Reliability Assessment of a Bridge Structure Subjected to Chloride Attack

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskning

Abstract

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.
Luk

Detaljer

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.
OriginalsprogEngelsk
TitelStructural Engineering International
Antal sider6
Publikationsdato2018
StatusAfsendt - 2018
PublikationsartForskning
Peer reviewNej

    Forskningsområder

  • Chloride ingress, Bridge test data, System reliability, Enhanced Monte Carlo Method
ID: 274547327