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11004 Stochastic Modeling of Service Life of Concrete Structures in Chloride-laden Environments

Picture for 11004 Stochastic Modeling of Service Life of Concrete Structures in Chloride-laden Environments
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Product Number: 51300-11004-SG
ISBN: 11004 2011 CP
Author: Yajun Liu and Xianming Shi
Publication Date: 2011
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Chloride-induced rebar corrosion is a common degradation process for concrete infrastructure, which is a practical concern especially for cold-climate states and coastal areas. In this work, numeric models based on Finite Element Method (FEM) are utilized to study service life of concrete structures subject to chloride ingress. The stochastic nature of model inputs is taken into consideration. Specifically, the surface chloride concentrations and concrete cover depth follow the normal distribution; the diffusion coefficients obey the gamma distribution; and the actual chloride threshold features the triangular distribution. The nonlinear partial differential equations (PDEs) to characterize the spatial and temporal evolution of ionic species are numerically solved, the results of which are utilized to elucidate the influence of various factors on the service life of reinforced concrete, such as mix design, surface chloride concentrations, crack level, coarse aggregate and concrete cover depth.

Keywords: finite element method, chloride diffusion, concrete service life, mix design, stochastic modeling.
Chloride-induced rebar corrosion is a common degradation process for concrete infrastructure, which is a practical concern especially for cold-climate states and coastal areas. In this work, numeric models based on Finite Element Method (FEM) are utilized to study service life of concrete structures subject to chloride ingress. The stochastic nature of model inputs is taken into consideration. Specifically, the surface chloride concentrations and concrete cover depth follow the normal distribution; the diffusion coefficients obey the gamma distribution; and the actual chloride threshold features the triangular distribution. The nonlinear partial differential equations (PDEs) to characterize the spatial and temporal evolution of ionic species are numerically solved, the results of which are utilized to elucidate the influence of various factors on the service life of reinforced concrete, such as mix design, surface chloride concentrations, crack level, coarse aggregate and concrete cover depth.

Keywords: finite element method, chloride diffusion, concrete service life, mix design, stochastic modeling.
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