Filtern
Dokumenttyp
- Vortrag (7)
Sprache
- Englisch (7) (entfernen)
Referierte Publikation
- nein (7)
Schlagworte
- Acoustic emission (5)
- Monitoring (2)
- Accelerometer (1)
- Accelerometers (1)
- Acoustic Emission (1)
- Acoustic Emission (AE) (1)
- Al-Si alloys (1)
- AlSi12CuMgNi (1)
- Bending tests on pipe segments (1)
- Continous monitoring (1)
- Crack growth (1)
- Crack initiation (1)
- Fibre optic acoustic sensing (1)
- Fibre optic sensing (1)
- Four-point bending test (1)
- Leak detection (1)
- Non-threshold measurement (1)
- Pipelines (1)
- Steel pipe (1)
- Structural integrity (1)
- Tension (1)
- Unsupervised pattern recognition (1)
- Wood materials (1)
Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (6)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (6)
- 2 Prozess- und Anlagensicherheit (3)
- 2.1 Sicherheit von Energieträgern (3)
- 9 Komponentensicherheit (3)
- 9.6 Additive Fertigung metallischer Komponenten (3)
- 8.4 Akustische und elektromagnetische Verfahren (2)
- 8.6 Faseroptische Sensorik (2)
- 3 Gefahrgutumschließungen; Energiespeicher (1)
- 3.2 Gefahrguttanks und Unfallmechanik (1)
Eingeladener Vortrag
- nein (7) (entfernen)
Typically, the near-eutectic Al-Si alloys consist of highly interconnected three-dimensional network of the eutectic Silicon (Si) and intermetallics embedded into Aluminium (Al) matrix. For further improvement of the mechanical properties of such alloys, often, one single ceramic reinforcement phase, e.g. silicon carbide (SiC) or aluminium oxide (Al2O3) in the form of fibres or particles is added. However, hybrid reinforcements (fibres and particles) can further improve wear resistance and fracture toughness, and additionally, reduce anisotropy of the material. The engineering of metal matrix composites (MMC) for specific application requirements benefits from a comprehensive knowledge of the failure behaviour. Therefore, damage evolution under compression was investigated on:
- pure near-eutectic AlSi12CuMgNi matrix alloy
- type I: matrix reinforced with random-planar oriented Al2O3 short fibres (15 vol.%)
- type II: matrix reinforced with random-planar oriented Al2O3 short fibres (7 vol.%) and additional SiC particles (15 vol.%)
The analysis of damage mechanism was carried out in two rather independent but complementary studies. First, selected sister samples of every material were exposed to quasi-static compression (traverse control). The compression tests were interrupted at different strain levels. Miniature cylinders with a diameter of 1mm were extracted from the pre-strained samples and investigated by synchrotron computed tomography (SX-µCT) with a spatial resolution of about 0.7 µm. For the pure matrix alloy, microcracks are confined to the intermetallic particles and to the eutectic Si, hence no damage was observed in the Aluminium. The composite type II revealed a more effective strain accumulation (less damage) than type I at low plastic strain (up to 5 %), but a more catastrophic damage development due to cracking of the SiC clusters at higher strain levels.
The second approach to study the damage initiation and accumulation in the materials subjected to compressive load was Acoustic Emission (AE) analysis. In this case the in-situ monitoring of the acoustic emission signal was performed during compression tests on specimens with dimension of several mm. For all three material types, AE activity set at 2% strain. Differences in AE behaviour of the three materials was proven based on AE hitrate, signal peak amplitudes as well as weighted peak frequencies (WPF). Future work focuses on combination of AE and SX-µCT aiming for more detailed knowledge on damage mechanism of metal matrix composites.
Acoustic emission testing
(2018)
Against the background of sustainable resource management and efficiency, wood-based materials are currently experiencing a revival and, among others, plywood, Laminated Veneer Lumber and glued laminated timber are becoming increasingly more important in the building sector. Even though these materials are so-called engineered products, the element wood is naturally grown with intrinsic variability in mechanical properties and requires professional handling on-site. Otherwise, load-bearing structures made of wood materials may entail certain risks. Critical situations can, in principle, be avoided by implementing a structural health monitoring system into components or structures made from wood material. The aim is to indicate accumulation of mechanical damage and to eliminate or at least significantly reduce the risk of unexpected failure. Toward this purpose, the failure behavior of several layered wood materials under quasi-static tension was investigated in laboratory-scale experiments by means of acoustic emission (AE) measurement. Based on spectral analysis and pattern recognition, two classes of AE signals are identified for each investigated lay-up that are characterized by either low or high frequency contents in the respective power spectra. AE activity and intensity of both signal classes are analyzed, striving for predictors appropriate for AE monitoring concepts.
Pipelines and industrial piping systems are particularly relevant regarding technical safety, availability and maintenance. Large flow rates of hazardous substances imply that even smallest leakages can lead to high environmental impacts. Therefore, and to ensure the availability of infrastructure, an early detection and localization of potentially hazardous degradations to the walls (e.g. cracks, pittings, sedimentation, etc.) of the containments is necessary. However, in many cases it is not feasible to equip pipelines with a large number of point sensors at reasonable expense.
The principle of distributed fibre optic sensing relies on one single optical fibre, which simultaneously acts as a spatially continuous sensor as well as the signal transducer. Therefore, extensive structures can be provided with this type of sensor with comparatively low efforts.
As a consequence, monitoring oil and gas pipelines using distributed fibre optic sensors is on the upswing. Besides the established methods to measure temperature and strain, distributed acoustic sensing (DAS) has lately received considerable attention as a means to detect and localize third party threats to pipelines (approach of vehicles, digging, mechanical manipulation).
The so far not utilized potential of DAS as a means for continuous condition monitoring of pipes by detecting and localizing acoustic signals that point to certain damage scenarios, is currently under investigation in an interdisciplinary research project at BAM (AGIFAMOR, Ageing Infrastructures – Fibre Optic Monitoring of Pipes).
In order to qualify distributed acoustic fibre optic sensors for this application area, we especially focus on detecting and identifying the relevant acoustic emissions of interesting degradations as well as on the optimal way of application of the optical fibres to the specimen to achieve an optimal signal transmission of acoustic signals.
Four-point bending tests were carried out to analyze the acoustic characteristics of damage development in pipe segments made of steel, grade S355J2H, being 2.5 m long with an outer diameter of 168 mm and 16 mm wall thickness. To induce stable crack growth, the pipe segments were pre-damaged by a 90°circumferential notch in the middle of the pipe length. While the pipe was quasi-statically loaded, microscopic damage and plastic deformation accumulated to form a macroscopic crack that grew through the pipe wall until leakage. For acoustic emission (AE) monitoring, four broadband sensors of type VS 900 M were mounted close to the notch. Continuous AE signal detection was performed by the non-threshold method. Advantages and disadvantages of the non-threshold AE monitoring compared to a commonly employed method analyzing only signals exceeding a predefined threshold are discussed. The results of AE analysis are compared to additional information on the crack growth detected by the direct current potential drop (DCPD) technique. These studies were carried out in the course of the interdisciplinary research project AGIFAMOR, Ageing infrastructures - distributed acoustic monitoring of pipes at BAM.
Feasibility study: Continuous monitoring of pipes using distributed acoustic and fibre optic sensors
(2018)
The feasibility study „AGIFAMOR. Ageing infrastructures – distributed acoustic monitoring of pipes” is an interdisciplinary research project at BAM internally financed from 2015 to 2018. Therefore, the quite young fibre optic sensing technology of distributed acoustic sensing (DAS) was investigated to possibly be extended towards a global condition monitoring system for pipelines operating in real time.
DAS is a highly dynamic fibre optic sensing technology based on the method of coherent optical time domain reflectometry (C-OTDR). DAS allows capturing strain changes in the range of kHz. For the experimental work, the most suitable application yielding an optimum sensitivity was proven by wrapping a standard single-mode silica fibre around the pipe.
The DAS sensitivity was investigated regarding the detection of 1) incidents that initiate propagation of acoustic waves in the pipe wall, 2) changes inside the pipeline causing altered flow and 3) damage development in the pipe wall. Therefore, several testing setups in laboratory as well as in real scale were realized. For comparison purposes, experiments were accompanied by acoustic emission analyses and by measurements with accelerometers.
DAS was found to be very sensitive to gas ignition and its propagation across the pipe. Furthermore, the ability of DAS to detect and localize acoustic signals associated with pipeline leakage was demonstrated. The detection of crack formation and propagation within the pipe wall by means of DAS was studied during bending tests on several pipe segments, but was not proven so far with certainty. As expected, these studies turned out as the most difficult challenge due to the random occurrence and transient nature of microscopic damage phenomena.
Acoustic Emission
(2018)
Das Phänomen Schallemission (eng. Acoustic Emission, AE) ist eine Begleiterscheinung bei aktiven Mechanismen und Prozessen wie sie in Werkstoffen auftreten, die einer Belastung durch Krafteinwirkung oder durch Änderung der Umgebungsbedingungen ausgesetzt sind. Plastische Verformung, Risswachstum, Korrosion oder der Übergang zu einer anderen Phase generieren u.a. transiente elastische Wellen, die sich im Werkstoff und an der Materialoberfläche ausbreiten. Auftretende Auslenkungen von wenigen hundert Pikometern sind mit piezo-elektrischen AE Sensoren detektierbar. Aufzeichnungsraten von bis zu 40 MHz ermöglichen dabei zeitliche Auflösungen von einigen Nano- bis Mikrosekunden. Die Dechiffrierung der detektierten Informationen ist für die Material- und Versagenscharakterisierung sowie für Anwendungen in der Struktur- oder Prozessüberwachung ein zentraler Forschungsschwerpunkt.
Nach einem kurzen Überblick zu den Grundlagen werden ausgewählte Ansätze der AE Methode vorgestellt und diskutiert:
1) AE Monitoring von Pipelines als Referenzmessung für die Entwicklung eines akustischen faseroptischen Monitorings (AGIFAMOR)
2) Schwellwertfreie AE Messung im 4-Punkt-Rohrbiegeprüfstand BAM_9.1 (AGIFAMOR)
3) Kombination von AE mit Röntgen-Mikrotomografie und die Anwendung der frequenzbasierten Mustererkennung ermöglichen eine Zuordnung von AE und Mechanismen (Ergebnisse aus dem SNSF Projekt Nr. 127'134, Baensch 2014, Diss. ETH No. 22372)