Abstract
Fiber Bragg grating (FBG) sensors offer a significant advantage for structural health monitoring due to their ability to simultaneously monitor both static and dynamic strain while being durable, lightweight, capable of multiplexing, and immune to electro-magnetic interference. Drawing upon the benefits of FBG sensors, this research explores the use of a series of long-gage fiber optic sensors for damage detection of a structure through dynamic strain measurements and curvature analysis. Curvature and strain based analysis may be a more reliable means for structural monitoring as they show more sensitivity to damage compared to modal parameters such as displacement mode shapes and natural frequency. Small scale experimental testing was performed using an aluminum beam instrumented with a series of FBG optical fiber sensors. Dynamic strain measurements were obtained as the beam was subjected to various support and loading conditions and damage was simulated by creating imperfect support constraints. From this, a normalized parameter based on the strain and curvature from the dynamic strain measurements has been developed as a potential means of damage detection. The results demonstrated the potential of FBG long-gage sensors to facilitate dynamic monitoring at both the local and global scale, thus allowing assessment of the structures health.
Original language | English (US) |
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Journal | International Conference on Advances in Experimental Structural Engineering |
Volume | 2015-August |
State | Published - 2015 |
Externally published | Yes |
Event | Joint 6th International Conference on Advances in Experimental Structural Engineering, AESE 2015 and 11th International Workshop on Advanced Smart Materials and Smart Structures Technology, ANCRiSST 2015 - Urbana-Champaign, United States Duration: Aug 1 2015 → Aug 2 2015 |
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Building and Construction
Keywords
- Dynamic strain measurements
- FBG sensors
- Long-gage fiber optic sensors
- Structural health monitoring