M3C2-based deformation analysis of blast-resistant doors under explosive loads: A case study

This study explores the application of LiDAR technology for measuring deformation in blast-resistant doors under explosive loads, overcoming critical limitations of conventional sensors. This novel approach enables continuous deformation measurement across entire door surfaces, which was previously unattainable with traditional sensors. Utilizing LiDAR-generated point cloud data, a Multiscale Model-to-Model Cloud Comparison (M3C2) approach was employed to quantify displacements across entire door surfaces. The methodology involved pre- and post-blast LiDAR surveys, advanced point cloud registration, and statistical filtering to derive precise deformation maps. Results revealed mean displacements of 2.68 mm, 1.56 mm, 2.17 mm, and 2.95 mm for various door sections, demonstrating that comprehensive spatial analyses outperformed measurements obtained from laser displacement sensors. Notably, whereas laser sensors proved prone to damage and limited to discrete-point measurements, LiDAR exhibited resilience under blast-induced conditions, maintaining measurement integrity across entire surfaces. This research underscores the necessity of robust deformation assessment in high-risk environments, where operational safety hinges on structural integrity.