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November 16, 2025Computer-Aided Civil and Infrastructure Engineering

Simulation‐driven deep learning for rebar clutter elimination in ground‐penetrating radar images to detect backfill grout defects in segment linings

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Authors

CHChaemin HwangSYSeung-Hun YangYKYounseo Kim

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Overview

Simulation-driven approach improves image quality in ground-penetrating radar data, suggesting efficient grout defect detection.

Key Points

  • Deep learning techniques enhance detection of grout defects in ground-penetrating radar images, optimizing maintenance procedures.
  • U-Net 3+ model achieved high accuracy in reconstructing GPR images, improving clarity by eliminating rebar clutter.
  • Utilizing a simulated database for ground-penetrating radar training supports effective learning of defect characteristics.
  • Transfer learning from simulation-based data may enable practical applications in real-world engineering settings.],

Cite This Study

Hwang et al. (2025) studied this question.

synapsesocial.com/papers/692509ffc0ce034ddc35324dhttps://doi.org/10.1111/mice.70142
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