Defect detection method of underwater bored cast-in-place pile based on optical image in borehole
文献类型：期刊论文
| 作者 | Wang, Jinchao1; Liu, Houcheng2,3 |
| 刊名 | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
 |
| 出版日期 | 2023-10-28 |
| 页码 | 19 |
| 关键词 | Bored pile Defect detection Digital image Underwater detection Automatic identification |
| ISSN号 | 2190-5452 |
| DOI | 10.1007/s13349-023-00724-2 |
| 英文摘要 | In order to ensure the borehole forming of underwater bored cast-in-place pile and the overall quality of pile foundation engineering, the rapid defect detection on the borehole wall of bored cast-in-place pile and its retaining wall is of great significance. Aiming at the problem of image acquisition and defect detection of underwater complex environment in bored pile, based on the optical image acquisition technology of underwater bored pile borehole wall, this study puts forward a defect detection method suitable for underwater bored pile borehole wall. Firstly, using the principle of underwater optical imaging, an optical image acquisition equipment suitable for the borehole wall of underwater bored cast-in-place pile is developed. Combined with the working principle of the equipment and the optical image characteristics of the defect area, the borehole wall optical image correction method is constructed, which weakens the influence of close distance and inner curvature of the borehole wall on the optical imaging. Then, by constructing the underwater optical imaging model of borehole wall defects, an underwater optical image enhancement function considering the intensity of light source and the difference in optical propagation at different wavelengths is proposed. Combined with gradient operator and maximum interclass variance method, an effective identification method for borehole wall defect area of underwater bored cast-in-place pile is formed by sharpening the edge of borehole wall defect area. Finally, three characteristic parameter pointers, target frame ratio, area and aspect ratio, and special shape, are proposed to form the search and detection method of borehole wall target defect area, which can realize the accurate defect detection of borehole wall binary image. Combined with the comparative analysis of borehole wall image processing and quantitative evaluation and analysis of borehole wall defects, it is proved that this method has accurate and efficient detection ability, which can realize the intelligent detection of optical image of borehole wall defects in the underwater bored cast-in-place pile, improve the accuracy of artificial intelligence measurement of borehole wall defect area of bored cast-in-place pile, and provide more data support for the detection and maintenance of borehole wall defects of underwater bored cast-in-place pile. |
| 资助项目 | This research was supported by the National Natural Science Foundation for the Youth of China (Grant No. 41902294) and the Open Projects Foundation of State Key Laboratory for Health and Safety of Bridge Structures (No. BHSKL-20-05-GF).[41902294] ; National Natural Science Foundation for the Youth of China[BHSKL-20-05-GF] ; Open Projects Foundation of State Key Laboratory for Health and Safety of Bridge Structures |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001095041800002 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39844]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Wang, Jinchao |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Wuhan Zhongke Kechuang Engn Testing Co Ltd, Wuhan 430071, Peoples R China 3.Chinese Acad Sci, Inst Rock & Soil Mech, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jinchao,Liu, Houcheng. Defect detection method of underwater bored cast-in-place pile based on optical image in borehole[J]. JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING,2023:19. |
| APA | Wang, Jinchao,&Liu, Houcheng.(2023).Defect detection method of underwater bored cast-in-place pile based on optical image in borehole.JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING,19. |
| MLA | Wang, Jinchao,et al."Defect detection method of underwater bored cast-in-place pile based on optical image in borehole".JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2023):19. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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