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Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges

Autor(en): (Brno University of Technology Brno Czech Republic)
(BOKU University Vienna Austria)
(Brno University of Technology Brno Czech Republic)
(Brno University of Technology Brno Czech Republic)
(Brno University of Technology Brno Czech Republic)
(Brno University of Technology Brno Czech Republic)
(Brno University of Technology Brno Czech Republic)
(Brno University of Technology Brno Czech Republic)
(Cervenka Consulting Prague Czech Republic)
(BOKU University Vienna Austria)
(BOKU University Vienna Austria)
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: ce/papers, , n. 5, v. 6
Seite(n): 1242-1251
DOI: 10.1002/cepa.2195
Abstrakt:

Consideration of uncertainties in bridge structural engineering is a growing topic because it provides valuable information on the reliability of bridges in time while addressing life‐cycle aspects. Utilization of nonlinear finite element method (NLFEM) and Monte Carlo (MC) type simulation is essential for modelling of the concrete bridge random behaviour and its reliability assessments. This contribution describes keystones of a complex methodology for statistical, reliability and risk analyses of concrete structures including advanced nonlinear finite element analysis, uncertainty propagation and degradation modelling. It presents virtual simulation used on the way from assessment of experimental results to reliability analysis of a bridge structure, based on randomization of nonlinear fracture mechanics finite element analysis. Keystones of complex methodology are material parameters identification, nonlinear computational modelling, uncertainties propagation, surrogate modelling, degradation modelling, and safety formats. The paper describes methodology and for a routine complex assessment utilizing developed software tools and practical application of the approach for selected case studies of concrete bridges from Austria and the Czech Republic.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1002/cepa.2195.
  • Über diese
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  • Reference-ID
    10766789
  • Veröffentlicht am:
    17.04.2024
  • Geändert am:
    17.04.2024
 
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