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Assessment of Data from Dynamic Bridge Monitoring

  • The focus of the thesis is to process measurements acquired from a continuous monitoring system at a railway bridge. Temperature, strain and ambient vibration records are analysed and two main directions of investigation are pursued. The first and the most demanding task is to develop processing routines able to extract modal parameters from ambient vibration measurements. For this purpose,The focus of the thesis is to process measurements acquired from a continuous monitoring system at a railway bridge. Temperature, strain and ambient vibration records are analysed and two main directions of investigation are pursued. The first and the most demanding task is to develop processing routines able to extract modal parameters from ambient vibration measurements. For this purpose, reliable experimental models are achieved on the basis of a stochastic system identification(SSI) procedure. A fully automated algorithm based on a three-stage clustering is implemented to perform a modal parameter estimation for every single measurement. After selecting a baseline of modal parameters, the evolution of eigenfrequencies is studied and correlated to environmental and operational factors. The second aspect deals with the structural response to passing trains. Corresponding triggered records of strain and temperature are processed and their assessment is accomplished using the average strains induced by each train as the reference parameter. Three influences due to speed, temperature and loads are distinguished and treated individually. An attempt to estimate the maximum response variation due to each factor is also carried out.zeige mehrzeige weniger

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Metadaten
Dokumentart:Masterarbeit
Verfasserangaben:M.Sc. Mihai-Andrei Udrea
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.2174Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20140429-21742Zitierlink
Gutachter:Prof. Dr.-Ing. habil. Carsten KönkeORCiDGND
Betreuer:Dr.-Ing. Volkmar ZabelORCiDGND
Sprache:Englisch
Datum der Veröffentlichung (online):28.02.2014
Jahr der Erstveröffentlichung:2014
Datum der Abschlussprüfung:28.10.2013
Datum der Freischaltung:29.04.2014
Veröffentlichende Institution:Bauhaus-Universität Weimar
Titel verleihende Institution:Bauhaus-Universität Weimar, Fakultät Bauingenieurwesen
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM)
Freies Schlagwort / Tag:automatic modal analysis; clustering; modal parameter estimation; modal tracking; stochastic subspace identification
GND-Schlagwort:Messtechnik
DDC-Klassifikation:600 Technik, Medizin, angewandte Wissenschaften
BKL-Klassifikation:56 Bauwesen
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)