Pitting corrosion and structural reliability of corroding RC structures: Experimental data and probabilistic analysis

Stewart, Mark G.; Al-Harthy, Ali

doi:10.1016/j.ress.2006.12.013

Cited by 250 publications

(103 citation statements)

References 24 publications

Supporting

Mentioning

102

Contrasting

Unclassified

Order By: Relevance

“…Improved extreme value statistics for pitting is achieved by including the effect of corrosion on reinforcement material properties (Stewart and Al-Harthy 2008). Maximum pit depths, are measured for each 100 mm length of the reinforcing bar.…”

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

“…Maximum pit depths, are measured for each 100 mm length of the reinforcing bar. A Gumbel distribution is selected to fit to the R values extracted from the measurements (Stewart and Al-Harthy 2008). The statistical parameters are modified to predict the distribution for any length of reinforcement bar, : (7) (8) where, and are Gumbel parameters obtained from corrosion tests for reinforcing bars of length mm (Sheikh et al 1990;Stewart 2009).…”

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

“…The statistical parameters are modified to predict the distribution for any length of reinforcement bar, : (7) (8) where, and are Gumbel parameters obtained from corrosion tests for reinforcing bars of length mm (Sheikh et al 1990;Stewart 2009). It is assumed the adjacent reinforcing bars are statistically independent which is not the case in reality, but the statistical parameters taken from measurements have captured this variability (Stewart and Al-Harthy 2008).…”

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

“…A spatial time-dependent reliability analysis, considering shear and flexure limit states, is developed by Stewart (2009), using improved probabilistic models of pitting corrosion (Stewart and Al-Harthy 2008). He incorporates ductile and brittle mechanical behaviour of reinforcement for main (longitudinal) reinforcement and stirrups, and includes statistics for time-dependent reduction in structural capacity and loss of cross-sectional area, conditional on beam collapse.…”

Section: Introductionmentioning

confidence: 99%

“…The load models used to assess the safety of corroding structures are often either oversimplified or estimated from conservative standards or codes of practice and not from actual traffic data (Stewart 2004;Stewart and Al-Harthy 2008;Kenshel 2009). Analysis of measured data shows subtle patterns of correlation in vehicle weights and gaps, both within lanes and between adjacent lanes in samedirection traffic (OBrien and Enright 2011), which has not been accounted for in most of the literature.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Hajializadeh

Stewart

Enright³

et al. 2015

Structure and Infrastructure Engineering

Self Cite

View full text Add to dashboard Cite

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

Section: Time-dependent Spatially Variable Resistancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Hajializadeh

Stewart

Enright³

et al. 2015

Structure and Infrastructure Engineering

Self Cite

View full text Add to dashboard Cite

Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges

Novák,

Strauss,

Novák

et al. 2023

ce papers

View full text Add to dashboard Cite

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.

show abstract

Life‐cycle seismic fragility of a cable‐stayed bridge considering chloride‐induced corrosion

Wei

et al. 2022

Earthquake Engineering and Resilience

View full text Add to dashboard Cite

The coastal or sea‐crossing bridges located in seismic regions are experiencing long‐term chloride‐induced corrosion in their life cycles and have a high risk of suffering from strong earthquakes. Thus, the fragilities of these bridges must be properly evaluated under the multiple hazards of corrosion and earthquake. Conventional fragility assessment requires expensive computational efforts despite extensive applications in previous research. To this end, this paper proposes a life‐cycle fragility analysis framework based on the endurance time method to investigate the deterioration impact on the seismic fragility of bridges. An example sea‐crossing cable‐stayed bridge is utilized as a case study and modeled by OpenSees considering different service years. The life‐cycle fragility curves of the example bridge are generated using the artificial endurance time series. Fragility analysis results show that the proposed method is capable of assessing the life‐cycle seismic fragility of the bridge with high efficiency. The bearing shows a higher damage probability than the pylon and pier. As the service time increases, the structural deterioration has a marginal impact on the system fragility of the bridge, while the component fragility varies across different components. The structural deterioration results in beneficial effects on the pylon and the bearing at the pylon but exerts adverse effects on the pier and the bearing at the pier.

show abstract

Pitting corrosion and structural reliability of corroding RC structures: Experimental data and probabilistic analysis

Cited by 250 publications

References 24 publications

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading

Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges

Life‐cycle seismic fragility of a cable‐stayed bridge considering chloride‐induced corrosion

Contact Info

Product

Resources

About