Influence of shield tunnel construction on ground surface settlement under the condition of upper-soft and lower-hard composite strata

Lv, Jianbing; Li, Xulong; Fu, Helin; Tang, Yong; Li, Zhanrong; Zhao, Hui

doi:10.21595/jve.2020.20967

Cited by 12 publications

(6 citation statements)

References 21 publications

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“…Lv et al used the shield tunnel project from Tongdewei Station to Shangbu Station of Guangzhou Metro Line 8 as the research background and used finite element simulation and field monitoring research methods to analyze the influence of shield tunnel construction on ground settlement under different conditions. e research results can provide a reference value for similar shield construction in the upper soft and lower hard composite stratum [2]. Jian et al proposed that the cooling capacity of the fan of the aircooled condenser (ACC) will be affected differently by exhaust gas recirculation and axial coupling in different areas.…”

Section: Related Workmentioning

confidence: 99%

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Research and Control of Underground Pressure Law of Coal Mining Face in Soft Rock Strata Based on Neural Network under the Background of Wireless Network Communication

Rong

Tong

2021

Mobile Information Systems

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Our country has a vast territory and rich resources, but it is a country with more coal, less oil, and poor gas. With the increase of our population, the development of society, and the more severe international situation, coal has become more important for our country’s economic development and energy. Security plays an irreplaceable role. Based on the neural network, this paper studies and controls the underground pressure law of the coal mine’s soft rock heading face, aiming at the safe and efficient mining of the first face and providing an experience for the next face. This paper mainly uses BP neural network learning algorithm and support pressure algorithm to measure and study the ground pressure law of coal mine soft rock heading face and establishes the ground pressure online monitoring system, which is used to analyze and summarize the ground pressure abnormal area during the mining of the working face, so as to provide the basis for safe mining of the working face. Through the field measured data, the initial pressure step and periodic pressure step at the upper, middle, and lower parts of the working face, the average working resistance of the support at the working face during pressure, and the dynamic load coefficient of the support are obtained. It is analyzed that the support in the middle of the working face has a large load and the pressure is obvious. The experimental results show that the initial support force of the whole working face is approximately normally distributed, the proportion of the initial support force in the range of 10–30 MPa accounts for more than 85% of the total statistics, and the frequency of the initial support force in the upper, middle, and lower stations at 10–25 MPa is 55%–65%.

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Section: Related Workmentioning

confidence: 99%

“…e Sigmoid function is currently the earliest and most widely used activation function in artificial neural network models. It maps the real number input to the interval [1,2], the Sigmoid function is a strictly single-increasing smooth function and has asymptotic characteristics [17], and its general form is as follows:…”

Section: Sigmoid Functionmentioning

confidence: 99%

Research and Control of Underground Pressure Law of Coal Mining Face in Soft Rock Strata Based on Neural Network under the Background of Wireless Network Communication

Rong

Tong

2021

Mobile Information Systems

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“…But the existing empirical or semi-empirical methods can hardly take into account the external factors affecting soil deformation comprehensively, making it difficult to predict surface settlement accurately. Numerical simulation methods are commonly used as research tools in tunnel excavation problems 4 . Nevertheless, the establishment of computational models for numerical simulation requires the support of a large number of soil parameters and construction data, in high requirement for operators and computers.…”

Section: Introductionmentioning

confidence: 99%

A novel combined intelligent algorithm prediction model for the tunnel surface settlement

Wang,

Dai,

Jia

et al. 2023

Sci Rep

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To ensure the safety and stability of the shield tunnel construction process, the ground settlement induced by the shield construction needs to be effectively predicted. In this paper, a prediction method combining empirical mode decomposition (EMD), chaotic adaptive sparrow search algorithm (CASSA), and extreme learning machine (ELM) is proposed. First, the EMD is used to decompose the settlement sequence into trend vectors and fluctuation vectors to fully extract the effective information of the sequence; Second, the sparrow search algorithm is improved by introducing Cubic chaotic mapping to initialize the population and adaptive factor to optimize the searcher’s position formula, and the chaotic adaptive sparrow search algorithm is proposed; Finally, the CASSA-ELM prediction model is constructed by using CASSA to find the optimal values of weights and thresholds in the extreme learning machine. The fluctuation components and trend components decomposed by EMD are predicted one by one, and the prediction results are superimposed and reconstructed to obtain the predicted final settlement. Taking a shield interval in Jiangsu, China as an example, the meta-heuristic algorithm-optimized ELM model improves the prediction accuracy by 10.70% compared with the traditional ELM model. The combined EMD-CASSA-ELM prediction model can greatly improve the accuracy and speed of surface settlement prediction, and provide a new means for safety monitoring in shield tunnel construction. Intelligent prediction methods can predict surface subsidence more automatically and quickly, becoming a new development trend.

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“…Combing with practical engineering, Chen et al [21] used empirical formula (assuming that the settlement curve above the tunnel is a Gaussian distribution curve) and finite element analysis to conduct reverse analysis to the ground settlement of the tunnel. Based on the shield tunnel project of Guangzhou Metro Line 8, Lv et al [22] investigated the settlement of shield construction in upper-soft and lower-hard strata by using the numerical simulation and the monitoring data of the project. They concluded that with the decrease of the height ratio of soft and hard rocks (soft rock height/hard rock height), the ground settlement decreased and the settlement trough became shallower.…”

Section: Introductionmentioning

confidence: 99%

Strata Subsidence Characteristics of Shield Tunneling in Coastal Soft Soil Area

Xiang¹,

Gao²,

Su³

et al. 2022

CEJ

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In order to study the subsidence characteristics caused by large diameter shield tunneling in coastal soft soil area, based on the project of North Oujiang shield tunnel in Wenzhou City, the displacement field, seepage field and stress field of surrounding rock during shield tunnel construction process under fluid-solid coupling were analyzed by using finite difference method. The results show that when the shield tunneling passes through the monitoring section of the tunnel, the surrounding rock in a certain range of this section above the tunnel will be uplifted. Shield tail grouting can effectively control the settlement of the ground, and the increasing range of the ground subsidence gradually decreases. With the advance of the shield the pore water pressure increases, and the pore water pressure in the soil layer will rise sharply due to the shield tail grouting. When the shield passes through the monitoring section of the tunnel, the strata stress above the tunnel increases due to uplift extrusion, and the strata stress below the tunnel decreases due to stress releasing. When the grouting at the tail of the shield is completed and gradually moves away from the monitoring section, the stress releasing results in the decrease of the stress in the surrounding stratum and shows a funnel-shaped form.

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Influence of shield tunnel construction on ground surface settlement under the condition of upper-soft and lower-hard composite strata

Cited by 12 publications

References 21 publications

Research and Control of Underground Pressure Law of Coal Mining Face in Soft Rock Strata Based on Neural Network under the Background of Wireless Network Communication

Research and Control of Underground Pressure Law of Coal Mining Face in Soft Rock Strata Based on Neural Network under the Background of Wireless Network Communication

A novel combined intelligent algorithm prediction model for the tunnel surface settlement

Strata Subsidence Characteristics of Shield Tunneling in Coastal Soft Soil Area

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