Determination of cantilever plate shapes using wavelength division multiplexed fiber Bragg grating sensors and a least-squares strain-fitting algorithm

Jones, R. T.; Bellemore, David G.; Berkoff, Timothy A.; Sirkis, James S.; Davis, M. E.; Putnam, Martin A.; Friebele, E. J.; Kersey, Alan D.

doi:10.1088/0964-1726/7/2/005

Cited by 53 publications

(30 citation statements)

References 6 publications

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“…The problem of real-time reconstruction of deflection shapes from position and curvature measurements from sensor networks has been widely studied, with applications to condition assessment, SHM, and shape control [28], [29], [30], [31]. Here, we select the polynomial interpolation method for reconstructing the deflection shapes from a network of curvature data, a technique also used to smoothen data.…”

Section: Sec Signal-strain Modelmentioning

confidence: 99%

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Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

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Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 με using an inexpensive off-the-shelf data acquisition system. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Abstract-Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 µε using an inexpensive off-the-shelf data acquisition systems. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Keywords Electrical and Computer Engineering

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Section: Sec Signal-strain Modelmentioning

confidence: 99%

“…The algorithm consists of fitting the curvature data using a polynomial function. In the case of a two-dimensional beam equipped with four sensors, the fitting function is taken as a third degree polynomial to avoid possible over-fitting [28], [31].…”

Section: Sec Signal-strain Modelmentioning

confidence: 99%

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

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“…Often strain measurements within such structures are used to determine structural deformation; bending is inferred from the measured strain. 2 Local stress concentrations within the structure can affect the measured strain and therefore limit the accuracy of the inferred bend measurement. Temperature-insensitive curvature measurement with FBG strain gauges has been demonstrated by bonding of two FBGs to opposite sides of the beam.…”

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confidence: 99%

Two-axis bend measurement with Bragg gratings in multicore optical fiber

et al. 2003

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This version is available at https://strathprints.strath.ac.uk/42768/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. We describe what is to our knowledge the first use of fiber Bragg gratings written into three separate cores of a multicore fiber for two-axis curvature measurement. The gratings act as independent, but isothermal, fiber strain gauges for which local curvature determines the difference in strain between cores, permitting temperature-independent bend measurement.

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“…Once an optical fiber network is embedded in the whole body of a structure, the shape reconstruction system can be applied not only to real-time deformation monitoring in the operation time, but also to distortion monitoring in the manufacturing process of composites. However, most previous work about shape reconstruction focused on only simple test structures since with conventional measurement systems (e.g., strain gauges and FBG sensors) the number or location of sensing points was limited [34,35].…”

Section: Full-field Shape Reconstruction Using Distributed Strain Datamentioning

confidence: 99%

Recent advancement in optical fiber sensing for aerospace composite structures

Minakuchi

Takeda

2013

Photonic Sens

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Optical fiber sensors have attracted considerable attention in health monitoring of aerospace composite structures. This paper briefly reviews our recent advancement mainly in Brillouin-based distributed sensing. Damage detection, life cycle monitoring and shape reconstruction systems applicable to large-scale composite structures are presented, and new technical concepts, "smart crack arrester" and "hierarchical sensing system", are described as well, highlighting the great potential of optical fiber sensors for the structural health monitoring (SHM) field.

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Determination of cantilever plate shapes using wavelength division multiplexed fiber Bragg grating sensors and a least-squares strain-fitting algorithm

Cited by 53 publications

References 6 publications

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Two-axis bend measurement with Bragg gratings in multicore optical fiber

Recent advancement in optical fiber sensing for aerospace composite structures

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