Statistical modelling of carbonation coefficient in concrete

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zhou, Ming^1 ; Wang, Peng^2 ; Huang, Guoli^3 ; Zhao, Jiaqi^4 ; Tu, Jinsong^1

School of Architecture and Civil Engineering, West Anhui University, Lu'an, China^1

School of Civil Engineering, Qing Hai University, Xi Ning, China^2

Guangdong Provincial Construction Design and Consulting Company Limited, Guangzhou, China^3

School of Civil Engineering and Architecture, Guangxi University, Nanning, China^4

关键词: Carbonation coefficients;    Concrete carbonation;    Coupling effect;    Current models;    Mineral admixtures;    Reference models;    Statistical modelling;    Water-to-binder ratio;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/3/032028/pdf
DOI  :  10.1088/1757-899X/490/3/032028

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Current models for the carbonation coefficient in concrete cannot comprehensively consider the impact of water-to-binder ratio, replacement of mineral admixtures, and the coupling effect of each other. To overcome this limitation, an improved model for carbonation coefficient was developed based on 96 sets of concrete carbonation test data under standard carbonization environment. Compared with the reference models, the proposed model has a higher precision.