7.2 Ingenieurbau
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- Fatigue (3)
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Organisationseinheit der BAM
- 7.2 Ingenieurbau (33) (entfernen)
Eingeladener Vortrag
- nein (33) (entfernen)
Es wird die Vorgehensweise erläutert wie die Notwendigkeit einer elastischen Gebäudelagerung geprüft wird. Es werden die Möglichkeiten und Schwächen vereinfachter Rechenverfahren dargestellt. Es folgen weitere Beispiele detaillierter Gebäudemodelle und ihres Schwingungsverhaltens. Schließlich greift eine aktuelle Bachelorarbeit die Fragestellung komplexen Gebäudeschwingungsverhaltens auf. Die letzte Folie zeigt dazu Gebäudemodelle, die an die konkreten Erschütterungsprognosen anknüpfen.
This talk provides a brief introduction on general engineering challenges for the offshore (marine) wind energy production, focusing on material, structural and hydromechanical aspects.
The talk begins with a broad overview on general trends for offshore wind-farms, with insights on some characteristic structural features and their associated loads. Then, some particular open issues for the foundation of the offshore wind turbines into the seabed are introduced. Here, different research approaches are discussed, from experimental investigations to coupled computational analysis at micro- and macroscopic scales.
In the second part of the seminar, both the hydromechanical Wave–Tower interaction and some general aspects of the windfarm aerodynamics (wake analysis) are discussed. Some modelling possibilities in the frame of CFD (computational fluid dynamics) are introduced and the relevance of such analyses for a proper windfarm layout optimization is pointed out.
Summing up, this seminar aims to show that: i) Numerical analysis of the turbine’s interaction with wind/waves and with the seabed is both useful and affordable. ii) Simplified models can provide an insight into windfarm aerodynamics. iii) Turbulent wake analysis is very relevant for the windfarm layout.
Erschütterungen durch Industrie und Verkehr, Schwingungen von Gebäuden, Fundamenten und Gleisen hängen im hohen Maße vom jeweiligen unterliegenden Boden ab. Die Eigenschaften des Bodens ermitteln wir mit Wellenmessungen vor Ort. Die Wellen werden in der Regel mit einem Impulshammer erzeugt und mit Geophonen als Schwinggeschwindigkeits-signale gemessen. Geophone sind aktive Sensoren, die eine kleine Messspannung liefern. Ein 72-kanaliges Messsystem mit entsprechenden Messverstärkern ist im Messwagen der Arbeitsgruppe eingebaut. Es werden im Vortrag fünf verschiedene Auswertemethoden vorgestellt. Im einfachsten Fall versucht man die Laufzeit von einem Geophon zum andern auszumessen und damit die vorherrschende Wellengeschwindigkeit zu ermitteln. Wir haben Wellengeschwindigkeiten von 30 m/s für Moorboden bis 1000 m/s für Felsboden gemessen. Der Boden hat aber nicht nur eine Wellengeschwindigkeit, sondern mehrere frequenzabhängige Wellen-geschwindigkeiten. Dadurch wird aus einem kurzen Hammerschlag eine längere Schwingung (Zerstreuung, Dispersion). Für die Auswertung von dispersiven Wellen nutzt man die spektrale Analyse, zunächst mit zwei Aufnehmern (SASW Spectral Analysis of Surface Waves), später mit einer ganzen Messachse (Multi-Station SASW). Schließlich kann man eine ganze Messachse auch mit verschiedenen Transformationsmethoden auswerten wie die f,v-Methode und Spatial AutoCorrelation SPAC Methode. Alle diese Methoden wurden von uns auf Messreisen in Deutschland, Österreich und der Schweiz getestet. Durch die Approximation der frequenzabhängigen Wellengeschwindigkeiten erhält man ein passendes Bodenmodell. Zu diesem Bodenmodell kann man die Übertra¬gungsfunktionen für Hammer- und Zuganregung berechnen. Bei etlichen Mess¬orten wurden deutliche Merkmale einer Bodenschichtung beobachtet. Es ergibt sich eine Reduktion der tiefen Frequenzanteile durch den steifen unterliegenden Halbraum. Die weiche Deckschicht bestimmt das hochfrequente Verhalten.
The identification of the dynamic behavior of structures, like bridges and towers, is relevant to address multiple issues. In many cases the dynamic parameters should be acquired only once or at a frequency that doesn’t justify the installation of distinct vibration sensors for a long-term monitoring. To identify modal frequencies of a structure, a drone based mobile sensing platform has been implemented. This sensing platform measures the relative displacement be-tween the structure and the drone, which also shows a strong dynamic behavior under wind tur-bulences. By regarding the dynamic model of the drone and additional measurements at the dis-tance sensor the absolute movement of the structure can be estimated based on the measured relative distance. This time domain data is a suitable input for various operational modal analysis algorithms. The system has been used to identify the dynamic properties of test and real structure, like a 1.5 MW wind turbine tower.
Three measurement campaigns of train-induced ground vibrations are evaluated for the vehicle-track-soil interaction. Ground vibrations, track vibrations and vehicle vibrations have been measured for train passages and impulse excitation and compared with theoretical results. The soil and the track-soil system are calculated by wavenumber integrals. The influence of the vehicle is introduced by a substructure method. By comparing theory and measurement the different components of excitation force and ground vibration can be analysed, the quasi-static excitation, track-alignment errors, the out-of-roundness of wheels, the wheel and rail roughness, and moreover, scattered axle impulses and ineffective high-frequency parts of the wheelset accelerations and Forces.
Kontinuierliche Sensorbasierte Bauwerksmessungen leisten einen wichtigen Beitrag zur Sicherheit von Verkehrsbauwerken. Hierzu werden im Vorhaben AISTEC Referenzbauwerke und Referenzverfahren untersucht mit Schwerpunkt auf den Einfluss klimatischer Bedingungen. Der Vortrag stellt den aktuellen Projektstand des FB 7.2 vor.
Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM) approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a General reference model is obtained from data in the reference state at several known reference temperatures.
Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space Matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches.
Subspace-based damage detection handling temperature effects and uncertainty in the reference
(2019)
Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM)approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a general reference model is obtained from data in the reference state at several known reference temperatures. Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches.