Predicting the Drying of Concrete by an Anomalous Diffusion Model

被引:3
|
作者
Zhang, Linfei [1 ]
Ren, Qingwen [2 ]
Li, Zongli [3 ]
Zhang, Guohui [4 ]
机构
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Mech & Mat, Nanjing 210098, Jiangsu, Peoples R China
[3] Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China
[4] Kunming Univ Sci & Technol, Fac Elect Power Engn, Kunming 650093, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Concrete; Temperature; Drying; Anomalous diffusion model; MOISTURE; TOMOGRAPHY; BEHAVIOR;
D O I
10.1061/(ASCE)MT.1943-5533.0002620
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 degrees C, 85 degrees C, 105 degrees C, 120 degrees C, and 150 degrees 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 degrees C is recommended.
引用
收藏
页数:9
相关论文
共 50 条
  • [2] Practical Model for Predicting Internal Relative Humidity of Concrete Exposed to Drying
    Fahim, Andrew
    De Carufel, Sarah
    Ghods, Pouria
    Alizadeh, Aali R.
    Salehi, Mustafa
    [J]. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2019, 31 (08)
  • [4] Predicting oxygen diffusion in concrete
    Geng, Ou
    Yuan, Ying-Shu
    Zhu, Hui
    Lu, Cai-Feng
    Zhang, Feng-Jie
    [J]. Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2010, 39 (04): : 471 - 474
  • [5] Anomalous diffusion in a symbolic model
    Ribeiro, H. V.
    Lenzi, E. K.
    Mendes, R. S.
    Santoro, P. A.
    [J]. PHYSICA SCRIPTA, 2011, 83 (04)
  • [6] Minimal model for anomalous diffusion
    Flekkoy, Eirik G.
    [J]. PHYSICAL REVIEW E, 2017, 95 (01)
  • [7] Anomalous Diffusion in a Trading Model
    Khidzir, Sidiq Mohamad
    Abdullah, Wan Ahmad Tajuddin Wan
    [J]. FRONTIERS IN PHYSICS-BOOK, 2009, 1150 : 206 - 209
  • [8] Fractal model of anomalous diffusion
    Lech Gmachowski
    [J]. European Biophysics Journal, 2015, 44 : 613 - 621
  • [9] Fractal model of anomalous diffusion
    Gmachowski, Lech
    [J]. EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2015, 44 (08): : 613 - 621
  • [10] Artificial neural network for predicting drying shrinkage of concrete
    Bal, Lyes
    Buyle-Bodin, Francois
    [J]. CONSTRUCTION AND BUILDING MATERIALS, 2013, 38 : 248 - 254