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A novel quasi-distributed long-gauge fiber optic strain sensor system for dynamic measurement
(2011)
We present a novel technique based on incoherent optical frequency domain reflectometry (OFDR) to measure length changes quasi-distributed between reflection points in optical fibres. The technique enables length changes to be measured with a resolution better than 1 µm and allows for static and dynamic measurement capabilities up to 2 kHz. We demonstrate that dynamic measurements of multiple fibre sections can be conducted independently from each other with high precision. Due to the precise and dynamic measurement capabilities, the proposed sensor system is expected to open new fields of application, especially in the structural-health-monitoring sector. Possible applications are discussed in the paper.
A dynamic and quasi-distributed sensor principle for simultaneous measurement of length changes and optical power changes between reflection points in an optical fiber is presented. The technique is based on the incoherent optical frequency domain reflectometry (I-OFDR). Length change resolutions < 1 µm and measurement repetition rates up to 2 kHz can be achieved using standard single-mode and multi-mode optical fibers. Simultaneous length change and refractive index measurement as well as field test results showing the deformation of a masonry building under seismic load are presented. Promising fields of application for this technique are the structural health monitoring sector and chemical process control.
Recently, we have proposed, to our knowledge for
the first time, to use perfluorinated graded-index polymer
optical fiber (POF) for distributed measurement of strain.
Thanks to their low attenuation and low modal dispersion
compared to standard-POF, this fiber type allows to extend the
measurement length to more than 500 meters at increased
spatial resolution. In this paper, two mechanisms for strain
sensing are introduced. As in standard PMMA POF, strain in the
fiber can be detected by evaluating the local backscatter
increase occurring at strained fiber sections. Further, we
propose, to our knowledge for the first time, a true distributed
length change measurement in POF using cross-correlation
analysis of the fibers characteristic backscatter signature.
Using this technique, it is possible to measure relative
displacement between different fiber sections avoiding signal
fading failures that are inherent in other measurement
principles. Cross-sensitivities to the sensor signal, as fiber
bends and temperature, are investigated and quantified.
Sensing characteristics of standard polymer
optical fibers (POF) are further studied using the optical time
domain reflectometry (OTDR) technique. The level of the
backscattering inside POF, which highly increases at locations
where strain is applied to the fiber, is further investigated with
respect to spectral behavior, strain rate and span of time from
the stretching event. An algorithem to overcome the problem of
the decrease of spatial resolution as a result of pulse
broadening due to modal disperion, is proposed. The research
is carried out on the background of the development of a new
strain sensor that is integrated in technical textiles.
We present a novel technique for dynamic and simultaneous measurement of displacement and refractive indices at multiple reflection points in optical fibers. This quasi-distributed sensor is based on the incoherent optical frequency domain reflectometry (I-OFDR) technique and allows for m-resolution length change measurement and precise refractive index measurement. We show that the dynamic measurement ability and the simple sensor design allows for new applications in the field of structural health monitoring and chemical process control.
Wavelength-scanning distributed acoustic sensing for structural monitoring and seismic applications
(2019)
We introduce wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) for dynamic vibration sensing along optical fibers. The method is based on spectral shift computation from Rayleigh backscatter spectra. Artificial neural networks (ANNs) are used for fast and high-resolution strain computation from raw measurement data. The applicability of the method is demonstrated for vibration monitoring of a reinforced concrete bridge. We demonstrate another application example for quasi-static and dynamic measurement of ground deformation and surface wave propagation along a dark fiber in a telecommunication cable.