Conference proceeding
Detection of the onset of delamination in a post-tensioned curved concrete structure using hidden Markov modeling of acoustic emissions
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2018, v 10598, pp 1059821-1059821-9
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents acoustic emission (AE) monitoring of a large-scale curved, post-tensioned concrete wall under monotonically increasing prestressing loads. This structural system, which is commonly used in water storage tanks, silos, bins, and nuclear containment structures, is subject to hidden delamination defeats that may develop during post-tensioning and lead to a premature brittle failure. To detect the onset of such defects, this study uses a network of AE sensors mounted on the outer surface of the wall and identifies common patterns in AE signals. Specifically, AE signals are clustered using k-mean clustering, and their sequence is modeled with a hidden Markov model. The comparison of the results with accurate through-thickness expansion measurements of the wall shows that certain patterns in AE signals are correlated with the onset of delamination, and thus can be used to detect it. This early detection of such delamination defects provides decision makers with sufficient time to take remedial and preventive action.
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Details
- Title
- Detection of the onset of delamination in a post-tensioned curved concrete structure using hidden Markov modeling of acoustic emissions
- Creators
- Arvin Ebrahimkhanlou - The University of Texas at AustinJongkwon Choi - Univ Texas Austin, Dept Civil Architectural & Environm Engn, FSEL, 10100 Burnet Rd,Bldg 177, Austin, TX 78758 USATrevor D. Hrynyk - The University of Texas at AustinSalvatore Salamone - The University of Texas at AustinOguzhan Bayrak - The University of Texas at Austin
- Contributors
- H Sohn (Editor)J P Lynch (Editor)K W Wang (Editor)
- Publication Details
- SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2018, v 10598, pp 1059821-1059821-9
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 9
- Grant note
- Ferguson Structural Engineering Laboratory (FSEL) at the University of the Texas at Austin
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000454355400057
- Scopus ID
- 2-s2.0-85049604236
- Other Identifier
- 991021889914004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Multidisciplinary
- Optics
- Remote Sensing