Damage Detection and Monitoring of a Concrete Structure Using 3D Laser Scanning
| Autor: | Manik Das Adhikari, Tae-Hwan Kim, Sang-Guk Yum, Joon-Yeong Kim |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Engineering Proceedings, Vol 36, Iss 1, p 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2673-4591 01029460 |
| DOI: | 10.3390/engproc2023036001 |
| Popis: | Surface damage detection, geometry measurement and monitoring are important for assessing the condition and risk of concrete structures. Therefore, to effectively assess the damage to a concrete structure, a 3D laser scanner accurately estimates the damage within a short timeframe and with less cost than the traditional inspection approaches. This study presents a framework for automated surface damage detection and structural health monitoring of a concrete structure using a X7 laser scanner (Trimble, Westminster, CO, USA). The methodology includes the use of 3D laser scanning technology to capture the 3D geometry of the concrete structure, followed by a detailed analysis of the data to identify any areas of damage or crack. The isodata and object-based image analysis (OBIA) techniques were applied to a 2D image generated from 3D cloud points. Overall accuracy (>89.6) and kappa statistics (>0.83) of both classification techniques exhibit good agreement between the classified and reference image. The OBIA technique was shown to be more effective in detecting minor cracks ( |
| Databáze: | Directory of Open Access Journals |
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