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The complex failure process of concrete structures can not be described in detail by standard engineering design formulas. The numerical analysis of crack development in concrete is essential for several problems. In the last decades a large number of research groups have dealt with this topic and several models and algorithms were developed. However, most of these methods show some difficulties and are limited to special cases. The goal of this study was to develop an automatic algorithm for the efficient simulation of multiple cracking in plain and reinforced concrete structures of medium size. For this purpose meshless methods were used to describe the growth of crack surfaces. Two meshless interpolation schemes were improved for a simple application. The cracking process of concrete has been modeled using a stable criterion for crack growth in combination with an improved cohesive crack model which can represent the failure process under combined crack opening and crack sliding very well. This crack growth algorithm was extended in order to represent the fluctuations of the concrete properties by enlarging the single-parameter random field concept for multiple correlated material parameters.
Im Zusammenhang mit der gegenwärtigen Zustandsbewertung und geplanten Sanierung der Dreiturmanlage der St. Severikirche in Erfurt wird eine dynamische Analyse unter Glockenläuten mit Hilfe eines Finite-Elemente-Modells durchgeführt. Mit diesem unter Verwendung des Programms SLang erstellten FE-Modell wird das Schwingungsverhalten der Dreiturmanlage nachgebildet. Dabei dient als Grundlage die zuvor erfolgte Schwingungsmessung. Mit dem angepassten Modell werden schwingungsreduzierende Maßnahmen hinsichtlich ihrer Wirksamkeit untersucht und bewertet. Weiterhin wird an Ersatzsystemen die aktive Schwingungsisolierung mittels Glockenstuhlunterkonstruktion und der Einbau eines passiven Tilgerdämpfers betrachtet.
System identification is often associated with the evaluation of damage for existing structures. Usually, dynamic test data are utilized to estimate the parameter values for a given structural model. This requires the solution of an inverse problem. Unfortunately, inverse problems in general are ill-conditioned, particularly with a large number of parameter to be determined. This means that the accuracy of the estimated parameter values is not sufficiently high in order to enable a damage identification. The goal of this study was to develop an experimental procedure which allows to identify the system parameters in substructures with high reliability. For this purpose, the method of selective sensitivity was employed to define special dynamic excitations, namely selectively sensitive excitation. Two different approaches have been introduced, which are the quasi-static approach and the iteratively experimental procedure. The former approach is appropriate for statically determinate structures and excitation frequencies below the structure's fundamental frequency. The latter method, which uses a-priori information about the parameters to be identified to set up an iterative experiment, can be applied to statically indeterminate structures. The viability of the proposed iterative procedure in detection of small changes of structure's stiffness was demonstrated by a simple laboratory experiment. The applicability of the strategy, however, depends largely on experimental capacity. It was also experienced that such a test is associate with expensive cost of equipments and time-consuming work.
Experimentelle Untersuchung eines Verfahrens zur optimalen Positionierung von Referenzsensoren bei der experimentellen Modalanalyse mit output-only Methoden nach Brehm (2011). Untersuchung des Einflusses der Referenzsensorpositionierung, -anzahl und der Positionierung der wandernden Sensoren unter Anwendung des Stochastic-Subspace-Verfahrens zur Auswertung der output-only Messdaten.
In this research work, an energy approach is employed for assessing quality in dynamic soil-structure interaction (SSI) models, and energy measures are introduced and investigated as general indicators of structural response.
Dynamic SSI models with various abstraction levels are then investigated according to different coupling scenarios for soil and structure models.
The hypothesis of increasing model uncertainty with decreasing complexity is investigated and a mathematical framework is provided for the treatment of model uncertainty. This framework is applied to a case study involving alternative models for incorporating dynamic SSI effects. In the evaluation process, energy measures are used within the framework of the \textit{adjustment factor} approach in order to quantitatively assess the uncertainty associated with SSI models. Two primary types of uncertainty are considered, namely the uncertainty in the model framework and the uncertainty in the model input parameters.
Investigations on model framework uncertainty show that the more complex three-dimensional FE model has the best quality of the models investigated, whereas the Wolf SSI model produces the lowest model uncertainty of the simpler models. The fixed-base model produces the highest estimated uncertainty and accordingly the worst quality of all models investigated.
These results confirm the hypothesis of increasing model uncertainty with decreasing complexity only when the assessment is based on the ratio of structural hysteretic energy to input energy as a response indicator.