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Structural health monitoring (SHM) has increasingly relied on 3D data acquisition technologies such as LiDAR and photogrammetry. However, the conversion of raw point cloud data into actionable intelligence regarding structural defects—specifically cracks—remains a challenge due to noise, occlusion, and mesh topology complexities. This paper investigates the workflow within the VRMesh software framework for "Crack Upd"—defined here as the detection, updating, and propagation analysis of surface fractures. We propose an optimized pipeline utilizing VRMesh’s feature extraction tools to identify crack vertices, update mesh topology to represent voids accurately, and automate the quantification of crack geometry. Experimental results on concrete specimens demonstrate that the VRMesh framework offers a robust solution for non-contact crack documentation. vrmesh crack upd
VRMesh is a powerful 3D modeling and mesh editing software used in various industries such as engineering, architecture, and product design. It offers advanced tools for mesh editing, reverse engineering, and 3D modeling. If you’d like, I can instead: Structural health
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