A LiDAR Point Cloud Data-Based Method for Evaluating Strain on a Curved Steel Plate Subjected to Lateral Pressure

Hyeon Cheol Jo1, Hong-Gyoo Sohn1, Yun Mook Lim1

  • 1Department of Civil and Environmental Engineering, Yonsei University, 50, Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.

Summary

This study introduces a novel method for structural health monitoring (SHM) using Light Imaging Detection and Ranging (LiDAR) to assess steel structure behavior. The technique combines 3D laser scanning data with finite element methods (FEM) for precise strain evaluation.

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