Tunnel inspections require the detection of deformations in the tunnel geometry, cracks, delamination, and water inflow. Solutions for an automated detection of deformations, cracks and water inflow already exist and typically comprise mobile laser-scanners and cameras combined with deep learning methods. Delaminations on the other hand are often not visible on the surface and can’t be detected using these methods. The detection of delamination in tunnel linings is therefore up to date performed by manual hammering and acoustic detection. The results are time consuming and labor-intensive inspections, subjective measurements, poor comparisons over epochs and a low degree of digitization. We present a concept of a novel system that aims to replace the manual hammering for acoustic delamination detection using a remote sensing approach. A strong, pulsed laser serves as a hammer and creates a plasma induced shockwave on the concrete surface. If a delamination is present this shockwave excites characteristic, resonant vibrations. A second, narrow-linewidth laser is employed in a customized laser doppler vibrometer setup to remotely detect these vibrations via a coherent measurement technique. In combination with laser scanners and cameras, the laser based remote sensing technique has the potential to help automating the process of tunnel inspections by delivering objective data that can be used in deep learning-based evaluation methods and for building information modeling (BIM) compliant assessment. A first mobile prototype for measurements outside the lab has been developed and is being presented in detail.
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