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A dynamic assessment method on collapse risk of small spacing tunnels based on attribute interval recognition model

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Abstract

Due to the small thickness of the middle rock wall, the complex surrounding rock stress, and the great influence of construction, the large deformation and even the collapse of the vault are easy to occur in the small spacing tunnel. In order to more accurately assess the risk caused by tunnel collapse, combining with the case of a small spacing tunnel in the Puyan Highway in Fujian province, the evaluation index system and classification standard of tunnel collapse risk assessment were established based on the engineering topographic and geological conditions of highway tunnels. Moreover, the combined weights were used to calculate the weights of each evaluation index, and then the attribute interval recognition model was used to construct the dynamic risk assessment method of small spacing tunnel. Finally, the dynamic risk assessment method was used to evaluate the two dangerous tunnel sections in the tunnel section of the case. According to the evaluation results, the tunnel section X1 and X2 all have a high risk of tunnel collapse, which is consistent with the construction situation on site. It was verified that the evaluation results were reliable, which could be used for reference for similar projects.

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Data Availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

The funders had no role in the design of the research; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Acknowledgements

The authors would like to express their appreciation and thanks to the Sanming Traffic Construction Group Co., LTD and the 1st Engineering LTD. of China Railway 11th Bureau Group.

Funding

This research was funded by the Natural Science Foundation of China (51678164, 51478118), the Guangxi Natural Science Foundation Program (2018GXNSFDA138009), the Guangxi Science and Technology Plan Projects (AD18126011), the Scientific Research Foundation of Guangxi University (XTZ160590), and the project supported by GDHVPS (2019).

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Authors and Affiliations

  1. College of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, Guangxi, China

    Bo Wu, Huihao Chen, Guowang Meng & Wei Huang

  2. School of Civil and Architectural Engineering, East China University of Technology, Nanchang, 330013, Jiangxi, China

    Bo Wu

  3. School of Architectural Engineering, Guangzhou City Construction College, Guangzhou, 510925, Guangdong, China

    Bo Wu

  4. Sanming Traffic Construction Group Co., Ltd, Sanming, 365000, Fujian, China

    Junhua Cai

  5. The 1St Engineering LTD. of China Railway 11Th Bureau Group, Xiangyang, 441104, Hubei, China

    Yicai Li & Yao Zhang

Authors
  1. Bo Wu
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  2. Huihao Chen
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  3. Guowang Meng
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  4. Wei Huang
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  5. Junhua Cai
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  7. Yao Zhang
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Correspondence to Huihao Chen.

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Wu, B., Chen, H., Meng, G. et al. A dynamic assessment method on collapse risk of small spacing tunnels based on attribute interval recognition model. Arab J Geosci 14, 2545 (2021). https://doi.org/10.1007/s12517-021-08676-x

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