8.6 Faseroptische Sensorik
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- Structural health monitoring (28)
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Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (193)
- 8.6 Faseroptische Sensorik (193)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (26)
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- 1 Analytische Chemie; Referenzmaterialien (11)
This thesis deals with the development of a novel optical fiber sensing scheme based on geometric phase for sensing strain and its application to seismology. Interference of two coherent frequency offset electromagnetic waves gives rise to a geometric phase in the resulting beat signal. The existence of this phase was recently reported along with requisite conditions for its existence. This thesis proposes to detect and use this geometric phase in the context of distributed and dynamic fiber optic strain sensing, also known as distributed acoustic sensing (DAS). In the first part, I devise a novel DAS hardware setup capable of detecting the geometric phase considering that its measurement methods require the measurement of beam intensities and the beat signal’s envelope. The geometric phase is a function of relative intensity and polarisation state of two interfering beams. Therefore, its measurement is verified by determining its relation on these quantities using a polarisation scrambler and a piezoelectric transducer, inline an optical fiber. It is a fundamental study that has implications in coherent optical communication and novel sensing mechanisms.
The second part involves using the geometric phase in DAS for measurement of strain. I attempt to replace the traditionally measured dynamic phase in a DAS setup with the geometric phase. This is made possible by the fact that the geometric and dynamic phases are reportedly coupled over every beat period such that their sum remains constant. However, the spatial resolution for geometric phase is lower as it is measured per beat period. I determine an equivalence for the two phases empirically as well as optimum test parameters such as the required frequency offset between the interfering beams. The advantages offered by the use of geometric phase are demonstrated; geometric phase can be measured even when the two interfering beams have non-identical polarisation states, unlike the traditionally measured dynamic phase. Moreover, it does not require phase unwrapping and is therefore free from unwrapping errors.
In the third and final part, the setup, after optimisation, is tested in the field to detect seismic waves travelling on the surface of the Earth in response to a set of blasts carried out at a test-site. The surface waves are used for the characterisation of the structure and material properties of the first tens of meters of the Earth with applications in earthquake monitoring, resource exploration and infrastructure planning.
In short, this study is the first of its kind to measure geometric phase in beat signal of light using optical fiber medium and to measure strain with it, for which a novel hardware setup and a novel sensing mechanism is designed and tested in addition to its application in real-world seismology measurements.
Monitoring of composite pressure vessels using surface applied distributed fiber optic sensors
(2024)
In this paper, we report on surface-applied distributed fibre optic sensors for monitoring composite pressure vessels designed for hydrogen storage. Previous reports have revealed that integrating optical fibres within vessel composite structures effectively enables the monitoring of structural behavior throughout their lifetime.
However, integrating optical fibres during the manufacturing process is complex and time-consuming. Therefore, we aim to simplify this process by attaching the optical fibres to the vessel’s surface. This method is significantly more timeefficient than the integration process and can be applied to any vessel. Our results demonstrate that surface-applied fibre optic sensors can detect and precisely localise damage.
Additionally, signs of damage can be recognised even before the damage occurs. Predictive maintenance using fibre optic sensors could reduce premature maintenance costs and periodic inspections while increasing safety and extending the vessel’s useful service life. The role of machine learning in predictive maintenance is also discussed.
Protection against terrorist or accidental scenarios in industrial settings requires suitable designs of structures to resist blast loads. Field testing as well as finite element simulations are among the techniques available to engineers in the understanding of the structural behavior against blast loading. As blast testing of complex scenarios can be very resource intensive, tests are generally performed for simplified scenarios. Numerical tools can be used to model these scenarios in order to get a better insight into blast loading, structural response and the resulting damage to the structure. In the next steps, the simplified scenario is successively modified in numerical simulations to incorporate complexities that cannot be covered in blast testing experiments. One of the conditions for this approach to work is that the original simplified numerical simulation is valid. The scopes and challenges encountered in such a validation are the focus of this presentation. A relatively ‘simple’ field test of a horizontal reinforced concrete (RC) slab subjected to blast loading is taken as an example for validation of the performance of numerical tools. The blast test incorporated various measurement techniques to quantify the blast load as well as the behavior of the RC slab. Blast load was measured using flush-mounted piezoelectric pressure gauges, whereas acceleration sensors and fiber-optic sensor cables were used to characterize the dynamic behavior of the slab under blast loading. Additionally, damage characteristics were ascertained also using fiber-optic sensing. The application of such measurement techniques, along with different numerical software available for the analysis of the scenario in question,
demonstrate the scope of our contribution.
Monitoring hydrogen composite pressure vessels using surface applied distributed fiber optic sensors
(2024)
We report on surface-applied distributed fibre optic sensors for monitoring composite pressure vessels designed for hydrogen storage. Previous reports have revealed that integrating optical fibres within vessel composite structures effectively enables the monitoring of structural behavior throughout their lifetime.
However, integrating optical fibres during the manufacturing process is complex and time-consuming. Therefore, we aim to simplify this process by attaching the optical fibres to the vessel’s surface. This method is significantly more timeefficient than the integration process and can be applied to any vessel. Our results demonstrate that surface-applied fibre optic sensors can detect and precisely localise damage.
Additionally, signs of damage can be recognised even before the damage occurs. Predictive maintenance using fibre optic sensors could reduce premature maintenance costs and periodic inspections while increasing safety and extending the vessel’s useful service life. The role of machine learning in predictive maintenance is also discussed.
How structural health monitoring can be embedded in a digital quality infrastructure: an example.
(2024)
The digital Quality Infrastructure (QI) initiative “QI-Digital” in Germany is focusing on implementing new technologies and approaches to ensure that the task of quality assurance is more efficient and ready for the digital and green transformation of the economy. The implementation of quality control key elements, such as Smart Standards, Digital Certificates and QI-cloud solutions shall contribute to solving the socio-economic, ecological, and technological challenges of our time. Hydrogen is a key energy carrier and has the potential to play a significant role in the energy transition, especially in mobility. An essential factor for the broad acceptance of hydrogen-based mobility is the availability of refueling stations that operate reliably and safely. Using the example of a Hydrogen Refueling Station (HRS) built within the QI-Digital initiative, the Federal Institute for Material Research and Testing (BAM) aims to establish a real laboratory where modern measurement techniques and new digital methods are implemented to enhance operational safety, availability, and economic efficiency and render the technology more attractive for the industry.
In this work, we present an approach to establish a Structural Health Monitoring (SHM) system on a high-pressure buffer inside HRS and show how it could be embedded into a digital QI. The high-pressure buffers are essential components of the plant which are currently inspected periodically without regard to their operating history. Focusing on the transition to a continuous and digitally supported monitoring of the component’s integrity during operation the novel inspection scheme will be linked to a completely digitalized component-related documentation and tested using digital certificates. This allows the operational safety and, if necessary, the remaining useful lifetime to be assessed on an ongoing basis and to be a valuable contribution to increasing sustainability.
We present a distributed polymer optical fiber sensor system for deformation monitoring of geotechnical infrastructure. The sensor system is based on the digital incoherent optical frequency domain reflectometry (I-OFDR) for the detection of local strain events along a perfluorinated polymer optical fiber (PF-POF) used as a sensing fiber. For the best possible load transfer, the PF-POFs were integrated onto geosynthetics which pose a sensor carrier for the sensing fiber. By using elastic PF-POF instead of a standard glass fiber as a sensing fiber the strain range of geosynthetics-integrated fiber optic sensors could be extended up to 10 % in accordance with the end-user requirements.