the improved PS-InSAR technology to tunnel deformation monitoring, overcoming the limitations of traditional methods (such as total stations) with limited spatial coverage and poor continuity. Four core innovations enable millimeter-level precision breakthroughs: adaptive quality map fusion of coherence coefficient γ and phase derivative variance for dynamic reliable area partitioning; branch-cutting method optimization using residual point clustering and Canny forbidden-zone constraints reduces invalid paths by 40% while suppressing lining joint phase jumps; dynamic weighted least squares (WLS) model integrating weighted coherence with blast disturbance gradient achieves 52% high-frequency noise suppression and precise separation of short-period construction disturbance signals; 3D integral correction introduces DEM dynamic calibration projection coefficient k (improving by 30% in curved sections), reducing axial projection error from 15%-30% to &lt;5%. In the Yunnan Amai Tunnel field test, spatial resolution reaches 0.1m in sensitive zones with deformation inversion error &lt;5%, successfully capturing instantaneous blasting deformation (0.46–0.49mm) and structural trend displacement at the face. The monitoring accuracy is more than three times higher than traditional methods, providing reliable technical support for safety warnings in high-risk sections.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Tunnel Micro-deformation Monitoring Method Based on Improved PS-InSAR and Its Geophysical Application Analysis

  • 期刊论文

  • 发表日期：

    2026年3月11日

查看全文
  • Meng-wei Han,
  • Gu-hua Pu,
  • Jin-zhuang Wang,
  • Zi-heng Gao,
  • Xiao-qian Yang,
  • Bo Zhang,
  • Ba-he Yang,
  • Jun Ma,
  • Hai-yun Wang,
  • Yong-can Chen,
  • Xi-can Zhao,
  • Wei-jian Liu

摘要

Tunnel deformation is a direct manifestation of the stress redistribution of rock and soil masses, and high-precision monitoring of it is an important challenge in the field of geophysical engineering. This study applies the improved PS-InSAR technology to tunnel deformation monitoring, overcoming the limitations of traditional methods (such as total stations) with limited spatial coverage and poor continuity. Four core innovations enable millimeter-level precision breakthroughs: adaptive quality map fusion of coherence coefficient γ and phase derivative variance for dynamic reliable area partitioning; branch-cutting method optimization using residual point clustering and Canny forbidden-zone constraints reduces invalid paths by 40% while suppressing lining joint phase jumps; dynamic weighted least squares (WLS) model integrating weighted coherence with blast disturbance gradient achieves 52% high-frequency noise suppression and precise separation of short-period construction disturbance signals; 3D integral correction introduces DEM dynamic calibration projection coefficient k (improving by 30% in curved sections), reducing axial projection error from 15%-30% to <5%. In the Yunnan Amai Tunnel field test, spatial resolution reaches 0.1m in sensitive zones with deformation inversion error <5%, successfully capturing instantaneous blasting deformation (0.46–0.49mm) and structural trend displacement at the face. The monitoring accuracy is more than three times higher than traditional methods, providing reliable technical support for safety warnings in high-risk sections.