Reliability study on shield tunnel face using a random limit analysis method in multilayered soils. (February 2019)
- Record Type:
- Journal Article
- Title:
- Reliability study on shield tunnel face using a random limit analysis method in multilayered soils. (February 2019)
- Main Title:
- Reliability study on shield tunnel face using a random limit analysis method in multilayered soils
- Authors:
- Cheng, Hong-Zhan
Chen, Jian
Chen, Ren-Peng
Chen, Guo-Liang - Abstract:
- Abstract: Tunnels are generally driving in multilayered soils, and natural soils are well known to have high variability in strength. However, few attempts have been made to consider both these two features for stability analysis of tunnel face. To address this problem, this study employs an efficient method named random limit analysis method (RLAM). The method adopts random fields to describe the spatial variability of soil strength parameters, and employs the upper bound theorem of limit analysis to determine the critical state of tunnel face. A homogenous tunnel and three two-layer tunnels were investigated to validate the proposed method compared to the rigorous random finite difference method (RFDM). It is shown that the proposed method can not only explicitly consider soil heterogeneity and parameters variability, but also significantly improve the computational efficiency of probability of failure. RLAM integrating with a Monte Carlo simulation is compiled by MATLAB, thereby allowing the reliability problem of tunnel face to be studied conveniently. Parametric analyses are then performed to explore the effects of the auto-correlation distance on the reliability and failure mechanism for different soil conditions. The results suggest that partial collapse may be observed when tunnel is driving in multilayered soils, especially considering the variability of soil properties. In general, neglecting the variability will result in an overestimation of the stability ofAbstract: Tunnels are generally driving in multilayered soils, and natural soils are well known to have high variability in strength. However, few attempts have been made to consider both these two features for stability analysis of tunnel face. To address this problem, this study employs an efficient method named random limit analysis method (RLAM). The method adopts random fields to describe the spatial variability of soil strength parameters, and employs the upper bound theorem of limit analysis to determine the critical state of tunnel face. A homogenous tunnel and three two-layer tunnels were investigated to validate the proposed method compared to the rigorous random finite difference method (RFDM). It is shown that the proposed method can not only explicitly consider soil heterogeneity and parameters variability, but also significantly improve the computational efficiency of probability of failure. RLAM integrating with a Monte Carlo simulation is compiled by MATLAB, thereby allowing the reliability problem of tunnel face to be studied conveniently. Parametric analyses are then performed to explore the effects of the auto-correlation distance on the reliability and failure mechanism for different soil conditions. The results suggest that partial collapse may be observed when tunnel is driving in multilayered soils, especially considering the variability of soil properties. In general, neglecting the variability will result in an overestimation of the stability of tunnel face, and probability of failure is more sensitive to the change of the vertical auto-correlation distance than the horizontal one. … (more)
- Is Part Of:
- Tunnelling and underground space technology. Volume 84(2019)
- Journal:
- Tunnelling and underground space technology
- Issue:
- Volume 84(2019)
- Issue Display:
- Volume 84, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 84
- Issue:
- 2019
- Issue Sort Value:
- 2019-0084-2019-0000
- Page Start:
- 353
- Page End:
- 363
- Publication Date:
- 2019-02
- Subjects:
- Tunnel face stability -- Spatial variability -- Random field -- Limit analysis -- Multilayered soils
Tunneling -- Periodicals
Underground construction -- Periodicals
Tunnels -- Periodicals
Underground areas -- Periodicals
624.193 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08867798 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tust.2018.11.038 ↗
- Languages:
- English
- ISSNs:
- 0886-7798
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9071.405000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9271.xml