Reliability assessment of a bridge structure subjected to chloride attack

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Reliability assessment of a bridge structure subjected to chloride attack. / Leira, Bernt J.; Thöns, Sebastian; Faber, Michael H.

In: Structural Engineering International, Vol. 28, No. 3, 01.01.2018, p. 318-324.

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TY - JOUR

T1 - Reliability assessment of a bridge structure subjected to chloride attack

AU - Leira, Bernt J.

AU - Thöns, Sebastian

AU - Faber, Michael H.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Prediction of the service lifetime of concrete structures with respect to chloride ingress involves a number of parameters that are associated with large uncertainties. Hence, full-scale measurements are strongly in demand. This paper begins by summarizing statistical distributions based on measurements taken from the Gimsøystraumen Bridge in Norway. A large number of chloride profiles are available based on concrete coring samples, and for each of these profiles the diffusion coefficient and surface concentration (due to sea spray) are estimated. Extensive measurements of the concrete cover depth are also performed. The probability distributions are input into a prediction model for chloride concentration at the steel reinforcement. By also introducing the critical chloride concentration as a random variable, the probability of exceeding the critical threshold is determined as a function of time. To address chloride attack on the entire bridge, a system model with 90 components is introduced. Reliability updating based on observations at multiple sites along the bridge is also investigated. First-order reliability methods typically become inaccurate for large systems of this type, so an enhanced Monte Carlo simulation method is applied. It is shown that the corresponding computation time is significantly reduced compared to crude Monte Carlo methods.

AB - Prediction of the service lifetime of concrete structures with respect to chloride ingress involves a number of parameters that are associated with large uncertainties. Hence, full-scale measurements are strongly in demand. This paper begins by summarizing statistical distributions based on measurements taken from the Gimsøystraumen Bridge in Norway. A large number of chloride profiles are available based on concrete coring samples, and for each of these profiles the diffusion coefficient and surface concentration (due to sea spray) are estimated. Extensive measurements of the concrete cover depth are also performed. The probability distributions are input into a prediction model for chloride concentration at the steel reinforcement. By also introducing the critical chloride concentration as a random variable, the probability of exceeding the critical threshold is determined as a function of time. To address chloride attack on the entire bridge, a system model with 90 components is introduced. Reliability updating based on observations at multiple sites along the bridge is also investigated. First-order reliability methods typically become inaccurate for large systems of this type, so an enhanced Monte Carlo simulation method is applied. It is shown that the corresponding computation time is significantly reduced compared to crude Monte Carlo methods.

KW - Bridge test data

KW - Chloride ingress

KW - Enhanced monte carlo method

KW - Service lifetime

KW - System reliability

U2 - 10.1080/10168664.2018.1458586

DO - 10.1080/10168664.2018.1458586

M3 - Article

AN - SCOPUS:85054915017

VL - 28

SP - 318

EP - 324

JO - Structural Engineering International: Journal of the International Association for Bridge and Structural Engineering (IABSE)

JF - Structural Engineering International: Journal of the International Association for Bridge and Structural Engineering (IABSE)

SN - 1683-0350

IS - 3

ER -