Resumé

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
TidsskriftStructural Engineering International
Vol/bind28
Udgave nummer3
Sider (fra-til)318-324
ISSN1016-8664
DOI
StatusUdgivet - 2018

Emneord

  • Chloride ingress
  • Bridge test data
  • System reliability
  • Enhanced Monte Carlo Method

Citer dette

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title = "Reliability Assessment of a Bridge Structure Subjected to Chloride Attack",
abstract = "Prediction of the service lifetime of concrete structures with respect to chlorideingress involves a number of parameters that are associated with largeuncertainties. Hence, full-scale measurements are strongly in demand. Thispaper begins by summarizing statistical distributions based on measurementstaken from the Gims{\o}ystraumen Bridge in Norway. A large number ofchloride profiles are available based on concrete coring samples, and for eachof these profiles the diffusion coefficient and surface concentration (due to seaspray) are estimated. Extensive measurements of the concrete cover depth arealso performed. The probability distributions are input into a prediction modelfor chloride concentration at the steel reinforcement. By also introducing thecritical chloride concentration as a random variable, the probability ofexceeding the critical threshold is determined as a function of time. To addresschloride attack on the entire bridge, a system model with 90 components isintroduced. Reliability updating based on observations at multiple sites alongthe bridge is also investigated. First-order reliability methods typically becomeinaccurate for large systems of this type, so an enhanced Monte Carlosimulation method is applied. It is shown that the corresponding computationtime is significantly reduced compared to crude Monte Carlo methods.",
keywords = "Chloride ingress, Bridge test data, System reliability, Enhanced Monte Carlo Method, Chloride ingress, Bridge test data, System reliability, Enhanced Monte Carlo Method",
author = "Leira, {Bernt J.} and Sebastian Th{\"o}ns and Nielsen, {Michael Havbro Faber}",
year = "2018",
doi = "10.1080/10168664.2018.1458586",
language = "English",
volume = "28",
pages = "318--324",
journal = "Structural Engineering International",
issn = "1016-8664",
publisher = "Taylor & Francis",
number = "3",

}

Reliability Assessment of a Bridge Structure Subjected to Chloride Attack. / Leira, Bernt J.; Thöns, Sebastian; Nielsen, Michael Havbro Faber.

I: Structural Engineering International, Bind 28, Nr. 3, 2018, s. 318-324.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Reliability Assessment of a Bridge Structure Subjected to Chloride Attack

AU - Leira, Bernt J.

AU - Thöns, Sebastian

AU - Nielsen, Michael Havbro Faber

PY - 2018

Y1 - 2018

N2 - Prediction of the service lifetime of concrete structures with respect to chlorideingress involves a number of parameters that are associated with largeuncertainties. Hence, full-scale measurements are strongly in demand. Thispaper begins by summarizing statistical distributions based on measurementstaken from the Gimsøystraumen Bridge in Norway. A large number ofchloride profiles are available based on concrete coring samples, and for eachof these profiles the diffusion coefficient and surface concentration (due to seaspray) are estimated. Extensive measurements of the concrete cover depth arealso performed. The probability distributions are input into a prediction modelfor chloride concentration at the steel reinforcement. By also introducing thecritical chloride concentration as a random variable, the probability ofexceeding the critical threshold is determined as a function of time. To addresschloride attack on the entire bridge, a system model with 90 components isintroduced. Reliability updating based on observations at multiple sites alongthe bridge is also investigated. First-order reliability methods typically becomeinaccurate for large systems of this type, so an enhanced Monte Carlosimulation method is applied. It is shown that the corresponding computationtime is significantly reduced compared to crude Monte Carlo methods.

AB - Prediction of the service lifetime of concrete structures with respect to chlorideingress involves a number of parameters that are associated with largeuncertainties. Hence, full-scale measurements are strongly in demand. Thispaper begins by summarizing statistical distributions based on measurementstaken from the Gimsøystraumen Bridge in Norway. A large number ofchloride profiles are available based on concrete coring samples, and for eachof these profiles the diffusion coefficient and surface concentration (due to seaspray) are estimated. Extensive measurements of the concrete cover depth arealso performed. The probability distributions are input into a prediction modelfor chloride concentration at the steel reinforcement. By also introducing thecritical chloride concentration as a random variable, the probability ofexceeding the critical threshold is determined as a function of time. To addresschloride attack on the entire bridge, a system model with 90 components isintroduced. Reliability updating based on observations at multiple sites alongthe bridge is also investigated. First-order reliability methods typically becomeinaccurate for large systems of this type, so an enhanced Monte Carlosimulation method is applied. It is shown that the corresponding computationtime is significantly reduced compared to crude Monte Carlo methods.

KW - Chloride ingress

KW - Bridge test data

KW - System reliability

KW - Enhanced Monte Carlo Method

KW - Chloride ingress

KW - Bridge test data

KW - System reliability

KW - Enhanced Monte Carlo Method

U2 - 10.1080/10168664.2018.1458586

DO - 10.1080/10168664.2018.1458586

M3 - Conference article in Journal

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JO - Structural Engineering International

JF - Structural Engineering International

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