@misc{michelberger_projektergebnisse_2017, address = {Wien, Austria}, title = {Projektergebnisse {Integrierte} {LCA}: {Neue} {Einblicke} in {Sicherheit} und {Wirtschaftlichkeit}}, author = {Michelberger, Frank}, month = jan, year = {2017}, note = {Projekt: LICORNE}, keywords = {Center for Sustainable Mobility, Institut für Mobilitätsforschung, Publikationstyp Präsentation, peer-reviewed}, } @phdthesis{grossberger_framework_2014, address = {Wien}, title = {Framework for {Lifecycle} {Assessment} of {Engineering} {Structures}}, abstract = {Die Dissertation befasste sich mit integrierten Lebenszyklus-bewertungen von Stahlbeton-bauten und Brücken. In der Arbeit wurden Strukturmodelle (Bahnbrücken), deren zeitbezogene Alterungen, unterschiedliche Belastungsarten auf Grund externer und interner Einflüsse genau beschrieben und analysiert. Die Lebenszyklus-performance und die zeitabhängige Zuverlässigkeitsanalyse wurden durchgeführt. Die Arbeit umfasst die Entwicklung von numerischen Risikobewertungskonzepten sowie eine Verknüpfung von Ergebnissen aus Inspektion und Monitoring. Damit sollen Verschlechterungsvorhersagen von Strukturbauten ermittelt und prognostizierten werden können. Darüber hinaus wurden Aspekte wie deterministische und stochastische Performance-bewertungs-Ansätze untersucht.}, language = {English}, school = {Universität für Bodenkultur (BOKU)}, author = {Grossberger, Hirut}, month = aug, year = {2014}, note = {Projekt: LICORNE}, keywords = {Center for Sustainable Mobility, Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation}, } @inproceedings{grossberger_integrated_2016, address = {Wien}, title = {Integrated {Lifecycle} {Assessment} of raillway infrastructures}, url = {http://ffhoarep.fh-ooe.at/handle/123456789/703}, abstract = {Railway operators are in a continuous pressure to minimize the escalating maintenance and rehabilitation costs of infrastructures; at the same time they are expected to provide a safe and reliable service. This contribution attempts to illustrate an integrated approach for maintenance of existing railway track network by optimum allocation of natural and economical resources. Integrated lifecycle assessment methodology was used for the study and several lifecycle assessment models have been developed. The procedural action is development of LCA models for railway components in the railway network, eventually be combined to assess the lifecycle of the entire network. Stochastic numerical analysis supported the study of different degradation scenarios and enabled to incorporate uncertainties.}, booktitle = {10. {FORSCHUNGSFORUM} {DER} Ö{STERREICHISCHEN} {FACHHOCHSCHULEN} 2016}, author = {Grossberger, Hirut and Michelberger, Frank}, month = apr, year = {2016}, note = {Projekt: LICORNE}, keywords = {Center for Sustainable Mobility, Institut für Mobilitätsforschung, Publikationstyp Präsentation, Publikationstyp Schriftpublikation}, } @inproceedings{grossberger_lifecycle_2016, address = {Transport and Telecommunication Institute, Riga, Lativia}, title = {Lifecycle based user value analysis of rail-road level crossings: {Probabilistic} approach using {Monte} {Carlo} simulation}, isbn = {978-9984-818-82-5}, abstract = {Railway operators are in continuous pressure to minimize maintenance and rehabilitation costs of infrastructures; at the same time they are expected to provide a reliable service by optimum allocation of natural and economical resources. Railway tracks and level crossings are long-lived assets where their service life stretch 30 to 100 years. This paper aims to show an approach that serve as a decision support whereby expert’s knowledge can directly be integrated by using a delphiround. A proposed methodology is illustrated by application examples using level crossings commonly used in Austria by Wiener Lokalbahnen. Lifecycle based user –product performance- expectations and economic imperatives could be incorporated through the development of key performance metrics. Assessment criteria are set by allocation percentages for value criteria under these criteria are the sub value –contingencies where Monte Carlo simulation is used for probabilistic scenario analysis. The approach facilitates the first step for a detailed lifecycle cost analysis of infrastructures by supporting experts and non-expert decision makers to get a quicker insight on system benefits as well as serve as a bridge to the practical application of more robust data-driven lifecycle cost analysis.}, booktitle = {Reliability and {Statistics} in {Transportation} and {Communication}}, author = {Grossberger, Hirut and Mauler, Chiristoph and Michelberger, Frank}, month = oct, year = {2016}, note = {Projekt: LICORNE}, keywords = {Center for Sustainable Mobility, Institut für Mobilitätsforschung, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, } @misc{grossberger_lifecycle_2015, address = {Budapest}, title = {Lifecycle {Assessment} of {Existing} {Railway} {Infrastructures} and {Probabilistic} {Performance} {Approaches}}, abstract = {Railway operators are in a continuous pressure to minimize the escalating maintenance and rehabilitation costs of infrastructures; at the same time they are expected to provide a reliable service by optimum allocation of natural and economical resources. These challenges demand an excellent, risk informed decision process. The goal of the project ILCA (Integrated lifecycle Assessment of railway infrastructures) is to establish performance indicators for a railway network in reference to technical, economic, social and environmental requirements. This follows a procedural action to prepare a database for the lifecycle optimization based on the lifecycle performance and the direct and indirect consequences. Hence, this contribution attempts to show the prospect of optimizing the maintenance time of infrastructures at a railway network level using probabilistic approaches. At this stage, the contribution presents the general procedure to be followed in the project ILCA and emphasizes on probabilistic approach and selected performance indicators and prediction techniques to be applied in the estimation of the remaining lifetime of the infrastructures at a network level. This illustration of the probabilistic performance approach includes the concepts of uncertainty quantifications: random variable and stochastic structural deterioration processes. With Lifecycle model development for a selected railway network, first the components of the network such as rail tracks and bridges are treated separately, eventually be combined to assess the lifecycle of the entire network. This facilitates the study and suitability verification of deterioration and performance prediction models for the components of the whole network. Numerical analysis supports the study of different degradation scenarios. Furthermore, uuncertainties related to the quality of inspection information are treated by random variable model, where input parameters at a given inspection time (ti) are randomized.}, language = {English}, author = {Grossberger, Hirut and Michelberger, Frank}, month = oct, year = {2015}, note = {Projekt: LICORNE}, keywords = {Center for Sustainable Mobility, Institut für Mobilitätsforschung, Publikationstyp Präsentation}, }