@phdthesis{Alkam, author = {Alkam, Feras}, title = {Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference}, volume = {2021}, publisher = {Bauhaus-Universit{\"a}tsverlag}, address = {Weimar}, doi = {10.25643/bauhaus-universitaet.4433}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210526-44338}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {177}, abstract = {This work presents a robust status monitoring approach for detecting damage in cantilever structures based on logistic functions. Also, a stochastic damage identification approach based on changes of eigenfrequencies is proposed. The proposed algorithms are verified using catenary poles of electrified railways track. The proposed damage features overcome the limitation of frequency-based damage identification methods available in the literature, which are valid to detect damage in structures to Level 1 only. Changes in eigenfrequencies of cantilever structures are enough to identify possible local damage at Level 3, i.e., to cover damage detection, localization, and quantification. The proposed algorithms identified the damage with relatively small errors, even at a high noise level.}, subject = {Parameteridentifikation}, language = {en} } @phdthesis{Froebel, author = {Fr{\"o}bel, Toni}, title = {Data coupled civil engineering applications: Modeling and quality assessment methods}, publisher = {Verlag der Bauhaus-Universit{\"a}t Weimar 2013}, address = {Weimar}, isbn = {978-3-86068-486-3}, doi = {10.25643/bauhaus-universitaet.1836}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20130128-18366}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {153}, abstract = {The planning process in civil engineering is highly complex and not manageable in its entirety. The state of the art decomposes complex tasks into smaller, manageable sub-tasks. Due to the close interrelatedness of the sub-tasks, it is essential to couple them. However, from a software engineering point of view, this is quite challenging to do because of the numerous incompatible software applications on the market. This study is concerned with two main objectives: The first is the generic formulation of coupling strategies in order to support engineers in the implementation and selection of adequate coupling strategies. This has been achieved by the use of a coupling pattern language combined with a four-layered, metamodel architecture, whose applicability has been performed on a real coupling scenario. The second one is the quality assessment of coupled software. This has been developed based on the evaluated schema mapping. This approach has been described using mathematical expressions derived from the set theory and graph theory by taking the various mapping patterns into account. Moreover, the coupling quality has been evaluated within the formalization process by considering the uncertainties that arise during mapping and has resulted in global quality values, which can be used by the user to assess the exchange. Finally, the applicability of the proposed approach has been shown using an engineering case study.}, subject = {Data exchange, Schema mapping, Quality assessment, Uncertainty, Coupling, BIM, Design patterns, Metamodel architecture}, language = {en} } @phdthesis{Goebel, author = {G{\"o}bel, Luise}, title = {Experimental and semi-analytical multiscale approaches for the characterization of the elastic and viscoelastic behavior of polymer-modified cement-based materials}, publisher = {Bauhaus-Universit{\"a}tsverlag}, address = {Weimar}, isbn = {978-3-95773-269-9}, doi = {10.25643/bauhaus-universitaet.3827}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181211-38279}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {259}, abstract = {Polymer-modified cement concrete (PCC) is a heterogeneous building material with a hierarchically organized microstructure. Therefore, continuum micromechanics-based multiscale models represent a promising method to estimate the mechanical properties. By means of a bottom-up approach, homogenized properties at the macroscopic scale are derived considering microstructural characteristics. The extension of existing multiscale models for the application to PCC is the main objective of this work. For that, cross-scale experimental studies are required. Both macroscopic and microscopic mechanical tests are performed to characterize the elastic and viscoelastic properties of different PCC. The comparison between experiment and model prediction illustrates the success of the modeling approach.}, subject = {Elastizit{\"a}tsmodul}, language = {en} } @phdthesis{Karaki, author = {Karaki, Ghada}, title = {Assessment of coupled models of bridges considering time-dependent vehicular loading}, doi = {10.25643/bauhaus-universitaet.1589}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20120402-15894}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {184}, abstract = {Bridge vibration due to traffic loading has been a subject of extensive research in the last decades. The focus of such research has been to develop solution algorithms and investigate responses or behaviors of interest. However, proving the quality and reliability of the model output in structural engineering has become a topic of increasing importance. Therefore, this study is an attempt to extend concepts of uncertainty and sensitivity analyses to assess the dynamic response of a coupled model in bridge engineering considering time-dependent vehicular loading. A setting for the sensitivity analysis is proposed, which enables performing the sensitivity analysis considering random stochastic processes. The classical and proposed sensitivity settings are used to identify the relevant input parameters and models that have the most influence on the variance of the dynamic response. The sensitivity analysis exercises the model itself and extracts results without the need for measurements or reference solutions; however, it does not offer a means of ranking the coupled models studied. Therefore, concepts of total uncertainty are employed to rank the coupled models studied according to their fitness in describing the dynamic problem. The proposed procedures are applied in two examples to assess the output of coupled subsystems and coupled partial models in bridge engineering considering the passage of a heavy vehicle at various speeds.}, subject = {Ingenieurbau}, language = {en} } @phdthesis{Keitel, author = {Keitel, Holger}, title = {Bewertungsmethoden f{\"u}r die Prognosequalit{\"a}t von Kriechmodellen des Betons}, publisher = {Verlag der Bauhaus-Universit{\"a}t Weimar}, address = {Weimar}, isbn = {978-3-86068-466-5}, doi = {10.25643/bauhaus-universitaet.1556}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20120207-15569}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {390}, abstract = {Ziel dieser Arbeit ist die Entwicklung von Methoden, mit denen die Prognosequalit{\"a}t von Kriechmodellen des Betons bestimmt werden kann. Die Methoden werden in zwei Ausgangsszenarien unterschieden: die Bewertung ohne und die Bewertung mit Verwendung von spezifischen Versuchsdaten zum Kriechverhalten des Betons. Die Modellqualit{\"a}t wird anhand der Gesamtunsicherheit der prognostizierten Kriechnachgiebigkeit quantifiziert. Die Unsicherheit wird f{\"u}r die Kriechprognose ohne Versuchsdaten {\"u}ber eine Unsicherheitsanalyse unter Ber{\"u}cksichtigung korrelierter Eingangsparameter ermittelt. Bei der Verwendung experimenteller Daten werden die stochastischen Eigenschaften der Modellparameter mittels Bayesian Updating bestimmt. Die Bewertung erfolgt erneut basierend auf einer Unsicherheitsanalyse sowie alternativ mittels Modellselektion nach Bayes. Weiterhin wird eine auf Graphentheorie und Sensitivit{\"a}tsanalysen basierende Methode zur Bewertung von gekoppelten Partialmodellen entwickelt. Damit wird der Einfluss eines Partialmodells auf das Verhalten einer globalen Tragstruktur quantifiziert, Interaktionen von Partialmodellen festgestellt und ein Maß f{\"u}r die Qualit{\"a}t eines Gesamtmodells ermittelt.}, subject = {Kriechen}, language = {de} } @phdthesis{Nikulla, author = {Nikulla, Susanne}, title = {Quality assessment of kinematical models by means of global and goal-oriented error estimation techniques}, publisher = {Verlag der Bauhaus-Universit{\"a}t Weimar}, address = {Weimar}, doi = {10.25643/bauhaus-universitaet.1616}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20120419-16161}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {117}, abstract = {Methods for model quality assessment are aiming to find the most appropriate model with respect to accuracy and computational effort for a structural system under investigation. Model error estimation techniques can be applied for this purpose when kinematical models are investigated. They are counted among the class of white box models, which means that the model hierarchy and therewith the best model is known. This thesis gives an overview of discretisation error estimators. Deduced from these, methods for model error estimation are presented. Their general goal is to make a prediction of the inaccuracies that are introduced using the simpler model without knowing the solution of a more complex model. This information can be used to steer an adaptive process. Techniques for linear and non-linear problems as well as global and goal-oriented errors are introduced. The estimation of the error in local quantities is realised by solving a dual problem, which serves as a weight for the primal error. So far, such techniques have mainly been applied in material modelling and for dimensional adaptivity. Within the scope of this thesis, available model error estimators are adapted for an application to kinematical models. Their applicability is tested regarding the question of whether a geometrical non-linear calculation is necessary or not. The analysis is limited to non-linear estimators due to the structure of the underlying differential equations. These methods often involve simplification, e.g linearisations. It is investigated to which extent such assumptions lead to meaningful results, when applied to kinematical models.}, subject = {Model quality, Model error estimation, Kinematical model, Geometric non-linearity, Finite Element method}, language = {en} }