Elucidation of cement hydration mechanisms by time-lapse X-ray computed micro-tomography and direct validation of a continuous hydration model

被引:0
|
作者
Guo, Fuqiang [1 ]
Withers, Philip J. [2 ]
Yang, Zhenjun [1 ]
An, Fengchen [3 ]
机构
[1] Wuhan Univ, Sch Civil Engn, Hubei Prov Key Lab Geotech & Struct Safety, Wuhan 430000, Peoples R China
[2] Univ Manchester, Henry Royce Inst, Dept Mat, Manchester M13 9PL, England
[3] China Univ Petr, Sch Safety & Ocean Engn, Beijing 102249, Peoples R China
来源
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Cement paste; X-ray computed tomography; Low carbon cement; Microstructure; Hydration simulation; PORTLAND-CEMENT; INDUCTION PERIOD; PARTICLE-SHAPE; MICROSTRUCTURE; SIMULATION; CHEMISTRY; PRODUCTS; SILICATE; FRACTURE; GROWTH;
D O I
10.1016/j.jobe.2025.111951
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The hydration process and the associated microstructural evolution of cement paste are complicated and need accurate numerical models to elucidate their complex mechanisms. Most existing models rely on idealised initial microstructures and thus have not been directly and faithfully validated by experiments. Here, time-lapse X-ray computed micro-tomography (mu XCT) was first used to follow the hydration process from 1 to 28 days in two Portland cement paste specimens with water-to-cement ratios of 0.4 and 0.6, respectively. The evolution of microstructure, porosity and hydration degree was tracked at 2.7 mu m voxel resolution and statistically analyzed for each specimen by processing 7 successive 3D mu XCT scans. For each specimen, the day 1 mu XCT image was then segmented and used as the initial image-based microstructure for our recently developed continuous hydration model to simulate the hydration process. The simulated evolution of microstructure, porosity and hydration degree was found in good agreement with the time-lapse mu XCT data. This study represents the first-time direct experimental validation of a hydration model for cement paste, and demonstrates the powerful synergy between mu XCT tests and image-based modelling in elucidating the full hydration process.
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收藏
页数:20
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