Subway tunnel design using a ground surface settlement profile to characterize an acceptable configuration

Garner, Cyrus D.; Coffman, Richard A.

doi:10.1016/j.tust.2012.06.013

Cited by 21 publications

(4 citation statements)

References 4 publications

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“…The settlement prediction accuracy of numerical methods greatly depends on the choice of the values of these factors, the constitutive model, and the accuracy with which the construction process is represented. However, the true values of some factors and parameters may be difficult to obtain, and inaccurate values could lead to unreliable predictions [26]. For example, the parameters of soil properties are generally obtained from laboratory tests; however, the test results are often not representative of the in situ soil behavior due to sampling disturbance, change in in situ environment, and the effects of construction, leading to marked discrepancies between the prediction results of ground settlement and the on-site settlement-monitoring data [27].…”

Section: Numerical Methods For the Prediction Of Ground Settlementssmentioning

confidence: 99%

ANN-Based Dynamic Prediction of Daily Ground Settlement of Foundation Pit Considering Time-Dependent Influence Factors

Zhang

et al. 2022

Applied Sciences

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Accurately and dynamically predicting ground settlements during the construction of foundation pits is pivotal to the understanding of the potential risk of foundation pits and, therefore, enables constructors to take timely and effective actions to ensure the construction safety of foundation pits. Existing settlement prediction methods mainly focus on the prediction of the maximum ground settlements based on static influence factors, such as soil properties and the geometry of foundation pits. However, these methods are unable to be applied to the prediction of daily ground settlements in a direct way because daily ground settlements can be affected by many time-dependent influence factors, and an accurate prediction of daily ground settlements should take into consideration such factors. To address this problem, this paper proposes an artificial neural network-based daily ground settlement prediction method, where both static and time-dependent influence factors, as well as previous settlement monitoring data, are considered in the optimum artificial neural network. The proposed method is validated using data collected from a real cut-and-cover highway tunnel project in western Hangzhou, China. The results demonstrate that time-dependent influence factors and previous settlement monitoring data play vital roles in establishing an optimum artificial neural network for the accurate prediction of daily ground settlement.

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Section: Numerical Methods For the Prediction Of Ground Settlementssmentioning

confidence: 99%

ANN-Based Dynamic Prediction of Daily Ground Settlement of Foundation Pit Considering Time-Dependent Influence Factors

Zhang

et al. 2022

Applied Sciences

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“…Li et al [13] focused on the control of stratum deformation, starting with the concept of reducing, blocking, and controlling stratum deformation, and proposed safety control measures for the construction of the underpassing building project between the Cuobuling Station and Qingjiang Road Station of Qingdao Metro Line 3. In addition, scholars have also established a variety of analysis models for the ground subsidence caused by tunnel construction [14][15][16] and proposed feasible control measures [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Construction Countermeasures of Shallow‐Buried Small Spacing Tunnel Undercrossing Cultural Relic Buildings: A Case Study

Wan

Shen

Zhang

et al. 2021

Advances in Civil Engineering

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Based on the background of the reconstruction project from Changqing Chenzhuang-Pingyin section of G220 east-deep line in China, a special tunnel structure and construction plan was carried out according to the construction measures of the shallow-buried small spacing tunnel passing underneath cultural relic buildings, and a comprehensive deformation control scheme of “CRD construction method single-arm excavation + surface grouting prereinforcement + advanced large pipe shed presupport” was put forward. The results of numerical simulation and on-site construction monitoring showed that the overall deformation of aqueduct foundation generally increases first, then decreases and increases again, and finally tends to be stable. The effects of surface grouting prereinforcement and advance large pipe shed presupport are obvious. The comprehensive deformation control scheme can ensure the safety of the existing construction and meet the safety prevention and control requirements.

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“…A significant amount of research has been performed to study the ground movements induced by the construction of twin tunnels or more (e.g., Addenbrooke and Potts, 2001;Chapman et al, 2003;Hunt, 2005;Ahn et al, 2006;Chapman et al, 2007;Laver, 2011;Divall et al, 2012;Garner and Coffman, 2013;Divall, 2013;Do et al, 2014;Ocak, 2014). The additional movements caused by the interaction between tunnels may result in asymmetric settlement troughs.…”

Section: Introductionmentioning

confidence: 99%

Effects of twin tunnels construction beneath existing shield-driven twin tunnels

Fang

Zhang

et al. 2015

Tunnelling and Underground Space Technology

160

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Subway tunnel design using a ground surface settlement profile to characterize an acceptable configuration

Cited by 21 publications

References 4 publications

ANN-Based Dynamic Prediction of Daily Ground Settlement of Foundation Pit Considering Time-Dependent Influence Factors

ANN-Based Dynamic Prediction of Daily Ground Settlement of Foundation Pit Considering Time-Dependent Influence Factors

The Construction Countermeasures of Shallow‐Buried Small Spacing Tunnel Undercrossing Cultural Relic Buildings: A Case Study

Effects of twin tunnels construction beneath existing shield-driven twin tunnels

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