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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2023, Vol. 57 Issue (2): 367-379    DOI: 10.3785/j.issn.1008-973X.2023.02.016
    
Permeability analysis of glazed hollow beads insulation concrete based on thermal crack evolution
Ming-hou LI1(),Nina SELYUTINA2,Ivan SMIRNOV2,Xiang ZHANG1,Bei-bei LI1,Yuan-zhen LIU1,Yu ZHANG1,*()
1. College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2. Saint Petersburg State University, St. Petersburg 199034, Russia
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Abstract  

The high thermal stability of glazed hollow bead (GHB) was used to improve the high temperature resistance of concrete, in order to improve the durability degradation of concrete structures after fire. The anti-chloride ion penetration of glazed hollow beads insulation concrete (GIC) exposed to high temperature was tested through the electric flux method. Meanwhile, combined with the thermal crack evolution characteristics, the deterioration law of its resistance to chloride ion corrosion was analyzed. Results showed that the application of GHB significantly improved the degradation of the chloride ion penetration resistance of concrete after high temperature exposure. Compared with normal concrete (NC) and silica fume concrete (SFC) of the same strength grade, the electric flux of concrete with GHB after high temperature exposure was reduced by about 54.15% and 32.69%, respectively. Combined with the thermal cracks evolution characteristic of concrete, it was believed that this was attributed to the strengthening effect of GHB and silica fume on the compactness of concrete, and the positive contribution of GHB to thermal damage resistance of concrete. On this basis, the influences of thermal crack evolution, GHB and silica fume, were further considered, and a prediction model of chloride ion permeability in high temperature environment was finally established.

Key words： glazed hollow bead      concrete      chloride ion corrosion      thermal crack      predictive model     
Received: 01 June 2022      Published: 28 February 2023
CLC:  TB 332  
  TU 528  
Fund:  国家自然科学基金国际合作与交流项目（52111530039）；Russian Foundation for Basic Research (21-51-53008)；住房和城乡建设部科技计划资助项目（2021-K-046）；山西省研究生教育创新资助项目（2021Y234）
Corresponding Authors: Yu ZHANG     E-mail: liminghou0648@link.tyut.edu.cn;zhangyu03@tyut.edu.cn
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Ming-hou LI
Nina SELYUTINA
Ivan SMIRNOV
Xiang ZHANG
Bei-bei LI
Yuan-zhen LIU
Yu ZHANG
Cite this article:

Ming-hou LI,Nina SELYUTINA,Ivan SMIRNOV,Xiang ZHANG,Bei-bei LI,Yuan-zhen LIU,Yu ZHANG. Permeability analysis of glazed hollow beads insulation concrete based on thermal crack evolution. Journal of ZheJiang University (Engineering Science), 2023, 57(2): 367-379.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2023.02.016     OR     https://www.zjujournals.com/eng/Y2023/V57/I2/367


基于热裂纹演化的玻化微珠保温混凝土渗透性能分析

为了改善火灾后混凝土结构耐久性退化问题，利用玻化微珠（GHB）的高热稳定性对混凝土耐高温性能进行提升，通过电通量法对高温后玻化微珠保温混凝土（GIC）的抗氯离子侵蚀性能进行测试，并结合混凝土试件热裂纹演化特征对其抗氯离子侵蚀性能劣化规律进行分析. 结果表明：GHB的掺加显著改善了高温后混凝土抗氯离子渗透能力退化问题，与同强度等级的普通混凝土（NC）和硅灰混凝土（SFC）相比，掺加GHB后混凝土的电通量分别降低了约54.15%、32.69%. 结合各试件热裂纹演化规律，认为这归因于GHB和硅灰对混凝土密实性的提高，以及GHB对混凝土抗高温损伤造成的积极影响. 在此基础上，通过考虑热裂纹演化特征、GHB和硅灰的影响，建立了高温环境氯离子渗透性预测模型.


关键词： 玻化微珠,  混凝土,  氯离子侵蚀,  热裂纹,  预测模型 
胶凝材料 $ \rho $/(g·cm?3) $ {a_{\text{s}}} $/(m2·kg?1) $ {H_{7{\text{d}}}} $/% $ {R_{\text{c}}} $/MPa
水泥 3.09 318 ? 48.3
硅灰 2.35 15400 112 ?
Tab.1 Basic properties of cementitious materials
骨料 $ {\rho _{\text{L}}} $/(g·cm?3) $ {\delta _{\text{j}}} $/% ${w_{\text{c} } }$/% $ {\delta _{\text{a}}} $/% ${w _{ {\text{wa,24h} } } }$/% ${w _{ {\text{cl} } } }$/%
砂 1.48 6.2 0.65 18 3.70 0.016
碎石 1.45 4.7 0.47 8.9 1.10 ?
Tab.2 Properties of aggregates
Fig.1 Morphology of glazed hollow beads
材料 $ {\rho _{\text{L}}} $/
(kg·m?3) 		p/
kPa 		$ \lambda $/
(W·m?1·K?1) 		${w _{ {\text{wa,24h} } } }$/
% 		${w _{\text{1} } }$/
% 		${w_{\text{2} } }$/
%
GHB 130 209 0.0412 207 92 96
Tab.3 Material properties of glazed hollow beads
混凝土
编号 		$ {m_{\text{g}}} $/
kg 		$ {m_{\text{s}}} $/
kg 		$ {m_{\text{c}}} $/
kg 		$ {m_{{\text{GHB}}}} $/
kg 		${w _{ {\text{SF} } } }$/
% 		${w _{\text{a} } }$/
% 		$ w/c $ $ {f_{{\text{cu,28d}}}} $/
MPa 		评级
等级
GIC 1033 580 458 132 6.9 2.50 0.40 55.78 C55
SFC 1070 730 447 0 6.9 0.26 0.36 58.03 C55
NC 1202 515 488 0 0 0.10 0.36 56.94 C55
Tab.4 Mixture proportions of concretes
Fig.2 Electric flux test device
Fig.3 Calculation of chloride ion penetration depth
Fig.4 Mass loss rate of specimens after high temperature
Fig.5 High temperature damage phenomenon
Fig.6 Penetration depth of chloride ion in concrete after high temperature
Fig.7 Effect of temperature on concrete electric flux
θ/℃ GIC SFC NC
$ Q $/C 渗透
等级 		$ Q $/C 渗透
等级 		$ Q $/C 渗透
等级
20 97 可忽略 224 非常低 600 非常低
100 104 非常低 346 非常低 1867 低
200 1221 低 2148 中等 3506 中等
300 2773 中等 3078 中等 4372 高
400 3579 中等 3957 中等 4843 高
≥500 4103 高 4410 高 5055 高
Tab.5 Specimen penetration grade classification
$ \theta $/℃ $ D $/(10?11 m2·s）
${w _{ {\text{PF} } } }$=0 ${w _{ {\text{PF} } } }$=0.6 ${w _{ {\text{PF} } } }$=1.2 ${w _{ {\text{PF} } } }$=1.8
400 2.35 2.41 2.38 3.65
600 7.30 7.33 7.31 7.38
Tab.6 Chloride diffusion coefficient of polypropylene fiber concrete after high temperature exposure [25]
Fig.8 Compressive strength of aerated concrete and normal concrete at different temperatures [13]
Fig.9 Extraction method of thermally induced cracks on concrete specimens
Fig.10 Thermal induced crack evolution of concrete specimens
Fig.11 Variation characteristics of specific crack length and crack fraction with temperature
Fig.12 Relationship between specific crack length, crack fraction and temperature
Fig.13 Correlation characteristics between high temperature deterioration coefficient and permeability
Fig.14 Deterioration mechanism of concrete permeability after high temperature exposure
Fig.15 Variation characteristics of GHB and SF influencing factors with temperature
Fig.16 Pore size distribution curves of samples after exposure to high temperature
$ \theta $/℃ NC SFC GIC
${Q_{\rm{e}}}$/C $ {Q_{\text{p}}} $/C ${\varDelta }$/% ${Q_{\rm{e}}}$/C $ {Q_{\text{p}}} $/C ${\varDelta }$/% ${Q_{\rm{e}}}$/C $ {Q_{\text{p}}} $/C ${\varDelta}$/%
20 600 1092 82.18 224 285 26.81 97 105 7.28
100 1867 1092 41.49 346 393 13.52 104 144 38.89
200 3506 3425 2.31 2148 1812 15.62 1221 1029 15.68
300 4372 4487 2.62 3078 3220 4.61 2773 2905 4.75
400 4843 4903 1.24 3957 4069 2.82 3579 3729 4.19
500 5055 5034 0.42 4410 4337 1.66 4103 3978 3.05
Tab.7 Comparison between calculated value and predicted value of electric flux
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