Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters
The transient electromagnetic inversion of detection signals mainly depends on fast inversion in the half-space state. However, the interpretation results have a certain degree of uncertainty and blindness, so the accuracy and applicability of the three-dimensional full-space inversion need to be in...
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AIMS Press
2023-01-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023051?viewType=HTML |
| _version_ | 1811231843013361664 |
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| author | Yikang Xu Zhaohua Sun Wei Gu Wangping Qian Qiangru Shen Jian Gong |
| author_facet | Yikang Xu Zhaohua Sun Wei Gu Wangping Qian Qiangru Shen Jian Gong |
| author_sort | Yikang Xu |
| collection | DOAJ |
| description | The transient electromagnetic inversion of detection signals mainly depends on fast inversion in the half-space state. However, the interpretation results have a certain degree of uncertainty and blindness, so the accuracy and applicability of the three-dimensional full-space inversion need to be investigated. Two different three-dimensional full-space inversions were carried out. First, the numerical characteristic parameters of the response signals were extracted. Then, the correlations between the numerical characteristic parameters and physical parameters of the water-bearing abnormal bodies were judged, and the judgment criterion of the iterative direction was proposed. Finally, the inversion methods of the iterative algorithm and the BP neural network were utilized based on the virtual example samples. The results illustrate that the proposed numerical characteristic parameters can accurately reflect the response curve of the full-space surrounding rock. The difference in the numerical characteristic parameters was used to determine the update direction and correction value. Both inversion methods have their advantages and disadvantages. A single inversion method cannot realize the three-dimensional inversion of the physical parameters of water-bearing abnormal bodies quickly, effectively and intelligently. Therefore, the benefits of different inversion methods need to be considered to comprehensively select a reasonable inversion method. The results can provide essential ideas for the subsequent interpretation of the three-dimensional spatial response signals of water-bearing abnormal bodies. |
| first_indexed | 2024-04-12T10:53:06Z |
| format | Article |
| id | doaj.art-30e55b2b9fd043b084ad237bfdf02d02 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-12T10:53:06Z |
| publishDate | 2023-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-30e55b2b9fd043b084ad237bfdf02d022022-12-22T03:36:10ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012011106112110.3934/mbe.2023051Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parametersYikang Xu0Zhaohua Sun1Wei Gu2Wangping Qian3Qiangru Shen 4Jian Gong51. School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China1. School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China 2. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning 530004, China3. Rudong Jinheng City Investment Group Co., Ltd., Nantong 226400, China1. School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China1. School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China2. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning 530004, China4. Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning 530004, ChinaThe transient electromagnetic inversion of detection signals mainly depends on fast inversion in the half-space state. However, the interpretation results have a certain degree of uncertainty and blindness, so the accuracy and applicability of the three-dimensional full-space inversion need to be investigated. Two different three-dimensional full-space inversions were carried out. First, the numerical characteristic parameters of the response signals were extracted. Then, the correlations between the numerical characteristic parameters and physical parameters of the water-bearing abnormal bodies were judged, and the judgment criterion of the iterative direction was proposed. Finally, the inversion methods of the iterative algorithm and the BP neural network were utilized based on the virtual example samples. The results illustrate that the proposed numerical characteristic parameters can accurately reflect the response curve of the full-space surrounding rock. The difference in the numerical characteristic parameters was used to determine the update direction and correction value. Both inversion methods have their advantages and disadvantages. A single inversion method cannot realize the three-dimensional inversion of the physical parameters of water-bearing abnormal bodies quickly, effectively and intelligently. Therefore, the benefits of different inversion methods need to be considered to comprehensively select a reasonable inversion method. The results can provide essential ideas for the subsequent interpretation of the three-dimensional spatial response signals of water-bearing abnormal bodies.https://www.aimspress.com/article/doi/10.3934/mbe.2023051?viewType=HTMLwater-bearing abnormal bodiestransient electromagnetic methodresponse signalsthree-dimensional inversioniterative algorithmneural network |
| spellingShingle | Yikang Xu Zhaohua Sun Wei Gu Wangping Qian Qiangru Shen Jian Gong Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters Mathematical Biosciences and Engineering water-bearing abnormal bodies transient electromagnetic method response signals three-dimensional inversion iterative algorithm neural network |
| title | Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| title_full | Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| title_fullStr | Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| title_full_unstemmed | Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| title_short | Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| title_sort | three dimensional inversion analysis of transient electromagnetic response signals of water bearing abnormal bodies in tunnels based on numerical characteristic parameters |
| topic | water-bearing abnormal bodies transient electromagnetic method response signals three-dimensional inversion iterative algorithm neural network |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023051?viewType=HTML |
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