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- Distributed acoustic sensing (5)
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- Optical time domain reflectometry (3)
- Structural health monitoring (3)
- Artificial neural networks (2)
- DAS (2)
- Distributed fiber optic sensing (2)
- Distributed strain sensing (2)
- Electronic speckle pattern interferometry (2)
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Organisationseinheit der BAM
Der Beitrag konzentriert sich auf bildgebende Messverfahren, die der dreidimensionalen Bestimmung mechanischer, geometrischer und kinematischer Parameter von Materialien und Bauteilen dienen. Das sind hier insbesondere die Mehrbildfotogrammetrie sowie die Stereomessverfahren, die auf folgenden physikalisch-optischen Grundlagen beruhen: die zeit- und raumveränderliche Projektion von Lichtstreifensystemen, die Bildkorrelation mittels Grauwertmustern und die Verfolgung kontrastreich applizierter Punkttargets. Letztendlich werden aus den gemessenen Punktkoordinaten unterschiedlicher Dichte und Belastungszustände die gewünschten 3D-Parameter abgeleitet. Hierzu gehören z. B. die Oberflächengestalt und deren Verformung, approximierte 3D-Geometrielemente, veränderliche 6DoF-Starrkörperorientierungen, Vektorverschiebungsfelder, Oberflächendehnung, Koordinaten-Zeit-Funktionen, Geschwindigkeit und Beschleunigung. Diese Kenngrößen sind beispielsweise für die Ermittlung mechanischer Werkstoffeigenschaften und -kennwerte bis hin zur Form- und Verformungsmessung von Bauteilen in gezielt quasi-statisch oder dynamisch beanspruchenden Prüfeinrichtungen wichtig. Vorteilhaft für die praktische Anwendung dieser Verfahren ist insbesondere, dass sie berührungslos arbeiten, kombiniert werden können und skalierbar sind z. B. hinsichtlich Messvolumen, Auflösung, Genauigkeit und Koordinatensystemen der zu bestimmenden 3D-Punktkoordinaten an Materialoberflächen bzw. Komponenten.
Ausgehend von der Beschreibung der messtechnischen Prinzipien dieser Verfahren sollen zwei Anwendungsbeispiele aus dem Bereich der Gefahrgutbehäl-terprüfung im Rahmen von Bauartzulassungen und der normungsbegleitenden Mate-rialforschung den Stand in der Anwendungspraxis aufzeigen und einen Eindruck hinsichtlich der flexiblen Einsatzmöglichkeiten dieser optischen 3D-Verfahren verdeutlichen.
Fibre optic strain sensors used in practical applications have to provide reliable measurements. Therefore, the applied sensor and the sensor systems must be validated experimentally. This can be achieved with facilities which use physically independent measurement systems in order to avoid the influences caused by the application of a reference sensor. This paper describes the testing methods of the specially developed validation facility KALFOS for the qualification and evaluation of surface-applied strain sensors. For reliable sensor results, the performance of fibre optic strain patches with and without FBG under combined thermal and mechanical loading was investigated. Additionally, the strain gauge factor of the fibre optic strain patches with FBG was determined experimentally and compared to the specified strain gauge factor. These results will be the basis for the development of guidelines and standards concerning the application of the sensors.
Distributed vibration sensing in optical fibers opened entirely new opportunities and penetrated various sectors from security to seismic monitoring. Here, we demonstrate a most simple and robust approach for dynamic strain measurement using wavelength-scanning coherent optical time domain reflectometry (C-OTDR). Our method is based on laser current modulation and Rayleigh backscatter shift correlation. As opposed to common single-wavelength phase demodulation techniques, also the algebraic sign of the strain change is retrieved. This is crucial for the intended applications in structural health monitoring and modal analysis. A linear strain response down to 47.5 pε and strain noise of 100 pε/√Hz is demonstrated for repetition rates in the kHz range. A field application of a vibrating bridge is presented. Our approach provides a cost-effective high-resolution method for structural vibration analysis and geophysical applications.
We propose to use artificial neural networks (ANNs) for raw measurement data interpolation and signal shift computation and to demonstrate advantages for wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) and dynamic strain distribution measurement along optical fibers. The ANNs are trained with synthetic data to predict signal shifts from wavelength scans. Domain adaptation to measurement data is achieved, and standard correlation algorithms are outperformed. First and foremost, the ANN reduces the data analysis time by more than two orders of magnitude, making it possible for the first time to predict strain in real-time applications using the WS-COTDR approach. Further, strain noise and linearity of the sensor response are improved, resulting in more accurate measurements. ANNs also perform better for low signal-to-noise measurement data, for a reduced length of correlation input (i.e., extended distance range), and for coarser sampling settings (i.e., extended strain scanning range). The general applicability is demonstrated for distributed measurement of ground movement along a dark fiber in a telecom cable. The presented ANN-based techniques can be employed to improve the performance of a wide range of correlation or interpolation problems in fiber sensing data analysis and beyond.
Strain sensors embedded in or attached to structural components have to measure the real deformation of the structure over the whole period of use. The user must know how reliably installed sensors provide strain measurement results. For this purpose, test facilities or coupon tests are used. In order to characterize the strain transfer quality from the host structure into surface-applied strain sensors, a unique testing facility has been developed. This facility can be used both for fiber optic and resistance strain sensors. Originally developed for fiber Bragg grating based sensors, the KALFOS facility (=calibration of fiber optic sensors) uses Digital Image Correlation (DIC) and Electronic Speckle Pattern Interferometer (ESPI) as unbiased referencing methods. It is possible to determine experimentally the strain transfer mechanism under combined thermal and mechanical loading conditions. This experimental characterization method will reveal weaknesses in commonly used strain sensors, and the investigation of the material systems used for fiber optic and other strain sensors (particularly the coating/substrate - adhesive combination). The KALFOS facility allows matching of specific measurement requirements with environmental conditions.
Surface-applied fibre optic strain sensors were investigated using a unique validation facility equipped with application-independent optical reference systems. First, different adhesives for the sensor's application were analysed regarding their material properties. Measurements resulting from conventional measurement techniques, such as thermo-mechanical analysis and dynamic mechanical analysis, were compared with measurements resulting from digital image correlation, which has the advantage of being a non-contact technique. Second, fibre optic strain sensors were applied to test specimens with the selected adhesives. Their strain-transfer mechanism was analysed in comparison with conventional strain gauges. Relative movements between the applied sensor and the test specimen were visualized easily using optical reference methods, digital image correlation and electronic speckle pattern interferometry. Conventional strain gauges showed limited opportunities for an objective strain-transfer analysis because they are also affected by application conditions.
We propose the use of alternating pulse wavelengths in a direct-detection coherent optical time domain reflectometry (C-OTDR) setup not only to measure strain and temperature changes but also to determine the correct algebraic sign of the change. The sign information is essential for the intended use in distributed mode shape analysis of civil engineering structures. Correlating relative backscatter signal shifts in the temporal/signal domain allows for measuring with correct magnitude and sign. This novel approach is simulated, experimentally implemented and demonstrated for temperature change measurement at a spatial resolution of 1 m.
A unique testing facility (KALFOS) using ESPI (electronic speckle pattern interferometery) as a referencing method has been realized for the characterisation of the strain transfer process from a component under load into surface applied fibre Bragg grating based strain sensors. The strain transfer mechanism can be described experimentally, while matching specific measurement requirements and environmental conditions.
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.