UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples
文献类型：期刊论文
| 作者 | Luo, Yujie1,2; Hu, Dawei1,2; Yang, Fujian1,2; Zhou, Hui1,2 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 63页码:17 |
| 关键词 | Testing Rocks Acoustics Transducers Accuracy Oscilloscopes Ultrasonic transducers Ultrasonic variables measurement Signal generators Plugs Deep learning first-arrival picking small-sized rock samples ultrasonic pulse velocity (UPV) |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2025.3533741 |
| 英文摘要 | Ultrasonic pulse velocity (UPV) testing is widely employed as a nondestructive technique in rock engineering to determine the essential physical properties of rocks. This study introduces UPVnet, an innovative deep learning-based neural network specifically developed to enhance the accuracy and reliability of first-arrival picking in UPV testing. By advancing multidimensional feature extraction methods and optimizing the network architecture, UPVnet achieves significantly higher picking accuracy and enhanced generalization capability compared to traditional methods. Additionally, the study validates the feasibility of UPV testing on small-sized rock samples, demonstrating that P-wave and S-wave velocities measured on 20-mm-thick samples exhibit good consistency with those from standard plug samples, despite challenges such as size effects and velocity dispersion. |
| 资助项目 | National Key Research and Development Program of China[2022YFE0137200] ; National Natural Science Foundation of China[52309147] ; National Natural Science Foundation of China[52179114] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001422039800011 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/37086]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Hu, Dawei |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Yujie,Hu, Dawei,Yang, Fujian,et al. UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:17. |
| APA | Luo, Yujie,Hu, Dawei,Yang, Fujian,&Zhou, Hui.(2025).UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,17. |
| MLA | Luo, Yujie,et al."UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):17. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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