Technical Papers
Jan 14, 2019

Predicting the Drying of Concrete by an Anomalous Diffusion Model

Publication: Journal of Materials in Civil Engineering
Volume 31, Issue 3

Abstract

The drying process of concrete is a complex unsteady heat and mass transfer process that is greatly affected by the drying temperature. The influence of the drying process on the drying characteristics and strength of concrete must be investigated. Concrete specimens were dried under various temperatures, namely, 60°C, 85°C, 105°C, 120°C, and 150°C, to obtain the criterion for the dry state of the concrete specimens and optimum drying control condition. An anomalous diffusion model was developed to characterize the drying phenomena of the concrete specimens. Three main results were acquired. First, the proposed model can clearly interpret experimental drying data and predict the dry state of concrete specimens. Second, drying temperature greatly affects the drying rate and dry state of the concrete specimens. Third, conducting the drying test on concrete specimens at 105°C is recommended.

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Acknowledgments

The research is supported by the National Natural Science Foundation of China (Grant Nos. 11132003 and 51739006) and the Fundamental Research Funds for the Central Universities (Grant No. 2018B622X14) and the Postgraduate Research & Practice Innovation Program of Jiangsu Province of China (Project No. KYCX18_0591).

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 31Issue 3March 2019

History

Received: Apr 6, 2018
Accepted: Aug 28, 2018
Published online: Jan 14, 2019
Published in print: Mar 1, 2019
Discussion open until: Jun 14, 2019

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Authors

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Linfei Zhang
Ph.D. Candidate, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China.
Qingwen Ren [email protected]
Professor, College of Mechanics and Materials, Hohai Univ., Nanjing 210098, China (corresponding author). Email: [email protected]
Zongli Li
Professor, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling 712100, China.
Guohui Zhang
Lecturer, Faculty of Electric Power Engineering, Kunming Univ. of Science and Technology, Kunming 650093, China.

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