Conference proceeding
Multifractal analysis of two-dimensional images for damage assessment of reinforced concrete structures
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2015, v 9435, pp 94351A-94351A-8
01 Jan 2015
Abstract
The most common assessment technique for reinforced concrete shear walls (RCSW) is Visual Inspection (VI). The current practice suffers from subjective and labor intensive nature as it highly relies on judgment and expertise of the inspectors. In post-earthquake events where urgent and objective decisions are crucial, failure of the conventional VI could be catastrophic. Conventional VI is mainly based on width of residual cracks. Given that cracks could close partially (e.g., due to weight of the structure, behavior of adjacent elastic members, earthquake displacement spectrum, etc.), methods based on crack width may lead to underestimating the state of damage and eventually an erroneous decision. This paper proposes a novel method to circumvent the aforementioned limitations by utilizing the information hidden in crack patterns. Crack patterns from images of the surface cracks on RCSW are extracted automatically, and Multifractal Analysis (MFA) are applied on them. Images were taken from two large scale low aspect ratio RCSW under quasi-static cyclic loading, and MFA showed clear correlation with tri-linear shear controlled behavior of walls which was observed in their backbone curves.
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Details
- Title
- Multifractal analysis of two-dimensional images for damage assessment of reinforced concrete structures
- Creators
- Arvin Ebrahimkhanlou - University at Buffalo, State University of New YorkAlireza Farhidzadeh - University at Buffalo, State University of New YorkSalvatore Salamone - University at Buffalo, State University of New York
- Contributors
- J P Lynch (Editor)K W Wang (Editor)H Sohn (Editor)
- Publication Details
- SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2015, v 9435, pp 94351A-94351A-8
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000355726100039
- Scopus ID
- 2-s2.0-84943380503
- Other Identifier
- 991021889912204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Aerospace
- Engineering, Civil
- Engineering, Mechanical
- Optics
- Remote Sensing