Conference proceeding
Surface crack detection in concrete structures using video processing techniques
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XV, v 11593, pp 115932B-115932B-7
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Surface crack patterns are one of the earliest damage signs in concrete structures. Existing procedures to visually evaluate the damage rely on experts' judgment to interpret the existing cracks. The initial necessary step to quantify and automate this procedure is crack detection. Precise crack detection provides a reliable basis to update the structural parameters and to predict future behavior. Several methods have been investigated to detect cracks based on image processing methods; but, there are several limitations and inaccuracies in these methods. In a number of cases, recordings during damage occurrence are available. The videos comprise not only spatial information but also temporal information. The videos provide a set of images for a unique damage situation. In this study, using video processing methods, a methodology is developed to track crack formation. In this regard, robust principal component analysis is employed to detect new crack propagation. The experimental test data of RC shear walls are used to assess the implemented methodology. The quasi-static cyclic load is applied to these walls, and several cameras captured the video of walls' behavior. Taking advantage of the phase-based motion processing method, a video stabilization is implemented to enhance the accuracy of the crack detection step. Propagation of cracks is monitored by calculating Gini coefficients for each frame. The results show that monitoring this coefficient can indicate new crack formations.
Metrics
Details
- Title
- Surface crack detection in concrete structures using video processing techniques
- Creators
- Hamed Momeni - New Mexico Institute of Mining and TechnologySina Basereh - University at Buffalo, State University of New YorkPinar Okumus - University at Buffalo, State University of New YorkArvin Ebrahimkhanlou - New Mexico Institute of Mining and Technology
- Contributors
- P Fromme (Editor)Z Su (Editor)
- Publication Details
- HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XV, v 11593, pp 115932B-115932B-7
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 7
- Grant note
- 1663063 / National Science Foundation; National Science Foundation (NSF) 1663063 / Directorate For Engineering; Div Of Civil, Mechanical, & Manufact Inn; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000725202500043
- Scopus ID
- 2-s2.0-85107463048
- Other Identifier
- 991021890005704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Civil
- Materials Science, Characterization & Testing