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Visualization and quantification of pore structure in cement tailings waste rock composites using X-ray computed tomography and deep learning

文献类型：期刊论文

作者Li, Jiajian1; Cao, Shuai1; Song, Weidong1; Sun LJ(孙立娟)2
刊名CONSTRUCTION AND BUILDING MATERIALS
出版日期2025-05-23
卷号476页码:14
关键词X-ray computed tomography Deep learning 3D reconstruction Pore structure
ISSN号0950-0618
DOI10.1016/j.conbuildmat.2025.141341
通讯作者Song, Weidong(songwd@ustb.edu.cn) ; Sun, Lijuan(sunlj@lnm.imech.ac.cn)
英文摘要The aim of this study is to examine the pore structure of cement tailings waste rock composites in relation to the particle size and content of the tailings and waste rock. The pore structure was visualised and quantified (porosity, equivalent diameter, sphericity, orientation angle) by X-ray CT scanning, deep learning segmentation techniques, and 3D reconstruction. Finally, the relationship between porosity and elastic modulus was analysed. The results show that the particle size and content of tailings and waste rock and their interactions significantly regulate the nonlinear evolution of the cement tailings waste rock composites pore structure: increasing tailings particle size decreases the porosity 3D, induces local aggregation of pores and degrades the pore morphology. The high content (50 wt%) and large particle size (5-7 mm) of the waste rock resulted in an increase in the volume percentage of large and extra-large pores. The increase in waste rock content and particle size leads to an increase in pore aggregation in the cement coarse tailings waste rock composites, as well as a migration of the pore orientation theta angle to higher angles. The addition of 30 wt% waste rock led to a notable reduction in the porosity 3D of the cement fine tailings waste rock composites. The above changes stem from the synergistic effects of tailings-waste rock properties on slurry rheology, bleeding rate, and particle arrangement. This ultimately leads to a significant negative correlation between porosity 3D and elastic modulus. It is shown that the pore structure is a key factor in regulating the mechanical response of the material.
分类号一类
资助项目China's Na-tional Key Research and Development Program[2022YFC2905004] ; China's National Key Research and Devel-opment Program of China[2022YFC2905003]
WOS研究方向Construction & Building Technology ; Engineering ; Materials Science
语种英语
WOS记录号WOS:001472977700001
资助机构China's Na-tional Key Research and Development Program ; China's National Key Research and Devel-opment Program of China
其他责任者Song, Weidong，孙立娟
源URL[http://dspace.imech.ac.cn/handle/311007/101148]  
专题力学研究所_非线性力学国家重点实验室
作者单位1.Univ Sci & Technol Beijing, Sch Resources & Safety Engn, Beijing 100083, Peoples R China;
2.Chinese Acad Sci, State Key Lab Nonlinear Mech, Inst Mech, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jiajian,Cao, Shuai,Song, Weidong,et al. Visualization and quantification of pore structure in cement tailings waste rock composites using X-ray computed tomography and deep learning[J]. CONSTRUCTION AND BUILDING MATERIALS,2025,476:14.
APA Li, Jiajian,Cao, Shuai,Song, Weidong,&孙立娟.(2025).Visualization and quantification of pore structure in cement tailings waste rock composites using X-ray computed tomography and deep learning.CONSTRUCTION AND BUILDING MATERIALS,476,14.
MLA Li, Jiajian,et al."Visualization and quantification of pore structure in cement tailings waste rock composites using X-ray computed tomography and deep learning".CONSTRUCTION AND BUILDING MATERIALS 476(2025):14.

入库方式： OAI收割

来源：力学研究所

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