@phdthesis{Nasser, author = {Nasser, Mourad}, title = {Quality Assessment of Dynamic Soil-Structure Interaction Models Using Energy Measures}, publisher = {Verlag der Bauhaus-Universit{\"a}t}, address = {Weimar}, isbn = {978-3-86068-494-8}, doi = {10.25643/bauhaus-universitaet.1854}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20130220-18542}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {132}, abstract = {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.}, subject = {Boden-Bauwerk-Wechselwirkung}, 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} }