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Risikobasierte Überwachungsverfahren zur Lebensdauerverlängerung von bestehenden und neuen Bauwerken
(2011)
Diese Veröffentlichung enthält Konzepte zur Lebensdauerverlängerung von Bauwerken auf der Grundlage der Tragwerkszuverlässigkeitstheorie. Es werden aktuelle Forschungsergebnisse aus nationalen und europäischen Forschungsvorhaben vorgestellt. Den Schwerpunkt bildet die Verwendung von Bauwerksüberwachungsdaten unter Berücksichtigung von Messunsicherheiten zur Bestimmung der Tragwerkszuverlässigkeit. Dazu wird ein neuer Ansatz zur Bestimmung der A-posteriori Messunsicherheit vorgestellt. Es wird gezeigt, aufgrund welcher Eigenschaften der verwendeten probabilistischen Modelle die Zuverlässigkeit im Grenzzustand der Ermüdung in Bezug auf eine Lebensdauerverlängerung beeinflusst werden kann.
This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and Statistical models of observations for the derivation of a posterior measurement uncertainty by Bayesian updating. This facilitates the quantification of a measurement uncertainty using all available data of the measurement process. For the reliability analysis in the ultimate limit state, monitoring data can be utilized as a loading model Information and as proof loading, i.e. resistance model Information. Both approaches are discussed with generic examples and it is shown that the modeling of monitoring data in a reliability analysis can result in a reduction of uncertainties and as a consequence in the reduction of the probability of failure. Furthermore, the proof loading concept is developed further to account for the uncertain characteristic of proof loading due to the measurement uncertainties which is consistent with the framework for the determination of measurement uncertainties. These approaches and findings can be utilized for the assessment of structures for life cycle extension and the design of monitoring Systems.
Inspections are an efficient means of enhancing the reliability of redundant structural Systems subjected to fatigue. To investigate the effect of such inspections, we represent the deterioration state of a Daniels System by means of a probabilistic fatigue crack growth model of all elements, which considers stochastic dependence among element fatigue behavior. We include inspection results in the calculation of the System collapse probability through Bayesian updating of the System deterioration state. Based on this approach, we calculate the collapse probability of a deteriorating Daniels System conditional on different inspection strategies in terms of inspection coverage and inspection times. The acceptability of an inspection strategy is verified by comparing the calculated collapse probabilities with maximum acceptable System failure probabilities. This study is a Step towards identifying optimal inspection strategies for redundant structural Systems subjected to fatigue.
Prototypes of wind turbines of the megawatt dass are to be built and tested until 2008 within a German offshore wind energy test field in the North Sea (ALPHA VENTUS). To ensure a high operational reliability of offshore wind turbines with economically acceptable repair and maintenance efforts, comprehensive diagnosis and supervision concepts are required. Automatic monitoring Systems will be an essential part of such concepts. Because of the fact, that during Operation there will be static and dynamic interaction between the components ‘structure’, ‘machinery’ and ‘blades’ it is necessary to develop the monitoring techniques in an overall concept. These monitoring Systems are supposed to be applied for the design and testing as well as for the Operation and maintenance phases. In the paper the developed approaches for the measurement of actions and the condition monitoring of all components of an offshore wind energy plant will be shown.
Im Rahmen mehrerer vom Bundesumweltministerium geförderter Forschungsvorhaben untersucht die BAM Bundesanstalt für Materialforschung und -prüfung zusammen mit Partnern aus Industrie und Wissenschaft das Tragverhalten von zyklisch lateral und axial belasteten Rammpfählen für Offshore-Windkraftanlagen. Neben Modellversuchen im Labor werden hierbei auch Großversuche durchgeführt. In diesem Beitrag wird das neu erstellte Testfeld der BAM zur Prüfung von Pfählen in Horstwalde vorgestellt. In den laufenden Großversuchen werden Parameter wie Tragfähigkeitsminderung infolge zyklisch-axialer Lasten im Druck- und Zugbereich sowie die Zunahme von Tragfähigkeiten durch sogenannte Anwachseffekte untersucht. Bezüglich der zyklischen Belastungen werden insbesondere als unsicher anzunehmende Wertepaare in den derzeit verwendeten Interaktionsdiagrammen betrachtet, wobei hier das Hauptaugenmerk aber nicht nur auf dem Versagen des Pfahls, sondern auch auf der Ermittlung der Resttragfähigkeit nach definierten Zyklenzahlen liegt. Im Beitrag werden erste Ergebnisse zu den Anwachseffekten präsentiert und mit Ergebnissen aus der Literatur verglichen. Des Weiteren werden das Versuchsprogramm zu den zyklisch axial belasteten Pfählen vorgestellt und erste Ergebnisse gezeigt. In einem Ausblick werden weitere Ziele des Forschungsvorhabens beschrieben. Hierzu gehören die Validierung und Kalibrierung eines existierenden Modells zur Ermittlung der Tragfähigkeit unter zyklischer Belastung auf der Grundlage aktueller Messdaten am Pfahl.-----------------------------------------------------------------------------------------------
Large-scale tests on driven piles for the investigation of pile capacity under cyclic loading and ageing effects. The cyclic behaviour of axially and laterally loaded piles for the foundation of offshore wind turbines is being investigated by the Federal Institute for Materials Research and Testing (BAM) in the frame of several research projects funded by the German Federal Ministry for the Environment and carried out in cooperation with industrial and academic partners. To this end, physical model tests in reduced scale as well as large scale field tests are being performed. This paper presents the new pile testing facility in the BAM's testing site at Horstwalde. The large-scale tests being performed there are aiming at the pile capacity degradation due to cyclic axial loading (both in tension and compression) as well as at the investigation of the capacity gains due to ageing effects (pile setup). Concerning the cyclic loading, the investigations have been mainly focused on special load combinations where there is little experience and where current interaction diagrams are loosely defined. However, the aim of the tests was not the cyclic failure, but rather the assessment of the post-cyclic capacity after the application of a pre-defined number of load cycles. Here, the testing program is summarised and some key results from the first testing campaign are discussed. The paper also presents some preliminary results concerning the capacity gains through ageing and compares them to previous experience from the literature. Finally, the paper gives an outlook on further goals of the current research projects, including the validation and calibration of a design model for the cyclic capacity of piles based on measured data from real piles.
A great deal is possible, even on the seabed. Together, wind and waves shake the foundations of the offshore wind turbines. "ere is also the “normal” current and ebb and #ow of the tides that are so distinctive in the North Sea. Pore water pressure can also occur on the seabed, loosening it. Where monopiles are involved, the worst case is that the stability of the whole turbine can be altered – even if such a monopile rammed into the seabed has a diameter of up to eight metres. Over half the planned offshore wind turbines in the North and Baltic Seas are to have monopile foundations, and over 40 % are to have multi-pile foundations, designed for example as a tripod. "is is why pile foundations and their loads deserve special attention. For one thing above all is to be avoided in plant operations, and that is the risk of turbine tilt.
Schieflagen bitte vermeiden
(2016)
Vieles ist möglich, auch auf dem Meeresboden. Wind und Wellen rütteln gemeinsam an der Gründung, den Fundamenten der Offshore-Windenergieanlagen. Hinzu kommen die „ganz normale“ Strömung sowie die in der Nordsee besonders ausgeprägten Gezeiten von Ebbe und Flut. Zudem kann am Meeresboden Porenwasserüberdruck entstehen, der den Boden lockern und im schlimmsten Fall bei Monopiles die Stabilität der gesamten Anlage ändern kann. Selbst wenn ein solcher in den Meeresboden gerammter Pfahl bis zu 8 Meter Durchmesser hat. Über die Hälfte der geplanten Offshore-Anlagen in Nord- und Ostsee werden mit Ein-Pfahl-Gründungen geplant, über 40 % sollen als Mehrpfahl-Gründungen, zum Beispiel als Tripod, ausgeführt werden. Von daher verdienen Pfahlgründungen und ihre Belastungen besondere Aufmerksamkeit. Denn eines gilt es im Anlagenbetrieb unbedingt zu vermeiden: Eine drohende Schiefstellung der Anlage
To ensure a high operational reliability of offshore wind turbines (OWEC) with economically acceptable repair and maintenance efforts, comprehensive diagnosis and supervision concepts are required. Automatic monitoring Systems will be an essential part of such concepts. Because of the fact, that during Operation there will be static and dynamic interaction between the components ‘structure’, ‘machinery’ and ‘blades’ it is necessary to develop the monitoring techniques in an overall concept. These monitoring Systems are supposed to be applied for the design and testing as well as for the Operation and maintenance phases. The knowledge of the dynamic behavior of wind turbines is important both for the design and for a safe Operation. The available monitoring data from a period of three years, allow first conclusions on the long-term Operation of such Systems in terms of quality requirements to the instrumentation to the structure and the rotor blades
This paper deals with the system identification of a mechanical structure supported by nonlinear springs subjected to an external load. If all mechanical parameters of the system were known, the displacement of the system subjected to this load could be easily calculated. However, the monitoring applications often deal with the inverse problem. The loads and displacements of the system are known and certain mechanical Parameters of the system are sought. The solution of such inverse problems can be difficult, especially when they have a nonlinear and multimodal character, which often makes them appear intractable at first sight. However, evolutionary computing can be applied to solve this inverse, nonlinear and multimodal problem. Sometimes a prior knowledge exists on certain system properties, which is difficult to implement into analytical or numerical solvers. This knowledge can play a decisive role in identifying the System properties and it can be easily included as a boundary condition when applying evolutionary algorithms.
This article discusses how and under what conditions the unknown spring resistances can be identified. The practical application of this procedure is exemplified here with the mechanical system of a pile foundation.