Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm
Aiming at the creep problem of Banshi Tunnel in Jilin province, the creep laws of rock are analyzed by the creep test, and the Cvsic model describing the creep characteristics of the tunnel is established. To obtain the creep parameters accurately, considering the advantages of Gauss process and dif...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/3769474 |
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| author | Fengrui Zhang Annan Jiang Xinping Guo Xiurong Yang |
| author_facet | Fengrui Zhang Annan Jiang Xinping Guo Xiurong Yang |
| author_sort | Fengrui Zhang |
| collection | DOAJ |
| description | Aiming at the creep problem of Banshi Tunnel in Jilin province, the creep laws of rock are analyzed by the creep test, and the Cvsic model describing the creep characteristics of the tunnel is established. To obtain the creep parameters accurately, considering the advantages of Gauss process and differential evolution algorithm, coupling the two methods, a Gauss process-differential evolution intelligent inversion method is proposed. According to on-site monitoring data, the the creep parameters of the tunnel are accurately inverted. On this basis, the stability analysis of the tunnel and the selection of a reasonable construction plan are carried out. The research results show that to ensure the stability of the tunnel, the construction scheme of initial lining + pipe shed + advanced grouting anchor rod should be adopted. The research results have guiding significance for the long-term stability evaluation of the tunnel. |
| format | Article |
| id | doaj-art-28eaac9e15204373b281f896d8490b8b |
| institution | OA Journals |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-28eaac9e15204373b281f896d8490b8b2025-08-20T02:03:54ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/37694743769474Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent AlgorithmFengrui Zhang0Annan Jiang1Xinping Guo2Xiurong Yang3Highway and Bridge Institute, Dalian Maritime University, Dalian 116026, ChinaHighway and Bridge Institute, Dalian Maritime University, Dalian 116026, ChinaHighway and Bridge Institute, Dalian Maritime University, Dalian 116026, ChinaHighway and Bridge Institute, Dalian Maritime University, Dalian 116026, ChinaAiming at the creep problem of Banshi Tunnel in Jilin province, the creep laws of rock are analyzed by the creep test, and the Cvsic model describing the creep characteristics of the tunnel is established. To obtain the creep parameters accurately, considering the advantages of Gauss process and differential evolution algorithm, coupling the two methods, a Gauss process-differential evolution intelligent inversion method is proposed. According to on-site monitoring data, the the creep parameters of the tunnel are accurately inverted. On this basis, the stability analysis of the tunnel and the selection of a reasonable construction plan are carried out. The research results show that to ensure the stability of the tunnel, the construction scheme of initial lining + pipe shed + advanced grouting anchor rod should be adopted. The research results have guiding significance for the long-term stability evaluation of the tunnel.http://dx.doi.org/10.1155/2021/3769474 |
| spellingShingle | Fengrui Zhang Annan Jiang Xinping Guo Xiurong Yang Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm Advances in Materials Science and Engineering |
| title | Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm |
| title_full | Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm |
| title_fullStr | Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm |
| title_full_unstemmed | Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm |
| title_short | Creep Parameter Inversion and Long-Term Stability Analysis of Tunnel Based on GP-DE Intelligent Algorithm |
| title_sort | creep parameter inversion and long term stability analysis of tunnel based on gp de intelligent algorithm |
| url | http://dx.doi.org/10.1155/2021/3769474 |
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