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arXiv Computer Vision By Mehrdad Shafiei Dizaji, Devin Harris

Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

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The paper introduces two non‑contact, vision‑based methods for detecting and quantifying structural defects in steel components. The first method uses high‑resolution laser scanning to create 3D point clouds, comparing measured and reference data to locate surface damage, measure geometric loss, and map defect geometry into finite element models. The second method combines full‑field surface deformation data from 3D digital image correlation with finite element model updating and topology optimization to infer subsurface defects from their effect on structural response. Experimental validation on steel‑beam specimens with controlled defects shows both approaches can accurately identify and quantify defect geometry, offering complementary insights for visible and subsurface damage assessment.

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