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Influence of Environmental Variables on Chloride Ion Distribution on Concrete Surface under Dry-Wet Cycle

 Influence of Environmental Variables on Chloride Ion Distribution on Concrete Surface under Dry-Wet Cycle
Autor(en): , ,
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 2008-2015
DOI: 10.2749/nanjing.2022.2008
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In order to study the effect of environmental variables on the chloride concentration on the concrete surface under the action of drying and wetting cycles. Firstly, the influence of environmental ...
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Bibliografische Angaben

Autor(en): (Changsha University of Science & Technology, Changsha, China)
(Changsha University of Science & Technology, Changsha, China)
(Changsha University of Science & Technology, Changsha, China)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 2008-2015 Anzahl der Seiten (im PDF): 8
Seite(n): 2008-2015
Anzahl der Seiten (im PDF): 8
DOI: 10.2749/nanjing.2022.2008
Abstrakt:

In order to study the effect of environmental variables on the chloride concentration on the concrete surface under the action of drying and wetting cycles. Firstly, the influence of environmental variables such as monthly average temperature, monthly sunshine duration, and monthly rainfall on the dry-wet time ratio in Haikou and Wenchang was analyzed, and the dry-wet cycle mechanism of the Puqian Bridge was established. Then, according to the dry-wetting cycle mechanism, the influence of multiple factors on the distribution of chloride concentration on the surface was discussed, and a model of the chloride concentration distribution on the surface of unsaturated concrete under the action of multiple factors was established. Finally, the distribution model is compared with the experimental data in the literature to verify the rationality of the distribution model.

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