@phdthesis{Unger2009,
  author    = {Unger, J{\"o}rg F.},
  title     = {Neural networks in a multiscale approach for concrete},
  doi       = {10.25643/bauhaus-universitaet.1392},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20090626-14763},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  year      = {2009},
  abstract  = {From a macroscopic point of view, failure within concrete structures is characterized by the initiation and propagation of cracks. In the first part of the thesis, a methodology for macroscopic crack growth simulations for concrete structures using a cohesive discrete crack approach based on the extended finite element method is introduced. Particular attention is turned to the investigation of criteria for crack initiation and crack growth. A drawback of the macroscopic simulation is that the real physical phenomena leading to the nonlinear behavior are only modeled phenomenologically. For concrete, the nonlinear behavior is characterized by the initiation of microcracks which coalesce into macroscopic cracks. In order to obtain a higher resolution of this failure zones, a mesoscale model for concrete is developed that models particles, mortar matrix and the interfacial transition zone (ITZ) explicitly. The essential features are a representation of particles using a prescribed grading curve, a material formulation based on a cohesive approach for the ITZ and a combined model with damage and plasticity for the mortar matrix. Compared to numerical simulations, the response of real structures exhibits a stochastic scatter. This is e.g. due to the intrinsic heterogeneities of the structure. For mesoscale models, these intrinsic heterogeneities are simulated by using a random distribution of particles and by a simulation of spatially variable material parameters using random fields. There are two major problems related to numerical simulations on the mesoscale. First of all, the material parameters for the constitutive description of the materials are often difficult to measure directly. In order to estimate material parameters from macroscopic experiments, a parameter identification procedure based on Bayesian neural networks is developed which is universally applicable to any parameter identification problem in numerical simulations based on experimental results. This approach offers information about the most probable set of material parameters based on experimental data and information about the accuracy of the estimate. Consequently, this approach can be used a priori to determine a set of experiments to be carried out in order to fit the parameters of a numerical model to experimental data. The second problem is the computational effort required for mesoscale simulations of a full macroscopic structure. For this purpose, a coupling between mesoscale and macroscale model is developed. Representative mesoscale simulations are used to train a metamodel that is finally used as a constitutive model in a macroscopic simulation. Special focus is placed on the ability of appropriately simulating unloading.},
  subject      = {Beton},
  language  = {en}
}
@inproceedings{KohlerBodin2003,
  author    = {Kohler, Niklaus and Bodin, Olivier},
  title     = {Dealing with sensitivity and uncertainty analysis in integrated buildung LCA model : Dealing with Uncertainty in Life Cyle Analysis of Building Model by Using Experiment Design Methods},
  doi       = {10.25643/bauhaus-universitaet.322},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-3220},
  year      = {2003},
  abstract  = {Building design, realization, operation and refurbishment have to take into account the environmental impacts as well as the resulting costs over a long period of time. LCA methods had to be developed for buildings because of their complexity, their long life duration and through a large number of actors who are involved. This was realized by integrating life cycle analysis, life cycle costing and building product models in integrated LCA models. However the use of such models leads to difficulties. The principal ones are the uncertainty treatment in LCA models and the lack of experience of practitioners who are not LCA specialists. Answers to these problems are the management of uncertainty and the development of simplified models for building design, construction and operation. This can be achieved with the mean of experimental plans or Monte Carlo simulation. The paper will focus on how these techniques can be used, what are their possibilities and disadvantages, particularly concerning the development of simplified models.},
  subject      = {Bauwerk},
  language  = {en}
}
@phdthesis{Achenbach,
  author    = {Achenbach, Marcus},
  title     = {Weiterentwicklung der Zonenmethode f{\"u}r den Nachweis der Feuerwiderstandsdauer von rechteckigen Stahlbetondruckgliedern},
  publisher = {Bauhaus-Universit{\"a}tsverlag},
  address   = {Weimar},
  isbn      = {978-3-95773-264-4},
  doi       = {10.25643/bauhaus-universitaet.3848},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190119-38484},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {174},
  abstract  = {Die Zonenmethode nach Hertz ist ein vereinfachtes Verfahren zur Heißbemessung von Stahlbetonbauteilen. Um eine h{\"a}ndische Bemessung zu erm{\"o}glichen, werden daher verschiedene Annahmen und Vereinfachungen getroffen. Insbesondere werden die thermischen Dehnungen vernachl{\"a}ssigt und das mechanische Verhalten durch einen verkleinerten Querschnitt mit konstanten Stoffeigenschaften beschrieben. Ziel der vorliegenden Arbeit ist, dieses vereinfachte Verfahren in ein nichtlineares Verfahren zur Heißbemessung von Stahlbetondruckgliedern bei Brandbeanspruchung durch die Einheits-Temperaturzeitkurve zu {\"u}berf{\"u}hren. Dazu werden die wesentlichen Annahmen der Zonenmethode {\"u}berpr{\"u}ft und ein Vorschlag zur Weiterentwicklung vorgestellt. Dieser beruht im Wesentlichen auf der Modellierung der druckbeanspruchten Bewehrung. Diese weiterentwickelte Zonenmethode wird durch die Nachrechnung von Laborversuchen validiert und das Sicherheitsniveau durch eine vollprobabilistische Analyse und den Vergleich mit dem allgemeinen Verfahren bestimmt.},
  subject      = {Bautechnik},
  language  = {de}
}