Analysis of the influence of karst cave parameters on surface settlement in TBM tunnelling

• Autorzy: Dong Bichang , Yang Tao , Ju Binbin , Qu Zhongying , Yi Chao

Identyfikatory

DOI

10.24425/bpasts.2024.150110

• Języki publikacji: EN

Abstrakty

EN

In order to study the influence of multiple karst cave factors on surface settlement during tunnel boring machine (referred to TBM hereinafter) tunnelling, a three-dimensional numerical model is built by taking a subway project as an example and combining it with MIDAS GTS NX finite element software. Secondly, the influence of the radius, height, angle, vertical net distance and horizontal distance of the karst cave on maximum surface settlement is studied and sorted under the two working conditions of treatment and lack of treatment using the gray correlation analysis method. Additionally, a multi-factor numerical model of the untreated karst cave is established. Finally, based on the preceding research, a multi-factor prediction model for maximum surface settlement is proposed and tested. The results reveal that when the karst cave is not treated, the radius and height of the karst cave have a significant effect on maximum surface settlement. Following cave treatment however, the influence of the cave parameters on maximum settlement of the surface is greatly reduced. The calculating model created in this study offers excellent prediction accuracy and good adaptability.

Słowa kluczowe

EN

karst cave; TBM tunnelling; surface subsidence; grey correlation analysis; MIDAS

PL

jaskinia krasowa; tunelowanie TBM; osiadanie powierzchni; analiza korelacji szarej; MIDAS

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 4
• Strony: art. no. e150110
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Dong Bichang

• School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan Hubei 430063, China

• https://orcid.org/0009-0002-3930-6632

autor

Yang Tao

• School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan Hubei 430063, China

• https://orcid.org/0000-0002-1277-2708

autor

Ju Binbin

• School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan Hubei 430063, China

autor

Qu Zhongying

• Wuhan Municipal Engineering Design and Research Institute Co., Ltd. Wuhan Hubei 430063, China

autor

Yi Chao

• China Railway Seven Bureau Group Fourth Engineering Co., Ltd. Wuhan 430200, China

Bibliografia

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