Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters
In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum recognition rate. By analyzing the correlatio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/8540985 |
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| _version_ | 1832551197855186944 |
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| author | Wei Wu Jingbo Guo Jie Li Ji Sun Haoran Qi Ximing Chen |
| author_facet | Wei Wu Jingbo Guo Jie Li Ji Sun Haoran Qi Ximing Chen |
| author_sort | Wei Wu |
| collection | DOAJ |
| description | In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum recognition rate. By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm is established. Aiming at the problem that the model has a large error in complex formation recognition, a formation recognition model based on the entropy weight K-nearest neighbor algorithm is established, and the wrong data of the K-nearest neighbor model is recalculated. The recognition rate of the stratum in the new model is increased from 90.95% to 98.55%. The results show that the K-nearest neighbor model has a better recognition effect for the interval with single stratum distribution, and the recognition rate of entropy weight K-nearest neighbor model for complex stratum is significantly improved, which provides an effective method to obtain stratum information by using tunneling characteristic parameters. |
| format | Article |
| id | doaj-art-84d4653cfa8a4f3d9738ceed93b6dd27 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-84d4653cfa8a4f3d9738ceed93b6dd272025-02-03T06:04:41ZengWileyComplexity1099-05262022-01-01202210.1155/2022/8540985Research on Stratum Identification Method Based on TBM Tunneling Characteristic ParametersWei Wu0Jingbo Guo1Jie Li2Ji Sun3Haoran Qi4Ximing Chen5School of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringIn order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum recognition rate. By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm is established. Aiming at the problem that the model has a large error in complex formation recognition, a formation recognition model based on the entropy weight K-nearest neighbor algorithm is established, and the wrong data of the K-nearest neighbor model is recalculated. The recognition rate of the stratum in the new model is increased from 90.95% to 98.55%. The results show that the K-nearest neighbor model has a better recognition effect for the interval with single stratum distribution, and the recognition rate of entropy weight K-nearest neighbor model for complex stratum is significantly improved, which provides an effective method to obtain stratum information by using tunneling characteristic parameters.http://dx.doi.org/10.1155/2022/8540985 |
| spellingShingle | Wei Wu Jingbo Guo Jie Li Ji Sun Haoran Qi Ximing Chen Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters Complexity |
| title | Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters |
| title_full | Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters |
| title_fullStr | Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters |
| title_full_unstemmed | Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters |
| title_short | Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters |
| title_sort | research on stratum identification method based on tbm tunneling characteristic parameters |
| url | http://dx.doi.org/10.1155/2022/8540985 |
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