Microminiature high-resolution linear displacement sensor for peak strain detection in smart structures

Steven W. Arms; David C. Guzik; Christopher P. Townsend

doi:10.1117/12.317003

21 July 1998 Microminiature high-resolution linear displacement sensor for peak strain detection in smart structures

Steven W. Arms, David C. Guzik, Christopher P. Townsend

Proceedings Volume 3330, Smart Structures and Materials 1998: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials; (1998) https://doi.org/10.1117/12.317003
Event: 5th Annual International Symposium on Smart Structures and Materials, 1998, San Diego, CA, United States

Abstract

Critical civil and military structures require 'smart' sensors in order to report their strain histories; this can help to insure safe operation after exposure to potentially damaging loads. A passive resetable peak strain detector was developed by modifying the mechanics of a differential variable reluctance transducer. The peak strain detector was attached to an aluminum test beam along with a bonded resistance strain gauge and a standard DVRT. Strain measurements were recorded during cyclic beam deflections. DVRT output was compared to the bonded resistance strain gauge output, yielding correlation coefficients ranging from 0.9989 to 0.9998 for al teste, including re-attachment of the DVRT to the specimen. Peak bending strains were obtained by the modified peak detect DVRT to the specimen. Peak bending strains were obtained by the modified peak detect DVRT and this was compared to the peak bending strains as measured by the bonded strain gauge. The peak detect DVRT demonstrated an accuracy of approximately +/- 5 percent over a peak range of 2000 to 2800 microstrain.

Citation Download Citation

Steven W. Arms, David C. Guzik, and Christopher P. Townsend "Microminiature high-resolution linear displacement sensor for peak strain detection in smart structures", Proc. SPIE 3330, Smart Structures and Materials 1998: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (21 July 1998); https://doi.org/10.1117/12.317003

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