Multiple cross validated sensing system for damage monitoring in civil structural components

P. A. Vanniamparambil, F. Khan, R. Carmi, S. Rajaram, E. Schwartz, M. Bolhassani, A. Hamid, A. Kontsos, I. Bartoli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Structural Health Monitoring (SHM) often relies and will increasingly benefit from combination of sensing systems rather than a single sensing approach. The obvious advantage is the acquisition of heterogeneous information that can be combined to verify the presence of damage in structural components. The drawback is the accumulation of large amount of data that has to be processed, making the practical aspect of SHM often times complex. This paper evaluates the benefits and the challenges of fusing data recorded from multiple Non-destructive Evaluation (NDE) methods, including Acoustic Emission (AE), Digital Image Correlation (DIC) and Infrared Thermography (IR) when testing masonry components. The application of the presented sensing system is demonstrated on partially grouted concrete masonry shear walls that were fabricated and tested at Drexel University as part of NSF funded project. First, the use of the Digital Image Correlation method is validated on small scale assemblages of concrete masonry. Results shown clearly show that DIC provides useful surface full field strain maps that show "hot spots" in the regions where failure occus. A drawback of DIC is the need to record images at a constant rate in order to capture fast occurring events such as crack formation, which typically results in large amounts of stored data. To this aim, this paper shows how AE can be a great complement to DIC measurements. Conversely, although AE is sensitive to newly formed cracks as well as growing flaws, it is also affected by unwanted noise sources (environmental and operational) that are not related to damage. While advanced pattern recognition techniques have been proposed to separate damage related information from spurious AE events, their robustness and effectiveness are still not universally proven. In this context, DIC offers visual, full field information that can validate AE results, while DIC monitoring can be triggered by AE in situ data acquisition forming an intelligent SHM system. Finally, based on the available DIC and AE damage sensing capabilities, IR was used to during masonry testing, and local changes of temperature are compared with relevant mechanical and NDE information.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages2592-2599
Number of pages8
ISBN (Electronic)9781605951157
StatePublished - 1 Jan 2013
Externally publishedYes
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford, United States
Duration: 10 Sep 201312 Sep 2013

Publication series

NameStructural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
Volume2

Conference

Conference9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States
CityStanford
Period10/09/1312/09/13

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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