王飞跃

教授 博士生导师 硕士生导师

入职时间:2005-08-29

所在单位:土木工程学院

学历:博士研究生毕业

办公地点:中南大学铁道校区土木工程学院防灾科学与安全技术研究所/消防工程系一楼办公室

性别:男

联系方式:wfycsu@csu.edu.cn

学位:博士学位

在职信息:在职

毕业院校:中南大学

学科:安全科学与工程
土木工程

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Anomalous Areas Detection in Rocks Using Time-Difference Adjoint Tomography

发布时间:2022-04-01

点击次数:

影响因子:2.592

DOI码:10.3390/math10071069

发表刊物:MATHEMATICS

关键字:detection of anomalous areastime-difference tomographyadjoint state methodeikonal equationsubsurface engineering

摘要:Detecting anomalous areas (such as caves, faults, and weathered layers) in rocks is essential for the safety of facilities and personnel in subsurface engineering. Seismic tomography has been proved to be an effective exploration technology in engineering geophysics. However, the complexity, anisotropy, and uncertainty in rock environments pose challenges to the resolution and robustness of tomography methods. Traditional tomography methods have difficulty balancing reliability and efficiency. Therefore, we developed a time-difference adjoint tomography method combining the arrival-time difference and the adjoint state method. The effectiveness was verified by numerical experiments and a laboratory-scale acoustic experiment. The effectiveness of the proposed method was demonstrated by the experimental results. The adjoint scheme avoids additional ray tracing and improves the efficiency of the inversion, which allows the use of finer forward grids in practice. By considering the differential arrivals of receiver pairs, the proposed method is robust in the face of systematic errors and relatively stable against large random noises. Moreover, the velocity contrast obtained by the proposed method is sharper than for first-arrival tomography in the areas where the rays are not dense, resulting in a clearer indication of the anomalous areas in the tomographic image.

第一作者:Feiyue Wang, Xin Xie, Zhongwei Pei, Longjun Dong*

论文类型:期刊论文

卷号:10

期号:7

页面范围:1069

ISSN号:2227-7390

是否译文:

发表时间:2022-04-01

收录刊物:SCI

发布期刊链接:https://www.mdpi.com/2227-7390/10/7/1069/htm

附件:

  • 2022.04Anomalous Areas Detection in Rocks Using Time-Difference Adjoint Tomography.pdf

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