Tunneling-induced ground movements on Tehran Metro

Chakeri, Hamid; Talebinejad, Alireza; Moosavi, M.; Ünver, Bahtiyar

doi:10.1007/s11204-012-9180-x

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Показано, что мульда оседания для всех рассмотренных вариантов расчета имеет седлообразную форму (рис. 1), что согласуется с результатами исследований других авторов и натурных наблюдений [2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionunclassified

Influence of Underground Mine Parameters on the Value of Daylight Surface Settlement of Undermined Territory

Богомолова

А²,

Zhidelev

et al. 2020

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The article presents the analysis results of influence of shape and dimensions of cross-section, laying depth of mine, cross-section shape and dimensions of underground mine on the daylight surface settlement of undermined territory depending on the different numerical values of the soil lateral pressure coefficient of the surrounding soil. The numerical solution was obtained in an elastic setting using the computer programs «FEA» and «Stability». In the calculations, the elastic modulus of the enclosing rocks is taken equal to the dimensionless constant E /γ H = 500 (where γ; H are the rocks volumetric weight and laying depth of mine), therefore, the numerical values of the vertical displacements gained as a result of the calculations are also dimensionless. This approach is convenient for both quantitative and qualitative analysis, because not only specific values of vertical displacements are considered, but also change patterns of their values depending on changes in the numerical values of the variables of the calculated parameters. Assuming that the displacements in the linear formulation of the problem are inversely proportional to the elastic modulus, their magnitudes can be determined for any other value of E . It was established the vertical displacements of earth’s surface points located above the mine, provided that the depth of its laying is more than 15.2 m and the dimensions of the cross section are greater than 4×4 m, significantly depend on the shape of the cross section and the lateral pressure coefficient of the surrounding rock. In addition, smaller vertical precipitation of the daylight surface corresponds to an underground mine having an exotic and «non-technological» cross section in the deltoid form. Therefore, the problem arises is to obtain such an optimal cross-sectional shape of the mine that would ensure the minimum precipitation of the earth's surface. The cross-sectional shape of the mine must be as “technological" as possible according to its advancement. The subject of further research is the solution of these problems.

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Section: Introductionunclassified

Influence of Underground Mine Parameters on the Value of Daylight Surface Settlement of Undermined Territory

Богомолова

А²,

Zhidelev

et al. 2020

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On the optimization of the construction of ventilation systems during the construction of metro by underground method

2019

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The article discusses optimal versions for placement of ventilation systems for deep-laid underground lines, performed in a closed way, with the removal of the ventilation chamber from the ventilation output and placing it either in the ventilation shaft or in a specially constructed ventilation chamber located near the trunk, which significantly simplifies the design of excavation, and as a result, speed up its construction. To reduce the construction time, it is proposed to perform parallel work on the vent development and the ventilation chamber, including the possible installation of process equipment in parallel with the mining operations during the construction of the metro by the underground method.

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Modern Machine Learning Techniques for Univariate Tunnel Settlement Forecasting: A Comparative Study

Yan

et al. 2019

Mathematical Problems in Engineering

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Tunnel settlement commonly occurs during the tunnel construction processes in large cities. Existing forecasting methods for tunnel settlements include model-based approaches and artificial intelligence (AI) enhanced approaches. Compared with traditional forecasting methods, artificial neural networks can be easily implemented, with high performance efficiency and forecasting accuracy. In this study, an extended machine learning framework is proposed combining particle swarm optimization (PSO) with support vector regression (SVR), back-propagation neural network (BPNN), and extreme learning machine (ELM) to forecast the surface settlement for tunnel construction in two large cities of China P.R. Based on real-world data verification, the PSO-SVR method shows the highest forecasting accuracy among the three proposed forecasting algorithms.

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Tunneling-induced ground movements on Tehran Metro

Cited by 3 publications

References 3 publications

Influence of Underground Mine Parameters on the Value of Daylight Surface Settlement of Undermined Territory

Influence of Underground Mine Parameters on the Value of Daylight Surface Settlement of Undermined Territory

On the optimization of the construction of ventilation systems during the construction of metro by underground method

Modern Machine Learning Techniques for Univariate Tunnel Settlement Forecasting: A Comparative Study

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