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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Corrosion initiation in marine concrete members considering spatial correlation of porosity: a mesoscale probabilistic analysis
https://orcid.org/http://orcid.org/0000-0003-4343-4864
The random field theory has been primarily applied to consider the porosity randomness in the mesoscopic model for cement-based materials. The scale of fluctuation (SOF) of cement-based materials' porosity is the basis of studying the spatial variability of durability performance under the framework of mesoscale modeling of reinforced concrete (RC) structures. In this paper, an approach for SOF and the associated spatial distribution estimation of porosity for cement-based materials are presented with the aid of two-dimensional (2D) image processing technique. The ordinary Kriging interpolation method is employed to determine the porosity at unsampled position. The SOF of porosity for the cement-based materials is calculated using the curve-fitting method based on image data analysis. The results indicate that the obtained SOF in this study is significantly smaller than that assumed in the previous literature. Then, probabilistic evaluation of the time to corrosion initiation was carried out for a reinforced concrete beam in a marine environment. A comparative study is presented to examine the effect of spatial correlation of porosity in cement paste on the corrosion initiation of RC members under chloride attack. The results show that using larger SOF in a random field for modeling the spatial distribution associated with porosity in the cement paste results in a higher probability of corrosion initiation, eventually leading to unconservative estimates of the probability of the rebar corrosion initiation.
Corrosion initiation in marine concrete members considering spatial correlation of porosity: a mesoscale probabilistic analysis
https://orcid.org/http://orcid.org/0000-0003-4343-4864
The random field theory has been primarily applied to consider the porosity randomness in the mesoscopic model for cement-based materials. The scale of fluctuation (SOF) of cement-based materials' porosity is the basis of studying the spatial variability of durability performance under the framework of mesoscale modeling of reinforced concrete (RC) structures. In this paper, an approach for SOF and the associated spatial distribution estimation of porosity for cement-based materials are presented with the aid of two-dimensional (2D) image processing technique. The ordinary Kriging interpolation method is employed to determine the porosity at unsampled position. The SOF of porosity for the cement-based materials is calculated using the curve-fitting method based on image data analysis. The results indicate that the obtained SOF in this study is significantly smaller than that assumed in the previous literature. Then, probabilistic evaluation of the time to corrosion initiation was carried out for a reinforced concrete beam in a marine environment. A comparative study is presented to examine the effect of spatial correlation of porosity in cement paste on the corrosion initiation of RC members under chloride attack. The results show that using larger SOF in a random field for modeling the spatial distribution associated with porosity in the cement paste results in a higher probability of corrosion initiation, eventually leading to unconservative estimates of the probability of the rebar corrosion initiation.
Corrosion initiation in marine concrete members considering spatial correlation of porosity: a mesoscale probabilistic analysis
https://orcid.org/http://orcid.org/0000-0003-4343-4864
The random field theory has been primarily applied to consider the porosity randomness in the mesoscopic model for cement-based materials. The scale of fluctuation (SOF) of cement-based materials' porosity is the basis of studying the spatial variability of durability performance under the framework of mesoscale modeling of reinforced concrete (RC) structures. In this paper, an approach for SOF and the associated spatial distribution estimation of porosity for cement-based materials are presented with the aid of two-dimensional (2D) image processing technique. The ordinary Kriging interpolation method is employed to determine the porosity at unsampled position. The SOF of porosity for the cement-based materials is calculated using the curve-fitting method based on image data analysis. The results indicate that the obtained SOF in this study is significantly smaller than that assumed in the previous literature. Then, probabilistic evaluation of the time to corrosion initiation was carried out for a reinforced concrete beam in a marine environment. A comparative study is presented to examine the effect of spatial correlation of porosity in cement paste on the corrosion initiation of RC members under chloride attack. The results show that using larger SOF in a random field for modeling the spatial distribution associated with porosity in the cement paste results in a higher probability of corrosion initiation, eventually leading to unconservative estimates of the probability of the rebar corrosion initiation.
Corrosion initiation in marine concrete members considering spatial correlation of porosity: a mesoscale probabilistic analysis
Mater Struct
Zhang, Mingyang (Autor:in) / Ruan, Xin (Autor:in) / Li, Yue (Autor:in)
01.09.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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