中国电建集团华东勘测设计研究院有限公司,浙江,杭州,311122
网络出版:2026-01-30,
纸质出版:2025
移动端阅览
曹园章, 谢国帅, 黄亚康, 王深圳. 长役期大坝混凝土芯样性能及孔结构研究[J]. 大坝与安全, 2025, 0(4): 43-47,78.
曹园章, 谢国帅, 黄亚康, et al. Study on performance and pore structure of concrete core in aged dams[J]. 2025, 0(4): 43-47.
选取某服役60 多年水电站4 个典型位置的混凝土芯样,依据规范测试混凝土芯样的抗压强度、抗渗性及抗冻性,采用X 射线衍射仪(XRD)、扫描电子显微镜(SEM)及低场核磁对混凝土芯样的水化产物、微观结构、孔隙率及孔径分布进行测试,并根据孔隙率以及孔径分布探究其与强度之间的关系。结果表明,混凝土芯样内部碳化现象较为明显,但是基体完整,骨料与硬化浆体之间粘结良好。低场核磁结果表明混凝土芯样的孔隙率在4.56%~8.40%,孔径基本分布在 1~200 nm 。芯样的孔隙率越低,抗压强度越高,抗渗等级越高,但孔隙率与抗冻等级的相关性较差。相较于总孔隙率,20~ 100 nm 孔的比例与混凝土芯样的强度相关性更好,相关系数可达到0.954。
The concrete core samples from four typical locations of a hydropower station that has been in service for sixty years were selected to carry out the study. The compressive strength
impermeability and frost resistance of the concrete core samples were tested according to the specifications. The hydra - tion products
microstructure
porosity and pore size distribution of the concrete core samples were test - ed by the X-ray diffractometer (XRD)
scanning electron microscope (SEM) and low-field nuclear magnetic resonance. Moreover
based on the porosity and pore size distribution
the relationship between them and strength was explored. The results showed that the internal carbonization of the concrete core sam- ples was obvious
but the matrix was intact
and the bonding between the aggregates and the hardened paste was good. The results of low-field nuclear magnetic resonance indicated that the porosity of the concrete core sample was between 4.56%~8.40%
and the pore size was basically distributed between 1~ 200 nm. The lower the porosity of the core sample meant the higher the compressive strength and the higher the anti-permeability level. However
the correlation between porosity and frost resistance grade was poor. Compared with the porosity
the proportion of pores between 20~ 100 nm had a better correla- tion with the strength of the concrete core sample
and the correlation coefficient reached 0.954.
Chen X,Wu S,Zhou J.Influence of porosity on compressive and tensile strength of cement mortar[J].Construction and Building Materials,2013,40:869-874.
Li D,Li Z,Lyu C,et al.A predictive model of the effective tensile and compressive strengths of concrete considering po- rosity and pore size[J].Construction and Building Materials, 2018,170:520-526.
Han X,Feng J,Wang B.Relationship between fractal feature and compressive strength of fly ash-cement composite ce - mentitious materials[J].Cement and Concrete Composites, 2023,139:105052.
高志涵, 陈波, 陈家林,等. 基于 X-CT 的泡沫混凝土孔隙结构与导热性能[J].建筑材料学报,2023,26(7):723-730.
董昊良,李化建,杨志强,等 . 混凝土冻融破坏机理及寿命预测方法[J].材料导报,2024,38(2):143-153.
Wang B,Guo J,Liu J,et al.Prediction method of permeability of textile- reinforced concrete based on fractal dimension theory[J].Construction and Building Materials,2022,327: 126868.
Lyu Q,Qiu Q,Zheng J,et al.Fractal dimension of concrete in- corporating silica fume and its correlations to pore struc - ture, strength and permeability[J].Construction and Build- ing Materials,2019,228:116986.
钱鹏 . 混凝土的微观裂纹结构与宏观渗透性能研究[D].北京:清华大学 .
Wang R,Zhang Q,Li Y.Deterioration of concrete under the coupling effects of freeze-thaw cycles and other actions: A review[J].Construction and Building Materials,2022,319: 126045.
谢恩慧,周春圣 . 利用低场磁共振弛豫测孔技术预测水泥基材料的水分渗透率[J].硅酸盐学报,2020,48(11): 1808-1816.
李文郁,尹健昊,王健,等 . 低场核磁共振技术在水泥基材料中的理论模型及应用[J].硅酸盐学报,2022,50(11): 2992-3008.
李文伟, 陈文耀,刘文彦,等 . 混凝土芯样抗冻性试验研究[C]. 中国土木工程学会 2006 混凝土工程耐久性研究和应用研讨会论文集,2006:183-187.
杨亚会 . 大气环境下基于碳化程度的混凝土结构耐久性研究[D].宜昌:三峡大学,2022.
Wu Z.Discussion on recent development direction of con - crete science and technology[J].Journal of the Chinese Ceramic Society,1979,3:262-270.
Mehta P K,Monteiro P J M.Concrete: microstructure, prop - erties, and materials[M].Prentice-Hall,2013.
杨帅,毛海涛,刘畅,等 . 中高强混凝土抗压强度与气孔分布特征关系模型研究[J].长江科学院院报,2024,41 (4):194-202.
沈奇真 . 碳化与荷载耦合作用下水泥基材料微结构演变与预测模型[D].南京:东南大学,2018.
Von Greve- Dierfeld S,Lothenbach B,Vollpracht A,et al. Understanding the carbonation of concrete with supple - mentary cementitious materials: a critical review by RILEM TC 281-CCC[J].Materials and Structures,2020,53(6):136.
0
浏览量
11
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621