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A steel pipeline segment of 2.5 m length was subjected to quasi-static four-point bending load in three steps for studying the initial cracking and damage accumulation based on the Acoustic Emission (AE) technique and by the direct current potential drop (DCPD) technique. For the latter, a new post-test analysis method was established.
AE is found more sensitive to crack initiation than DCPD. Formation of mesoscopic and macroscopic cracks as well as their closure and the resulting friction generate weighted peak frequencies below 400 kHz, whereas microscopic cracking produces AE with broad band spectra identifiable by weighted peak frequencies above 400 kHz. Critical states alike the maximum load level and the leak opening were accompanied by peak amplitudes above 85 dBAE. This rather fundamental study provides a data base for possibly developing advanced strategies of detection and alarm systems based on acoustic monitoring of pipelines, or at least, steel structures.
Pipe integrity is a central concern regarding technical safety, availability, and environmental compliance of industrial plants and pipelines. A condition monitoring system that detects and localizes threats in pipes prior to occurrence of actual structural failure, e.g., leakages, especially needs to target transient events such as impacts on the pipe wall or pressure waves travelling through the medium. In the present work, it is shown that fiber-optic distributed acoustic sensing (DAS) in conjunction with a suitable application geometry of the optical fiber sensor allows to track propagating acoustic waves in the pipeline wall on a fast time-scale. Therefore, short impacts on the pipe may be localized with high fidelity. Moreover, different acoustic modes are identified, and their respective group velocities are in good agreement with theoretical predications. In another set of experiments modeling realistic damage scenarios, we demonstrate that pressure waves following explosions of different gas mixtures in pipes can be observed. Velocities are verified by local piezoelectric pressure transducers. Due to the fully distributed nature of the fiber-optic sensing system, it is possible to record accelerated motions in detail. Therefore, in addition to detection and localization of threatening events for infrastructure monitoring, DAS may provide a powerful tool to study the development of gas explosions in pipes, e.g., investigation of deflagration-to-detonation-transitions (DDT).
Um ein tieferes Verständnis über die Schallemission bei der Entstehung und Ausbreitung von Rissen in Stahlrohrleitungen zu erlangen, wurde ein Stahlrohr der Güte S355J2H im Vierpunkt-Biegeversuch quasistatisch bis hin zum Wanddurchbruch (Leckage) belastet und mittels Schallemissionsmessung und Gleichstrompotentialmessung überwacht. Das Rohrsegment wurde durch einen 90°- Außenumfangskerb in der Mitte der Rohrlänge definiert vorgeschädigt, um davon ausgehend ein stabiles Risswachstum zu induzieren und die Analyse von Schallemission aus Rissereignissen, die am Kerb eintraten, sicherzustellen. Für die Schallemissionsmessung wurden vier Breitbandsensoren max. 105 mm vom Kerb entfernt montiert. Die Signalaufzeichnung erfolgte kontinuierlich und schwellwertunabhängig. Für die Gleichstrompotentialmessung wurde ein Gleichstrom von 300 A eingeleitet und der Potentialabfall über dem Kerb mit fünf Sonden entlang des Kerbs gemessen. Beide Messverfahren identifizieren die Rissinitiierung sowie Veränderungen im Risswachstum. Die detektierten Schallemissionsereignisse werden, unter Berücksichtigung spektraler Eigenschaften, mit fortschreitender Belastung und Rissentwicklung analysiert. Diese Studien wurden im Rahmen des interdisziplinären Forschungsprojekts AGIFAMOR, Aging infrastructure - Faseroptisches Monitoring von Rohrleitungen, an der BAM durchgeführt.
In the presented work, the potential of fiber-optic distributed acoustic sensing (DAS) for detection of small gas pipeline leaks (<1%) is investigated. Helical wrapping of the sensing fiber directly around the pipeline is used to increase the system sensitivity for detection of weak leak-induced vibrations. DAS measurements are supplemented with reference accelerometer data to facilitate analysis and interpretation of recorded vibration signals. The results reveal that a DAS system using direct fiber application approach is capable of detecting pipeline natural vibrations excited by the broadband noise generated by the leaking medium. In the performed experiment, pipeline vibration modes with acceleration magnitudes down to single ug were detected. Simple leak detection approach based on spectral integration of time-averaged DAS signals in frequency domain was proposed. Potential benefits and limitations of the presented monitoring Approach were discussed with respect to its practical applicability. We demonstrated that the approached is potentially capable of detection and localization of gas pipeline leaks with leak rates down to 0.1% of the pipeline flow volume and might be of interest for monitoring of short- and medium-length gas pipelines.