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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, 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.

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Document Type:Master's Thesis
Author:M.Sc. Mihai-Andrei Udrea
DOI (Cite-Link):https://doi.org/10.25643/bauhaus-universitaet.2174Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20140429-21742Cite-Link
Referee:Prof. Dr.-Ing. habil. Carsten KönkeORCiDGND
Advisor:Dr.-Ing. Volkmar Zabel
Date of Publication (online):2014/02/28
Year of first Publication:2014
Date of final exam:2013/10/28
Release Date:2014/04/29
Publishing Institution:Bauhaus-Universität Weimar
Granting Institution:Bauhaus-Universität Weimar, Fakultät Bauingenieurwesen
Institutes:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Tag:automatic modal analysis; clustering; modal parameter estimation; modal tracking; stochastic subspace identification
GND Keyword:Messtechnik
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
BKL-Classification:56 Bauwesen
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)