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Author:

Tang, Guanbao (Tang, Guanbao.) | Yao, Yan (Yao, Yan.) (Scholars:姚燕) | Wang, Ling (Wang, Ling.) | Cao, Yin (Cao, Yin.) | Cui, Suping (Cui, Suping.) (Scholars:崔素萍)

Indexed by:

EI CSCD

Abstract:

The gas permeability coefficient and CO2 diffusion coefficient of concrete under load were investigated and the relationship between the aforementioned two parameters was established. Further, on the basis of the carbonation model based on Fick's first law of diffusion, a new prediction model of concrete carbonation depth using the gas permeability coefficient as the characteristic parameter was proposed and verified, and it was named CDep-GPL. The results show good consistency between the calculated values and the tested ones. The CDep-GPL model can be used to predict the carbonation depth of concrete under load. © 2020, Editorial Department of Journal of Building Materials. All right reserved.

Keyword:

Forecasting Concretes Carbonation Gas permeability Predictive analytics

Author Community:

  • [ 1 ] [Tang, Guanbao]College of Materials Science and Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Tang, Guanbao]State Key Laboratory of Green Building Materials, China Building Materials Academy, Beijing; 100024, China
  • [ 3 ] [Yao, Yan]State Key Laboratory of Green Building Materials, China Building Materials Academy, Beijing; 100024, China
  • [ 4 ] [Wang, Ling]State Key Laboratory of Green Building Materials, China Building Materials Academy, Beijing; 100024, China
  • [ 5 ] [Cao, Yin]State Key Laboratory of Green Building Materials, China Building Materials Academy, Beijing; 100024, China
  • [ 6 ] [Cui, Suping]College of Materials Science and Engineering, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 姚燕

    [yao, yan]state key laboratory of green building materials, china building materials academy, beijing; 100024, china

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Source :

Journal of Building Materials

ISSN: 1007-9629

Year: 2020

Issue: 2

Volume: 23

Page: 304-308

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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