Advances in Structural Engineering Research

Single Abstract

343233 - Structural Monitoring and Damage Detection Using High-speed Vibration Imaging

Friday, April 20
11:00 AM - 12:30 PM
Location: 202A

Current vibration based-structural health monitoring (SHM) strategies have relied on vibration measurement methods using affixed accelerometers as a standard practice, but a fundamental limitation of this approach is that these sensors only provide point measurements. This low spatial resolution ultimately limits the effectiveness of structural monitoring and damage localization methods that rely on changes in global response to identify local damage features. To overcome these limitation, this paper focuses on the use of a high-speed imaging approach for measuring full-field vibration data for damage identification and localization in engineering structures. The framework is based on the design of a novel monitoring system that leverages a high-speed imaging system for capturing vibration response in a non-contact manner. A digital image processing algorithm is used to reconstruct full-field structural vibration response, which in turn enable modal properties of structures to be identified via a novel modal identification scheme. Processing the full-field modal data, the current state of the art in damage identification is extended to identify damages without in-place sensors. A series of experimental tests were performed on small-scale specimens to explore the potential of the proposed method. The preliminary study demonstrated the proposed damage detection approach’s capability to localize damage from non-contact and full-filed measurement.

Osman Ozbulut

Assistant Professor
University of Virginia

Dr. Osman Ozbulut is an Assistant Professor at the Department of Civil and Environmental Engineering at University of Virginia. He received his M.S. and Ph.D degrees from Texas A&M University. His research focuses on smart materials and structures, structural dynamic and control, and vibration-based structural health monitoring.

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Devin Harris

Associate Professor
University of Virginia

Dr. Harris is currently an Associate Professor Civil and Environmental Engineering Department at the University of Virginia. He is also the Director of the Center for Transportation Studies (CTS) and a member of the Link Lab. He joined the program as an Assistant Professor in July 2012. He had a prior appointment at Michigan Technological University as the Donald F. and Rose Ann Tomasini Assistant Professor in structural engineering. His research and teaching interests include bridge behavior, image-based measurement techniques, crowd-sourcing, data analytics, condition assessment and structural health monitoring, reinforced and prestressed concrete behavior, the application of innovative materials in civil infrastructure, and railroad engineering. Dr. Harris’ research approach often utilizes a combination of laboratory and field investigations and finite element modeling. Dr. Harris is active in the American Concrete Institute (ACI), the Transportation Research Board (TRB), the International Digital Image Correlation Society (IDICS). He has also been involved in other professional organizations including the American Railway Engineering and Maintenance-of-Way Association (AREMA), Precast/Prestressed Concrete Institute, and the National Society of Black Engineers.

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Abdollah Bagheri

Research Associate
University of Maryland

Post-doctoral scholar at UVA

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