Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F23%3APU149146" target="_blank" >RIV/00216305:26110/23:PU149146 - isvavai.cz</a>
Výsledek na webu
<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2195" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2195</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cepa.2195" target="_blank" >10.1002/cepa.2195</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges
Popis výsledku v původním jazyce
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, uncer-tainty 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.
Název v anglickém jazyce
Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges
Popis výsledku anglicky
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, uncer-tainty 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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-00774S" target="_blank" >GA22-00774S: Pravděpodobnostní posouzení v mostním inženýrství za užití náhradního metamodelu (MAPAB)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability
ISBN
—
ISSN
2509-7075
e-ISSN
—
Počet stran výsledku
10
Strana od-do
1242-1251
Název nakladatele
Ernst & Sohn GmbH & Co. KG.
Místo vydání
Berlin, Germany
Místo konání akce
Vienna, Austria
Datum konání akce
25. 9. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001256546000039