IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p5294-d1099316.html
   My bibliography  Save this article

Study on Seismic Damage Risk Assessment of Mountain Tunnel Based on the Extension Theory

Author

Listed:
  • Changjian Chen

    (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Wei Zou

    (Shudao Investment Group Co., Ltd., Chengdu 610041, China)

  • Ping Geng

    (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Wenqi Gu

    (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Feiyun Yuan

    (Sichaun Lu Shi Expressway Group Co., Ltd., Chengdu 610041, China)

  • Chuan He

    (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

In this paper, the extension method is applied to the assessment of seismic damage risk in mountain tunnels. Based on various considerations such as the geological conditions of the tunnel site, the state of the tunnel, the structural situation and the earthquake, the seismic damage risk assessment index for mountainous tunnels is proposed. The range of values of different assessment indexes under each grade is quantified. The seismic damage risk of the tunnel is divided into four classes, and assessed based on the extension theory. The specific assessment process is as follows: Firstly, five tunnels affected by the Wenchuan earthquake were selected to construct the matter element to be assessed, and construct the classical domain and nodal domain; then, the entropy weight method and analytical hierarchy process (AHP) were used to determine the weights of each index; finally, the correlation function values were calculated to obtain the seismic damage risk level of the tunnels. Among them, the seismic damage risk level of the Longchi tunnel and Longxi tunnel is “high risk”, and the seismic damage risk level of the Longdongzi tunnel, Youyi tunnel and Maanshi tunnel is “moderate risk”. The five tunnels are sorted according to the eigenvalues of the seismic damage risk level as follows: Longchi tunnel > Longxi tunnel > Longdongzi tunnel > Youyi tunnel > Maanshi tunnel. Combined with the seismic damage investigation of the Wenchuan earthquake, the actual seismic damage of tunnel is consistent with the assessment results, which verifies the accuracy and effectiveness of this method. The seismic damage risk assessment model for mountain tunnels proposed in this paper has certain reference value for the future seismic damage risk assessment of tunnels.

Suggested Citation

  • Changjian Chen & Wei Zou & Ping Geng & Wenqi Gu & Feiyun Yuan & Chuan He, 2023. "Study on Seismic Damage Risk Assessment of Mountain Tunnel Based on the Extension Theory," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5294-:d:1099316
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/5294/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/5294/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qingfei Luo & Wei Li & Honglin Su & Xinru Chen, 2020. "Evaluating Construction Risks of Modified Shield Machine Applicable to Soft Soils Based on Fuzzy Comprehensive Evaluation Method," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, October.
    2. Yancang Li & Lei Zhao & Juanjuan Suo, 2014. "Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS," Sustainability, MDPI, vol. 6(7), pages 1-9, July.
    3. Xingwei Fu & Yalina Ma & Zhen Cui, 2021. "Probabilistic Seismic Hazard Analysis for Fault Dislocation Magnitude Induced by Strong Earthquakes: A Case Study of the Sichuan-Yunnan Region," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    4. Heeyoung Chung & Jeongjun Park & Byung-Kyu Kim & Kibeom Kwon & In-Mo Lee & Hangseok Choi, 2021. "A Causal Network-Based Risk Matrix Model Applicable to Shield TBM Tunneling Projects," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    5. Guohua Zhang & Chengtang Wang & Yuyong Jiao & Hao Wang & Weimin Qin & Wu Chen & Guoqiang Zhong, 2020. "Collapse Risk Analysis of Deep Foundation Pits in Metro Stations Using a Fuzzy Bayesian Network and a Fuzzy AHP," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, April.
    6. Xiaorong Hu & Zhiguang Zhou & Hao Chen & Yongqiang Ren, 2020. "Seismic Fragility Analysis of Tunnels with Different Buried Depths in a Soft Soil," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    7. Li, Tingting & Zhou, Yangze & Zhao, Yang & Zhang, Chaobo & Zhang, Xuejun, 2022. "A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems," Applied Energy, Elsevier, vol. 306(PB).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yiwei Ren & Shijun Zhou & Jiayin Jia & Qiang Yuan & Maoyi Liu & Shuyi Song & Zelin Zhou & Zhen Wang, 2023. "The Influence of Construction Methods on the Stability of Tunnels and Ground Structures in the Construction of Urban Intersection Tunnels," Sustainability, MDPI, vol. 15(20), pages 1-19, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fu, Lipeng & Wang, Xueqing & Zhao, Heng & Li, Mengnan, 2022. "Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    2. Xiaodong Li & Haibo Kuang & Yan Hu, 2019. "Carbon Mitigation Strategies of Port Selection and Multimodal Transport Operations—A Case Study of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    3. Kibeom Kwon & Minkyu Kang & Dongku Kim & Hangseok Choi, 2023. "Prioritization of Hazardous Zones Using an Advanced Risk Management Model Combining the Analytic Hierarchy Process and Fuzzy Set Theory," Sustainability, MDPI, vol. 15(15), pages 1-15, August.
    4. Jingxin Sun & Zhinong Li & Jiaqiang Lei & Dexiong Teng & Shengyu Li, 2018. "Study on the Relationship between Land Transport and Economic Growth in Xinjiang," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    5. Pablo Cartes & Alondra Chamorro & Tomás Echaveguren, 2021. "Seismic risk evaluation of highway tunnel groups," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2101-2121, September.
    6. Yi Qin & Jiawen He & Miao Wei & Xixi Du, 2022. "Challenges Threatening Agricultural Sustainability in Central Asia: Status and Prospect," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    7. Željko Stević & Dragan Pamučar & Marko Subotić & Jurgita Antuchevičiene & Edmundas Kazimieras Zavadskas, 2018. "The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    8. Chen, Yinuo & Tian, Zhigang & He, Rui & Wang, Yifei & Xie, Shuyi, 2023. "Discovery of potential risks for the gas transmission station using monitoring data and the OOBN method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    9. Wen, Shuqing & Zhang, Weirong & Sun, Yifu & Li, Zhenxi & Huang, Boju & Bian, Shouguo & Zhao, Lin & Wang, Yan, 2023. "An enhanced principal component analysis method with Savitzky–Golay filter and clustering algorithm for sensor fault detection and diagnosis," Applied Energy, Elsevier, vol. 337(C).
    10. Jianhua Cheng & Xiaolong Yang & Hui Wang & Hujun Li & Xuan Lin & Yapeng Guo, 2022. "Evaluation of the Emergency Capability of Subway Shield Construction Based on Cloud Model," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    11. Hong Chang & Xinchao Liu & Yu Xie & Yahong Liu & Wu Yang & Jianming Niu, 2022. "The Grassland Ecological Compensation Policy Drives the Differentiation of Herders’ Livelihoods in Inner Mongolian Desert Grassland," Agriculture, MDPI, vol. 12(9), pages 1-15, August.
    12. Du, Zhimin & Liang, Xinbin & Chen, Siliang & Li, Pengcheng & Zhu, Xu & Chen, Kang & Jin, Xinqiao, 2023. "Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems," Energy, Elsevier, vol. 280(C).
    13. Lin Ding & Zhenfeng Shao & Hanchao Zhang & Cong Xu & Dewen Wu, 2016. "A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    14. Cheng Zhang & Xingli Wu & Di Wu & Huchang Liao & Li Luo & Enrique Herrera-Viedma, 2018. "An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization," IJERPH, MDPI, vol. 15(4), pages 1-18, April.
    15. Wei, Hairui & Lee, Paul Tae-Woo, 2021. "Designing a coordinated horizontal alliance system for China’s inland ports with China railway express platforms along the Silk Road Economic Belt," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    16. Shafique, Muhammad & Azam, Anam & Rafiq, Muhammad & Luo, Xiaowei, 2021. "Investigating the nexus among transport, economic growth and environmental degradation: Evidence from panel ARDL approach," Transport Policy, Elsevier, vol. 109(C), pages 61-71.
    17. Xi Lu & Jiaqing Lu & Xinzheng Yang & Xumei Chen, 2022. "Assessment of Urban Mobility via a Pressure-State-Response (PSR) Model with the IVIF-AHP and FCE Methods: A Case Study of Beijing, China," Sustainability, MDPI, vol. 14(5), pages 1-23, March.
    18. Bo Huang & Jiachen Guo & Kailong Liao & Yu Zhao, 2021. "Fragility Analysis of RC Frame Structures Subjected to Obliquely Incident Seismic Waves," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    19. Bingbing Zhang & Fei Song & Weiguang Li, 2023. "Stability Analysis of Retaining Walls with Geocell-Reinforced Road Milling Materials," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    20. Guler Aras & Evrim Hacioglu Kazak, 2022. "Enhancing Firm Value through the Lens of ESG Materiality: Evidence from the Banking Sector in OECD Countries," Sustainability, MDPI, vol. 14(22), pages 1-29, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5294-:d:1099316. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.