Analysis and Prediction of Long-Term Settlement of Metro Shield Tunnel in Saturated Sand

Liu, Jianzheng; Yang, Yong; Yang, Chunjie

doi:10.1007/s10706-021-01828-6

Cited by 15 publications

(10 citation statements)

References 9 publications

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“…Consequently, ߪ ‾ = ܾߪ and பி பఙ ‾ ೕ can be determined. Subsequently, b is substituted into Equation (9).…”

Section: Strain Incrementmentioning

confidence: 99%

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A numerical method for calculating the long-term settlement of three-dimensional subgrade under numerous traffic loads

Huang,

Sun,

Qian

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Settlement problems caused by various traffic loads significantly impact infrastructure sustainability. Accurately predicting the long-term settlement of subgrade is crucial for improving infrastructure resilience. This study determined the element strain of soil using an explicit strain model, based on the bounding surface model and associated flow rules. Using the method of generalized shear strain equivalent, a cyclic cumulative factor is proposed for determining the magnitude of cumulative strain increment. The direction of plastic strain increment was determined using the bounding surface model combined with associated flow rules. A cumulative strain calculation method integrating the bounding surface and explicit strain models under general stress states was established. This computational method, combined with equivalent finite elements, can be used for calculating the long-term settlement of three-dimensional subgrade under numerous cyclic loads at general stress states through a user-defined subroutine provided by the commercial finite element modeling (FEM) software. The reliability of the method was verified through unit tests.

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“…Consequently, ߪ ‾ = ܾߪ and பி பఙ ‾ ೕ can be determined. Subsequently, b is substituted into Equation (9).…”

Section: Strain Incrementmentioning

confidence: 99%

“…where ‫ݍ‬ ௨௧ is the undrained shear strength of saturated soft clay. Liu et al [9] derived the following formula for the shear strength of ‫ܭ‬ -consolidated saturated soft clay based on the boundary surface and critical state theories:…”

Section: Explicit Strain Model For Determining the Generalized Shear ...mentioning

confidence: 99%

A numerical method for calculating the long-term settlement of three-dimensional subgrade under numerous traffic loads

Huang,

Sun,

Qian

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The numerical calculation model applied to the prediction of deformation trends in tunnel structures usually combines the principle of the soil consolidation compression and deformation mechanism to simulate the variation of tunnel deformation values over time [5][6][7]. For example, for a river crossing tunnel, Liu et al [8] combined the static finite element calculation model and empirical fitting formula to calculate and predict the deformation value, with the number of actions of traffic load and basic parameters of soil layer as important parameters. The methods based on probability statistics have also been applied by some scholars in the field of tunnel deformation [9,10].…”

Section: Numerical Calculation Modelsmentioning

confidence: 99%

Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period

Duan

Zhang

2023

Data

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Accurately predicting the structural deformation trend of tunnels during operation is significant to improve the scientificity of tunnel safety maintenance. With the development of data science, structural deformation prediction methods based on time-series data have attracted attention. Auto Regressive Integrated Moving Average model (ARIMA) is a classical statistical analysis model, which is suitable for processing non-stationary time-series data. Long- and Short-Term Memory (LSTM) is a special cyclic neural network that can learn long-term dependent information in time series. Both are widely used in the field of temporal prediction. In view of the lack of time-series prediction in the tunnel deformation field, the body of this paper uses historical data of the Xinjian Road and the Dalian Road tunnel in Shanghai to propose a new way of modeling based on single points and road sections. ARIMA and LSTM models are applied in comprehensive experiments, and the results show that: (1) Both LSTM and ARIMA models have great performance for settlement and convergence deformation. (2) The overall robustness of ARIMA is better than that of LSTM, and it is more adaptable to the datasets. (3) The model prediction performance is closely related to the data quality. ARIMA has more stable performance under the lack of data volume, while LSTM has better performance with high-quality data and higher upper limit.

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“…Current prediction methods for long-term tunnel settlement primarily include the field test method 9 , numerical simulation method 10 , 11 , model test method 12 , machine learning method 13 , analytical method 14 , and theoretical research method 6 , 15 , 16 . The focus of these studies is mainly on tunnel structure 17 , soil type 18 , 19 , train speed 20 , and tunnel surroundings 15 , 21 .…”

Section: Introductionmentioning

confidence: 99%

Study on dynamic response and long-term settlement of silty soil around Shanghai metro tunnel

Sang,

Yan,

Wang

et al. 2024

Sci Rep

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At present, the method for calculating long-term tunnel settlement predictions under metro loading considers only one working condition of passenger loading, which is inconsistent with actual working conditions. To establish a tunnel settlement model that accounts for variations in passenger flow, this study uses data mining methods to categorize metro operation into three working conditions: "peak period, secondary period, and low period." The impact of these passenger flow conditions on the dynamic response of the soil around the tunnel is analyzed. Then, based on the principles of calculus, a calculus-based prediction model is established to consider the changing patterns of metro passenger flow. The model is applied to analyze the long-term settlement characteristics of Shanghai Metro Line 10. The results indicate that, under identical conditions, soil displacement and dynamic deviatoric stress around the tunnel increase with passenger capacity. The calculus prediction model aligns more closely with actual working conditions than the conventional model. The predicted tunnel settlement of Shanghai Metro Line 10 after 20 years of operation is approximately 37.07 mm, with most settlement occurring in the early stages, primarily due to cumulative plastic deformation of the soil.

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Analysis and Prediction of Long-Term Settlement of Metro Shield Tunnel in Saturated Sand

Cited by 15 publications

References 9 publications

A numerical method for calculating the long-term settlement of three-dimensional subgrade under numerous traffic loads

A numerical method for calculating the long-term settlement of three-dimensional subgrade under numerous traffic loads

Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period

Study on dynamic response and long-term settlement of silty soil around Shanghai metro tunnel

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