The influencing information of structural resistance cannot be exactly inspected due to limitation of the experimental means, time and space. The study must be conducted by incomplete information and the uncertainty is enhanced. The uncertainty consists of fuzziness, randomness, and faultiness of knowledge. The faultiness of knowledge is the weak uncertainty, and can be incorporated into fuzziness and randomness. A novel probabilistic analysis method of corrosion-induced resistance degradation subject to fuzziness and randomness is developed in this paper. The reinforcing bar corrosion is induced by chloride ion attack in reinforced concrete (RC) bridge. The relationship between steel area corrosion rate and yield strength is presented based on the experimental investigation on mechanical property of corroded reinforcement. The fuzzy time-variant probabilistic analysis of resistance degradation is illustrated by an example problem of RC bridge beam. The result can be used to time-variant reliability-based evaluation for reinforced concrete.
The prediction of pitting corrosion-induced structural performance degradation is limited by the inspection means and experimental data. Incomplete information and tempral and spatial uncertainties of corrosion are integrated to develop the time-dependent pit depth model. The reinforcement corrosion is divided into two stages in this model. The approach is illustrated by a removed concrete bridge. The evolutionary characteristic of probability density function of the pit depth is analyzed, and the probabilistic distribution pattern and distribution parameters are also obtained. Besides, The sensitivity of input parameters on the pitting model are also discussed. The results show that under appropriate conditions of concrete strength (>25MPa), increase the same percentage of concrete strength is more sensitive to the pit depth than improvement the same percentage of concrete cover thickness. The effects of continuous improvement of concrete strength or increase the thickness on corrosion depth gradually decreases. The proposed procedure can be used to evaluation of existing reinforced concrete bridge.
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