Welcome to Visit BULLETIN OF THE CHINESE CERAMIC SOCIETY! Today is

BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2021, Vol. 40 ›› Issue (11): 3593-3600.

• Cement and Concrete • Previous Articles     Next Articles

Probability Distribution of Chloride Ion Concentration on Surface of Reinforcing Bar Based on Random Meso-Aggregate

CHEN Xuandong1,2, RONG Hua3, LIANG Miaomeng1,2, YU Aiping1,2, MING Yang1,2   

  1. 1. College of Civil and Architecture Engineering, Guilin University of Technology, Guilin 541004, China;
    2. Guangxi Key Laboratory of New Energy and Building Energy Saving, Guilin University of Technology, Guilin 541004, China;
    3. Central Research Institute of Building and Construction, Beijing 100082, China
  • Received:2021-05-14 Revised:2021-07-13 Online:2021-11-15 Published:2021-12-08

Abstract: Chloride ion erosion is one of the main factors leading to the durability failure of reinforced concrete (RC) structures. Thus, the study of the probability distribution of chloride ion concentration on the surface of reinforcing bar is of great significance to predict the service performance of marine engineering. By introducing the interface transition zone (ITZ) of random thickness, a concrete meso-model including aggregate, ITZ and mortar was established. Based on the theory of chloride ion diffusion, a meso-numerical model of chloride ion diffusion was established. The results show that the aggregate hinders the chloride ion diffusion and increases the chloride ion diffusion path. According to the statistical analysis of the chloride ion concentration on the surface of reinforcing bar surface by simulated 6 000 groups chloride ion diffusion, when the volume fraction of aggregate ratio is 40%, the chloride ion concentration on the reinforcing bar surface has a bimodal distribution and when aggregate ratio is lower than 40%, the chloride ion concentration on the reinforcing bar surface has a normal distribution. With the increase of aggregate ratio, the chloride iron concentration decreases and the coefficient of variation increases.

Key words: reinforced concrete, chloride ion erosion, numerical simulation, probability distribution, meso-concrete, interface transition zone

CLC Number: