Title |
Durability Analysis and Development of Probability-Based Carbonation Prediction Model in Concrete Structure |
Keywords |
Durability Analysis;Carbonation Prediction Model;Statistic Data;Probabilistic Analysis;Design Parameters;내구성 해석;탄산화예측모델;통계적인 자료;확률론적 해석;설계변수 |
Abstract |
Recently, many researchers have been carried out to estimate more controlled service life and long-term performance of carbonated concrete structures. Durability analysis and design based on probability have been induced to new concrete structures for design. This paper provides a carbonation prediction model based on the Fick"s 1st law of diffusion using statistic data of carbonated concrete structures and the probabilistic analysis of the durability performance has been carried out by using a Bayes" theorem. The influence of concerned design parameters such as CO₂ diffusion coefficient, atmospheric CO₂ concentration, absorption quantity of CO₂ and the degree of hydration was investigated. Using a monitoring data, this model which was based on probabilistic approach was predicted a carbonation depth and a remaining service life at a variety of environmental concrete structures. Form the result, the application method using a realistic carbonation prediction model can be to estimate erosion-open-time, controlled durability and to determine a making decision for suitable repair and maintenance of carbonated concrete structures. |