About: Probabilistic Corrosion Initiation Model with High-Performance Concrete Diffusion Coefficients and Corrosion-Resistant Steel     Goto   Sponge   NotDistinct   Permalink

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  • A finite element based probabilistic reinforced concrete bridge deck corrosion initiation model is established that includes the uncertainties in the physical models of chloride penetration into concrete. The model is focused on uncertainties in the governing parameters that include concrete diffusivity, concrete cover depth, surface chloride concentration, holidays in reinforcements, coatings and critical chloride threshold level for onset of corrosion in steel reinforcement with excessive cracks. The objective of this research is based on the formulation of probabilistic corrosion initiation model with the inclusion of distribution of High Performance Concrete (HPC) diffusion coefficients along with control mixtures computed from four different approaches and to investigate the performance of several corrosion resistant steel reinforcements. The distribution of the other governing parameters is generated from either detailed field survey or laboratory experimental investigation. This study shows the variability and sensitivity of estimation of the time to onset of corrosion using the Monte Carlo technique. Results from this probabilistic analysis estimates the corrosion free service life for the design of concrete structures in harsh chloride environments with respect to methods for diffusion coefficients computation.
  • A finite element based probabilistic reinforced concrete bridge deck corrosion initiation model is established that includes the uncertainties in the physical models of chloride penetration into concrete. The model is focused on uncertainties in the governing parameters that include concrete diffusivity, concrete cover depth, surface chloride concentration, holidays in reinforcements, coatings and critical chloride threshold level for onset of corrosion in steel reinforcement with excessive cracks. The objective of this research is based on the formulation of probabilistic corrosion initiation model with the inclusion of distribution of High Performance Concrete (HPC) diffusion coefficients along with control mixtures computed from four different approaches and to investigate the performance of several corrosion resistant steel reinforcements. The distribution of the other governing parameters is generated from either detailed field survey or laboratory experimental investigation. This study shows the variability and sensitivity of estimation of the time to onset of corrosion using the Monte Carlo technique. Results from this probabilistic analysis estimates the corrosion free service life for the design of concrete structures in harsh chloride environments with respect to methods for diffusion coefficients computation. (en)
Title
  • Probabilistic Corrosion Initiation Model with High-Performance Concrete Diffusion Coefficients and Corrosion-Resistant Steel
  • Probabilistic Corrosion Initiation Model with High-Performance Concrete Diffusion Coefficients and Corrosion-Resistant Steel (en)
skos:prefLabel
  • Probabilistic Corrosion Initiation Model with High-Performance Concrete Diffusion Coefficients and Corrosion-Resistant Steel
  • Probabilistic Corrosion Initiation Model with High-Performance Concrete Diffusion Coefficients and Corrosion-Resistant Steel (en)
skos:notation
  • RIV/61989100:27120/11:86083933!RIV13-MSM-27120___
http://linked.open...avai/riv/aktivita
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  • P(EE2.3.20.0013)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 223816
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  • RIV/61989100:27120/11:86083933
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  • initiation.; chlorides; reinforcement; crack; corrosion; Reinforced concrete (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4D46EEF3ED78]
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http://linked.open...vavai/riv/projekt
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  • Konečný, Petr
  • Ghosh, Pratanu
  • Tikalsky, Paul
http://localhost/t...ganizacniJednotka
  • 27120
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