Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges

Abstract

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.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.