Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling

Suwansawat, Suchatvee; Einstein, Herbert H.

doi:10.1016/j.tust.2005.06.007

Cited by 244 publications

(69 citation statements)

References 2 publications

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“…A large amount of research methods for prediction surface settlement induced by the shield tunnel have been developed over these years and can be summarized in empirical methods [1][2][3][4][5][6][7][8], analytical methods [9][10][11][12][13][14][15][16], and numerical simulation [17][18][19][20][21]. In recent years, artificial neural network [22][23][24] has been developed for analysis of surface settlement caused by the shield tunnel. However, the effect of tail void grouting pressure is not taken seriously in these methods predicting surface settlement.…”

Section: Introductionmentioning

confidence: 99%

Analytical Method for Evaluating the Ground Surface Settlement Caused by Tail Void Grouting Pressure in Shield Tunnel Construction

Zhu

2018

Advances in Civil Engineering

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e tail void grouting is a key step in shield tunnel construction and has an important influence on the loading on the surrounding soil and on the resulting settlement. In order to estimate the ground surface settlement caused by tail void grouting pressure in tunnel construction, the loading on the surrounding soil is simplified as an expansion problem of the cylindrical cavity in semi-infinite elastic space. A simple analytical formula is deduced by using the virtual image technique and Fourier transform solutions. e effectiveness of the proposed method is verified by case studies. e effects of elastic modulus, tail void grouting pressure, tunnel radius, and tunnel depth on the ground surface heave are conducted. e results indicate that the computed results are in accordance with Ye's solution and it is more rational to consider the ground surface heave induced by tail void grouting pressure in the prediction of ground settlement due to shield excavation. Moreover, the ground surface heave owing to tail void grouting pressure resembled a Gaussian distributed curve. us, no matter the ground surface subsidence or ground surface heave can be predicted by means of adding the presented empirical formula to the Peck formula which cannot predict the ground surface heave. e ground surface heave decreases with an increase in elastic modulus. On the contrary, as the tail void grouting pressure and tunnel radius increase, the ground surface heave increases, respectively. e ground surface heave first steadily increases and then declines gradually with the tunnel depth increase.

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Section: Introductionmentioning

confidence: 99%

Analytical Method for Evaluating the Ground Surface Settlement Caused by Tail Void Grouting Pressure in Shield Tunnel Construction

Zhu

2018

Advances in Civil Engineering

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“…By consulting the literature [9][10][11][12][13], the variables were designated as depth of tunnel; groundwater level; moisture content, porosities, compression modulus, internal friction angle, cohesion, Poisson's ratio, unit weight, advancing speed of shield machine, speed of the cutter head, earth chamber pressure. The variables related to soil parameters were calculated by weighting the soil layers above tunnel floor and soil that tunnel passed through respectively.…”

Section: Data Preprocessingmentioning

confidence: 99%

Factors Influencing Ground Settlements on Different Geomorphology Units Based on Principal Component Analysis

et al. 2018

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Abstract. Based on the case Nanjing Metro Line 4, the method Principal Component Analysis (PCA) was used to study the influence of ground settlement by shield tunnel construction on different geomorphology units. Correlation analysis and weighted least square method (WLS) were applied for variables selection and to obtain their relationship with settlement. 5-7 principal components could be used to present the initial 19-21 variables after decreasing the dimensions of data. For the floodplain of Yangtze River, variable parameters that highly linearly dependent on settlement were depth of tunnel, distance between the roof of tunnel and the bottom of soft soil layer, thickness of soft soil, compression modulus of soil that tunnel passed through and speed of the cutter head. For the Qinhuai ancient channel, variable parameters were Poisson's ratio, porosities, moisture content, unit weight, cohesion, internal friction angle, compression modulus of soil that tunnel passed through, advancing speed, earth chamber pressure. For the terrace of Yangtze River, variable parameters were cohesion, porosities, moisture content, Poisson's ratio, compression modulus and unit weight of soil. In addition, for the geomorphology unit with col landform, variable parameters were different. Residuals of regression formula are small, which will have certain reference value in practical engineering.

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“…The settlement of the ground surface (Kim et al 2001;Sou-Sen and Hsien-Chuang 2004;Suwansawat and Einstein 2006) around foundation excavation is explained by Figs. 8 and 9.…”

Section: Settlement Of Ground Surface Around Foundation Excavationmentioning

confidence: 99%

Study on Deformation Characteristics of Deep Foundation Excavation in Soft-Soil and the Response of Different Retaining Configurations

Liu

2011

Geotech Geol Eng

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In recent years, many researchers have considered the mechanical characteristics of deep foundation excavation in soft-soil. The analysis of these deep excavations requires consideration of an uncertain, nonlinear, dynamic and complicated system, and involves consideration of soil strength, stability, deformation, fluid flow and interaction of soil and different retaining configurations. It is difficult to describe such a nonlinear system using traditional analysis. Therefore, in order to accurately describe the mechanical behavior of a representative deep excavation of the subway station, in this case, 3-Dimensional geotechnical numerical analysis method using FLAC3D software was applied. Using this tool, a study considering earth pressure, soil deformation and settlement was carried out. Furthermore, the response of different retaining configurations was deeply investigated. Triaxial cement mixing piles were considered as a way to optimize deformation of the deep excavation and reduce settlement of the ground surface and the railway embankment. The analysis indicated that the deeper the foundation excavation was, the larger the surface settlement and the smaller the earth pressure. The analysis also considered the mechanical effect of varying the wall thickness and the wall depth on the structure's deformation characteristics. The simulations indicated that a wall thickness of less than 1.4 m effectively reduced wall horizontal displacement, ground surface settlement and uneven settlement of railway embankment. While a variable wall embedded depth that was less than 52 m also changed the settlement of the excavation deformation and the ground surface. Therefore, the numerical results can agree with the practical project to imply that numerical method in the paper is applicable and reliable, which provides a new thought to research on deep excavation in soft-soil.

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Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling

Cited by 244 publications

References 2 publications

Analytical Method for Evaluating the Ground Surface Settlement Caused by Tail Void Grouting Pressure in Shield Tunnel Construction

Analytical Method for Evaluating the Ground Surface Settlement Caused by Tail Void Grouting Pressure in Shield Tunnel Construction

Factors Influencing Ground Settlements on Different Geomorphology Units Based on Principal Component Analysis

Study on Deformation Characteristics of Deep Foundation Excavation in Soft-Soil and the Response of Different Retaining Configurations

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