Static-strain sensitivity optimization of fiber optic extrinsic Fabry-Perot interferometric strain gauge

Gregory M. Nau; Venkatapura S. Sudarshanam; Richard O. Claus

doi:10.1117/12.147980

12 July 1993 Static-strain sensitivity optimization of fiber optic extrinsic Fabry-Perot interferometric strain gauge

Gregory M. Nau, Venkatapura S. Sudarshanam, Richard O. Claus

Proceedings Volume 1918, Smart Structures and Materials 1993: Smart Sensing, Processing, and Instrumentation; (1993) https://doi.org/10.1117/12.147980
Event: 1993 North American Conference on Smart Structures and Materials, 1993, Albuquerque, NM, United States

Abstract

Surface mounted optical fiber strain sensors have been extensively used in smart structure sensing and actuator applications in the recent past. The performance of such sensors depends strongly on the conditions of bonding. Optimum static strain sensitivity of an extrinsic fiber optic interferometric strain gauge surface mounted on a cantilever beam was obtained by comparing several bonding techniques to each other, by comparing the outputs of the fiber sensors and resistance foil gauges, and by comparing the strain calculated from applied end displacements and elastic beam theory. The extrinsic fiber interferometer was formed between the ends of a single mode fiber (SMF) and a multimode fiber (MMF) inserted into a hollow core fiber (HCF) from opposite ends. Resistance foil and optical interferometric measurements were consistently lower than theoretical values. The closest agreement with theoretical values was realized by a configuration in which the SMF end was free to move within the HCF. For a sensor completely embedded in epoxy, optical strain measurements were 12.2% below theoretical values while the foil gauge readout was 18.1% lower.

Citation Download Citation

Gregory M. Nau, Venkatapura S. Sudarshanam, and Richard O. Claus "Static-strain sensitivity optimization of fiber optic extrinsic Fabry-Perot interferometric strain gauge", Proc. SPIE 1918, Smart Structures and Materials 1993: Smart Sensing, Processing, and Instrumentation, (12 July 1993); https://doi.org/10.1117/12.147980

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