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Failure analysis and treatments of a loess tunnel being constructed in ground fissure area

  • Enlin Ma
  • , Jinxing Lai*
  • , Shuoshuo Xu
  • , Xinghao Shi
  • , Jian Zhang
  • , Yujian Zhong
  • *Tämän työn vastaava kirjoittaja
  • Chang'an University
  • Xi'an Metro Co., Ltd.
  • China Railway First Survey And Design Institute Group Co., Ltd.

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

80 Sitaatiot (Scopus)

Abstrakti

Tunnelling in ground fissure areas is prone to collapse even with reasonable reinforcement. Based on the collapse of a tunnel in Xi'an Metro Line 3 near a ground fissure, potential causes and corresponding mechanisms were analysed. Preliminary in-situ investigation indicates that the hydraulic erosion induced loose pressure and crack-rich soil below the unclosed initial support were mainly attributed to be the triggering force of the collapse. Compared with the two common failure modes in tunnels, this collapse is of unique characteristics, showing that special attention to the arch feet is required in similar strata. The collapse mechanisms were subsequently analysed in aspects of geology, soil meso-features and construction. In addition, The failure process was simulated based on discrete element method in MatDEM and stress chains have been observed, showing results consistent with the above analysis. To prevent a secondary disaster, necessary appropriate remedies with considerable resources were implemented at three sites: the tunnel, portal and surface. Combined with the monitoring data during the treatment, their effects and shortcomings were discussed. The result facilitates prevention and treatment of collapse induced by underground tunnelling near ground fissures.

AlkuperäiskieliEnglanti
Artikkeli106034
Sivumäärä16
JulkaisuEngineering Failure Analysis
Vuosikerta134
DOI - pysyväislinkit
TilaJulkaistu - huhtik. 2022
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

The authors gratefully acknowledge the financial support by the National Natural Science Foundation of China (No. 51978066), the Construction Science and Technology Project of Xi'an (SZJJ2019-23), the Funding Project for Innovation Ability Training of Doctoral Candidates of Chang'an University (300203211217) and the National Key R&D Program of China (No.2018YFC0808706). Enlin Ma acknowledges the financial support by China Scholarship Council for the Joint-Ph.D. Training Program at Aalto University in Finland. Our deepest gratitude goes to Professor Chun Liu at School of Earth Sciences and Engineering, Nanjing University for his development in DEM and open licence of the high-performance MatDEM software. The authors gratefully acknowledge the financial support by the National Natural Science Foundation of China (No. 51978066), the Construction Science and Technology Project of Xi'an (SZJJ2019-23), the Funding Project for Innovation Ability Training of Doctoral Candidates of Chang'an University (300203211217) and the National Key R&D Program of China (No.2018YFC0808706). Enlin Ma acknowledges the financial support by China Scholarship Council for the Joint-Ph.D. Training Program at Aalto University in Finland .

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