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Isaac Di Napoli

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Proceedings Article | 23 April 2020 Presentation + Paper

Dynamic validation of a strain-based 3D shape sensing system

Isaac Di Napoli, Casey Harwood

Proceedings Volume 11379, 1137905 (2020) https://doi.org/10.1117/12.2558233

KEYWORDS: Kinematics, Shape analysis, System identification, Sensing systems, Modal analysis, Sensors, Systems modeling, Linear filtering, Structural engineering

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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.

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