3D FEM Model on the Parameters’ Influence of EPB-TBM on Settlements of Single and Twin Metro Tunnels During Construction

Forsat, Masoud; Taghipoor, Mohammad; Palassi, Massoud

doi:10.1007/s42947-021-00034-0

Cited by 9 publications

(9 citation statements)

References 57 publications

(56 reference statements)

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“…Numerical methods, contrary to the empirical ones that consider only a mere handful of effective parameters on ground settlement, take into account the influence of a large number of factors, such as soil properties, the geometry of foundation pits, construction methods, and environmental factors, such as temporary stacking load and vehicle load [21,22]. In the last four decades, numerical methods have been extensively applied in the analysis of ground settlement induced by the construction of tunnels, and the results of these studies indicate the reasonable performance of numerical methods [13,[23][24][25].…”

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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“…In this respect, Suwansawat and Einstein [31] studied the relationship between the maximum values of the surface settlements provided by the Gaussian curves and the distance between tunnels. Similarly, recent research illustrates that the spacing of twin tunnels is also a relevant factor when the separation thereof is less than 20 m [32][33][34].…”

Section: Introductionmentioning

confidence: 95%

Numerical Model Validation for Detection of Surface Displacements over Twin Tunnels from Metro Line 1 in the Historical Area of Seville (Spain)

et al. 2022

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In order to solve connectivity problems in metropolitan areas, the development of underground metro lines constitutes an unquestionable requirement. However, the construction work thereof encounters unfavourable circumstances when surface excavations must be carried out that cross historical areas of the city, due to the need to control surface movements. The design of the metro in the city of Seville (Spain) from 2004 to 2006 provides a representative example of this situation and triggered major upheavals that exerted repercussions on historical buildings. For these reasons, the excavation stages of Line 1 of this metro have been simulated by numerical methods using FLAC3D software and validated with the results provided by the real conditions. Consequently, various surface settlements have been evaluated by taking not only variates of the main parameters that characterise the soil of Seville, but also of the various load situations and excavation conditions. Notable results have been achieved through calibration of 54 variants of the same model corresponding to Line 1, and their comparison with the real results obtained in nine critical areas of the itinerary. The results obtained have made it possible to determine the effects of excavation on the subsoil of the city of Seville with great accuracy, since the percentage error of calculated vertical surface movements varies from 0.1% to 5.3%.

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“…The simulation sequence adopted in this study is adequate to follow during the construction of the section in the study. The whole tunnelling process has been performed using the stage construction tool of the software through six calculation phases as follows: 1) ground initial stress generation (K 0 procedure); 2) activation of the surface weight and traffic load s s = = 10 KPa; displacements produced during the previous steps are disregarded; 3) the tunnel cluster is excavated and confining pressure of 70 KPa is applied as a tunnel face pressure; 4) activation of TBM plate elements (knowing the total mass of the shield makes it possible to assign a particular unit weight to this metallic structure while preserving the characteristics of inertia and rigidity of a non-deformable metallic cylinder); 5) assigning a line contraction of 0.5 %, which represents the volume loss due to the conical shape of the TBM; 6) application of sprayed concrete as a radial pressure [7] s c = 120 KPa; and 7) activation of plate elements which represent the final lining.…”

Section: Fig 5 Generated Meshmentioning

confidence: 99%

“…According to the literature [7], the contraction ratio affects significantly the surface settlement, so the determination of the real ratio is so important. Fig.…”

Section: Fig 5 Generated Meshmentioning

confidence: 99%

“…The 2D numerical approach simulates approximately the observed movements but requires the use of empirical coefficients to represent the 3D problem [6]. The maximum settlement induced by the TBM excavation occurs at the end tail of the shield which is the place of grouting [7] . The constitutive model has a great influence on describing tunnel behaviour and ground displacement [8].…”

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Analysis of surface settlements induced by tunnel excavation with EPB-TBM

Mekahlia¹,

Khadri²,

Bensehamdi³

et al. 2023

Nauk. visn. nat. hirn. univ.

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Purpose. To investigate the efficiency of various approaches to predict surface settlements due to tunnel excavation. Methodology. To appreciate the surface displacements, our study is focalized on the case of a real tunnel in a layered ground (Algiers’s Metro), where a tunnel boring machine was driven for the first time in this country. Firstly, the surface settlement trough was calculated with empirical, analytical, and numerical (FEM) methods. Secondly, a set of numerical analyses was carried out to inspect the evolution of surface settlement as the TBM progresses. Finally, a parametric study was performed to examine the construction step most productive for surface settlement. Findings. FEM is a useful tool for predicting surface displacements due to tunnelling, especially when assigning an adequate and sophisticated behaviour model. Originality. A reference numerical model which represents well the construction procedures of the Algiers tunnel has been established. Practical value. This study illustrates that the results obtained by FEM with the use of Hardening Soil as a constitutive model to represent the soil are almost identical to those measured during the tunnel excavation. On the other hand, the empirical formulas available in the literature are not always efficient to predict surface movements.

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3D FEM Model on the Parameters’ Influence of EPB-TBM on Settlements of Single and Twin Metro Tunnels During Construction

Cited by 9 publications

References 57 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

Numerical Model Validation for Detection of Surface Displacements over Twin Tunnels from Metro Line 1 in the Historical Area of Seville (Spain)

Analysis of surface settlements induced by tunnel excavation with EPB-TBM

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