Determining Natural Frequencies Using Embedded and Placed Sensors under Ambient and Shaker Excitation
Date of Award:
Master of Science (MS)
Civil and Environmental Engineering
Marvin W. Halling
Marvin W. Halling
Paul J. Barr
Joseph A. Caliendo
Structural Health Monitoring (SHM) includes methods of detecting damage to structures over their lifespan. Using the structure’s dynamic characteristics, internal damage and other changes can be detected and defined. Dynamic characteristics are affected by many operational parameters, particularly temperature effects. By defining the operational condition of a healthy structure, changes from the baseline condition can be detected and defined as damage. Defining the operational characteristics of the structure are imperative to detecting damage.
This study focused on defining the baseline dynamic properties of the recently constructed Nibley Bridge using embedded sensors. Multiple tests were performed to provide a range of measurements and to indicate the expected dynamic conditions that would be observed at the bridge. A finite element model of the bridge was created to aid in defining the characteristics that most affect the dynamic properties of the structure. The model was calibrated to match the measured data. By defining the current dynamic characteristics of the structure, changes that may indicate damage can be observed. Additional studies are needed to further enhance our understanding of the dynamic response of the Nibley Bridge.
Alder, Tyson Scott, "Determining Natural Frequencies Using Embedded and Placed Sensors under Ambient and Shaker Excitation" (2017). All Graduate Theses and Dissertations. 5857.
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