Conference proceeding
Acoustic Emission and Digital Image Correlation as Complementary Techniques for Laboratory and Field Research
ADVANCES IN ACOUSTIC EMISSION TECHNOLOGY, v 158, pp 605-622
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This article presents the advantages of combining Acoustic Emission (AE) and Digital Image Correlation (DIC) in nondestructive testing (NDT) applications focusing on in situ damage monitoring. This data-fusion approach is used herein to characterize the mechanical and damage behavior of a fiber metal laminate (Glare 1A) tested in both tension and fatigue. Furthermore, the approach is used to investigate the structural behavior of partially grouted reinforced masonry walls. The obtained AE datasets were post-processed, in combination with DIC and mechanical information, using signal processing and pattern recognition techniques to investigate progressive failure of the Glare 1A. In the case of the masonry wall specimens, DIC clearly identified critical damage areas as a function of applied loading, while AE was capable to monitor the damage process and reveal changes in the overall behavior. The presented analysis demonstrates the potential of integrating AE and DIC in data-driven damage mechanics investigations at multiple time and length scales.
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Details
- Title
- Acoustic Emission and Digital Image Correlation as Complementary Techniques for Laboratory and Field Research
- Creators
- Rami Carmi - NRCN-NegevP. A. Vanniamparambil - Drexel UniversityJ. Cuadra - Drexel UniversityK. Hazeli - Drexel UniversityS. Rajaram - Drexel UniversityU. Guclu - Drexel UniversityArrie Bussiba - NRCN-NegevI. Bartoli - Drexel UniversityAntonios Kontsos - Drexel University
- Contributors
- G Shen (Editor)Z Wu (Editor)J Zhang (Editor)
- Publication Details
- ADVANCES IN ACOUSTIC EMISSION TECHNOLOGY, v 158, pp 605-622
- Series
- Springer Proceedings in Physics
- Publisher
- Springer Nature
- Number of pages
- 18
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000349667900056
- Scopus ID
- 2-s2.0-84910605103
- Other Identifier
- 991019168165404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Materials Science, Characterization & Testing