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23 April 2020 Dynamic validation of a strain-based 3D shape sensing system
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Abstract
Shape sensing of gives insight into the structural health and operating conditions of flexible engineered structures in challenging environments. This work describes the dynamic validation of a low-cost and robust tool for near-real-time shape sensing using strain measurements along a cantilevered rectangular spar paired with a kinematic reconstruction algorithm. The spar was loaded with several mass distributions and subjected to an impulsive hammer strike. Measurements from the shape sensor was compared to measurements from several conventional accelerometers in the time domain and frequency domain. Accelerations inferred from the shape sensing spar exhibited an average RMS error of 2.23% when compared to accelerations from accelerometers. Measured natural frequencies and damping ratios exhibited errors of .13% and 1.83% respectively. Operating deflection shapes were in good qualitative agreement with calculated and simulated mode shapes. These results show the shape sensor to be a useful tool for dynamic measurements of compliant structures.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Isaac M. Di Napoli and Casey M. Harwood "Dynamic validation of a strain-based 3D shape sensing system", Proc. SPIE 11379, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2020, 1137905 (23 April 2020); https://doi.org/10.1117/12.2558233
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