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Numerical calibration of railway bridge based on measurement data

 Numerical calibration of railway bridge based on measurement data
Author(s): , , , ,
Presented at IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, published in , pp. 1264-1272
DOI: 10.2749/ghent.2021.1264
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Bridges rarely behave precisely according to design assumptions. In most cases, they have some hidden reserves and behave preferable under traffic loads. To take these benefits into consideration n...
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Bibliographic Details

Author(s): (AIT – Austrian Institute of Technology GmbH, Vienna, Austria)
(AIT – Austrian Institute of Technology GmbH, Vienna, Austria)
(AIT – Austrian Institute of Technology GmbH, Vienna, Austria)
(ZAG – Slovenian national building and civil engineering institute, Ljubljana, Slovenia)
(ZAG – Slovenian national building and civil engineering institute, Ljubljana, Slovenia)
(ZAG – Slovenian national building and civil engineering institute, Ljubljana, Slovenia)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Published in:
Page(s): 1264-1272 Total no. of pages: 9
Page(s): 1264-1272
Total no. of pages: 9
DOI: 10.2749/ghent.2021.1264
Abstract:

Bridges rarely behave precisely according to design assumptions. In most cases, they have some hidden reserves and behave preferable under traffic loads. To take these benefits into consideration numerical models can be calibrated based on measured structural response. The case study presented herein shows the calibration process for a railway truss bridge in Austria and the comparison of calibration results obtained by two individual teams. Each team did an individual and independent calibration based on different finite element models based on measured train passages. Both calibrations improved the precision of the calculated model response compared to the initial model, but also showed that the calibration parameters must be chosen with care to ensure plausibility of the results.

Keywords:
optimization railroad measurements B-WIM model calibration Influence Lines
Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
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