Scholarlink

<p>Determining the freezing fronts and evaluating the development of freezing walls can be crucial for ensuring the construction safety. Ground penetrating-radar (GPR) regarded as a rapid non-destructive detection method has been proved its potential capacity for identifying the freezing fronts. However, accurately locating the position of freezing fronts and defects remains significant challenges. Here we developed the theoretical and numerical models for GPR detecting freezing fronts using the correlation back-projection (CBP) method. These models were validated through an indoor GPR test using a 600&#xa0;MHz radar. The results indicate that the quality of GPR images can be significantly improved using the CBP method, enhancing the resolution in detecting and determining the frozen fronts and defects behind shield segments. It thus provides direct evidence that the CBP method can effectively reconstruct the electromagnetic (EM) waves responses and achieve high-resolution identification of freezing states. These findings highlight the potential of GPR in tunnel freezing engineering and suggest a new strategy for cooperative monitoring of freezing walls.</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

Detection of the Development of Artificial Freezing Walls in Shield Tunnels Using GPR and Correlation Back-Projection Algorithm

  • 期刊论文

  • 发表日期：

    2025年6月29日

查看全文
  • Xinhao Yu,
  • Zhuang Chen,
  • Diansen Yang,
  • Shaishai Zhao,
  • Fangzheng Li,
  • Wei Gao,
  • Linghui Kong,
  • Junwei Xu

摘要

Determining the freezing fronts and evaluating the development of freezing walls can be crucial for ensuring the construction safety. Ground penetrating-radar (GPR) regarded as a rapid non-destructive detection method has been proved its potential capacity for identifying the freezing fronts. However, accurately locating the position of freezing fronts and defects remains significant challenges. Here we developed the theoretical and numerical models for GPR detecting freezing fronts using the correlation back-projection (CBP) method. These models were validated through an indoor GPR test using a 600 MHz radar. The results indicate that the quality of GPR images can be significantly improved using the CBP method, enhancing the resolution in detecting and determining the frozen fronts and defects behind shield segments. It thus provides direct evidence that the CBP method can effectively reconstruct the electromagnetic (EM) waves responses and achieve high-resolution identification of freezing states. These findings highlight the potential of GPR in tunnel freezing engineering and suggest a new strategy for cooperative monitoring of freezing walls.