Damage evolution characteristics of freeze-thaw rock combined with CT image and deep learning technology
文献类型：期刊论文
| 作者 | Liu, Hui4; Dai, Xinyue4; Yang, Gengshe4; Shen, Yanjun1; Pan, Pengzhi2; Xi, Jiami4; Li, Borong3; Liang, Bo4; Wei, Yao3; Huang, Huiqi4 |
| 刊名 | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
 |
| 出版日期 | 2025 |
| 卷号 | 84期号:1页码:17 |
| 关键词 | Fissure Freeze-thaw damage Deep learning Intelligent identification Cellular automaton |
| ISSN号 | 1435-9529 |
| DOI | 10.1007/s10064-024-04010-3 |
| 英文摘要 | The surrounding rock of tunnel engineering in an alpine mountainous environment is prone to frequent freeze-thaw action due to fissure water and temperature differential, which leads to crack propagation and even failure in rock. Freezing sandstone CT damage-free scanning studies were conducted. Based on deep learning theory, the U-Net network technique is utilized to naturally merge high-resolution properties of frozen rock CT images in the shrinking path with low-resolution characteristics in the expansion path. Intelligent detection of freezing rock fissures and geometric information parameters at the pixel level has been accomplished. The primary fracture structure and its parameters of the sandstone with natural damage during the freeze-thaw process are obtained, and the pixel-level intelligent identification of the meso-structure and geometric information parameters of the freeze-thaw rock fracture is realized. This justifies the classification of naturally cracked rock under load and freeze-thaw as a discrete time-dimensional evolution system. The dynamic process and mechanical characteristics of meso-damage propagation of naturally fractured rock under freeze-thaw and compression load are investigated using Casrock numerical computation software, which is based on the cellular automata theory. The results reveal that when the number of freeze-thaw cycles rises, the random rate of fracture network structure distribution increases, the uniformity of fracture distribution increases, and the dominating direction decreases. The sandstone's secondary fractures progressively increase as the fracture dominant angle rises, and the rock sample's failure mode eventually shifts from tensile failure to compression-shear mixed failure. When the comprehensive dominant angle of fracture is 60 degrees, the fracture of freeze-thaw rock is more prone to expansion and its mechanical strength deteriorates more. The fractured rock creates narrow strip directional damage along the end of the original fracture when subjected to compressive load, exhibiting typical localization features. The main crack and the secondary crack dominate the crack progression. The number of secondary fractures inside sandstone steadily grows as the fracture's comprehensive dominant angle increases. The direction of the crack penetration development is determined by the comprehensive dominating angle of the fracture. |
| 资助项目 | National Natural Science Foundation of China[42277172] ; National Natural Science Foundation of China[42177144] ; National Natural Science Foundation of China[2023KJXX-093] ; Youth Scientific and Technological Star Program[:2024SF-YBXM-626] ; Key Research and Development Program of Shaanxi Province ; Opening Fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology) |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001382940100004 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/38020]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Liu, Hui |
| 作者单位 | 1.Xian Univ Sci & Technol, Coll Geol & Environm, Xian, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, Wuhan, Hubei, Peoples R China 3.CCCC First Highway Consultants Co Ltd, Xian, Shaanxi, Peoples R China 4.Xian Univ Sci & Technol, Coll Architecture & Civil Engn, Xian, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Hui,Dai, Xinyue,Yang, Gengshe,et al. Damage evolution characteristics of freeze-thaw rock combined with CT image and deep learning technology[J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2025,84(1):17. |
| APA | Liu, Hui.,Dai, Xinyue.,Yang, Gengshe.,Shen, Yanjun.,Pan, Pengzhi.,...&Huang, Huiqi.(2025).Damage evolution characteristics of freeze-thaw rock combined with CT image and deep learning technology.BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,84(1),17. |
| MLA | Liu, Hui,et al."Damage evolution characteristics of freeze-thaw rock combined with CT image and deep learning technology".BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 84.1(2025):17. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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