Deformation characteristics and failure evolution process of the existing metro station under unilateral deep excavation

Zhou, Feicong; Zhou, Ping; Li, Jinyi; Lin, Jeffrey S.; Ge, Tiancheng; Deng, Shumi; Ren, Ren; Wang, Zhijie

doi:10.1016/j.engfailanal.2021.105870

Cited by 16 publications

(8 citation statements)

References 26 publications

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“…In Figure 9 to 11, D represents the distance from the location of the maximum settlement point to the edge of the original excavation pit, while H represents the depth of the new excavation pit. According to Figures 9,10,and 11, it is evident that the maximum settlement point on the ground occurs during the excavation phase of the current foundation pit. After the excavation and installation of support, this settlement point is typically located at a distance approximately equal to the depth of the foundation pit.…”

Section: Position Change Of Maximum Settlement Of Two Foundation Pits...mentioning

confidence: 97%

“…Severe ground settlement can result in road collapse, posing a significant threat to human lives and property [1]. Scholars have extensively researched the excavation of individual foundation pits using theoretical analysis [2], model experiments [3], numerical simulations [4][5][6][7], and field monitoring [8][9][10][11], yielding fruitful outcomes [12][13][14][15][16]. These studies indicate that during foundation pit excavation, the movement of the inner soil mass alters the active and passive earth pressures on the inner and outer sides of the retaining structure.…”

Section: Introductionmentioning

confidence: 99%

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Ground settlement and estimation of maximum settlement value in adjacent foundation pit excavation

2024

Archives of Civil Engineering

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The excavation of adjacent pits following the initial foundation pit excavation can significantly influence ground settlement. Using a foundation pit excavation project in Changzhou as a prototype, this study employed the numerical simulation method in conjunction with the HSS model to analyze the settlement deformation characteristics of the original excavation and compare them with the recorded monitoring values. In this study, the analysis focused on the ground settlement between two pits by varying the spacing between them at different excavation depths. The findings revealed that the ground settlement does not exhibit a significant increase when the new pit is excavated at a shallow depth. However, it rapidly increases when the excavation depth of the new pit surpasses that of the existing pit. Furthermore, an increase in the distance between the two pits causes the maximum settlement position to shift towards the edge of the new pit. The maximum ground settlement is found to have a linear relationship with both the maximum horizontal displacement of the two pits and the spacing between them.

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Section: Position Change Of Maximum Settlement Of Two Foundation Pits...mentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Ground settlement and estimation of maximum settlement value in adjacent foundation pit excavation

2024

Archives of Civil Engineering

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“…The central idea of the foundation pit design method is to select a feasible, economically reasonable support structure based on engineering characteristics such as surrounding constraints, engineering geology, and hydrogeological conditions [8][9][10].…”

Section: Characteristics Of Foundation Pitmentioning

confidence: 99%

Study on Optimization Scheme of Deep Foundation Fit Support Under Unbalanced Force of Deep Soft Soil Site in Riverfront Section

Hu,

Zeng,

Liang

et al. 2023

Advances in Transdisciplinary Engineering

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The foundation pit supporting design in deep soft soil sites is often affected by unbalanced soil pressure, so it is necessary to take appropriate supporting measures to ensure the safety of construction. Based on the deep foundation pit project of a riverfront section in the Nansha District of Guangzhou, this paper studies the optimization of deep foundation pit support design under the condition of unbalanced soil pressure in a deep soft soil site. The project is located in an area of deep soft soil, with one side facing the road and the other facing the river. Through the comprehensive analysis of the site engineering and hydrogeology and other aspects, carried out the deep foundation pit supporting structure optimization research, and compared with the three-dimensional numerical simulation results and field monitoring data. Finally, a supporting structure system combining long and short piles with supports or large-diameter anchor cables is selected to coordinate the deformation caused by the unbalance of earth pressure on the riverfront side of the foundation pit. The comparison and analysis of the monitoring data and calculation results show that the selection of the support scheme is reasonable, can meet the safety requirements of the foundation pit and surrounding environment, and has economic performance.

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“…Second, these models are built based on specific experimental conditions, so the ability to generalize to other working conditions is poor. Therefore, the above models based on the model-driven method are not suitable for tunnel engineering with complex working conditions [ 19 ]. The data-driven evaluation function can handle the nonlinear relationship between the high-dimensional parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Driving Parameters of the Jumbo Drill Efficiently with XGBoost-DRWIACO Framework: Applied to Increase the Feed Speed

Guo,

Lin,

et al. 2024

Sensors

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The jumbo drill is a commonly used driving equipment in tunnel engineering. One of the key decision-making issues for reducing tunnel construction costs is to optimize the main driving parameters to increase the feed speed of the jumbo drill. The optimization of the driving parameters is supposed to meet the requirements of high reliability and efficiency due to the high risk and complex working conditions in tunnel engineering. The flaws of the existing optimization algorithms for driving parameter optimization lie in the low accuracy of the evaluation functions under complex working conditions and the low efficiency of the algorithms. To address the above problems, a driving parameter optimization method based on the XGBoost-DRWIACO framework with high accuracy and efficiency is proposed. A data-driven prediction model for feed speed based on XGBoost is established as the evaluation function, which has high accuracy under complex working conditions and ensures the high reliability of the optimized results. Meanwhile, an improved ant colony algorithm based on dimension reduction while iterating strategy (DRWIACO) is proposed. DRWIACO is supposed to improve efficiency by resolving inefficient iterations of the ant colony algorithm (ACO), which is manifested as falling into local optimum, converging slowly and converging with a slight fluctuation in a certain dimension. Experimental results show that the error by the proposed framework is less than 10%, and the efficiency is increased by over 30% compared with the comparison methods, which meets the requirements of high reliability and efficiency for tunnel construction. More importantly, the construction cost is reduced by 19% compared with the actual feed speed, which improves the economic benefits.

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Deformation characteristics and failure evolution process of the existing metro station under unilateral deep excavation

Cited by 16 publications

References 26 publications

Ground settlement and estimation of maximum settlement value in adjacent foundation pit excavation

Ground settlement and estimation of maximum settlement value in adjacent foundation pit excavation

Study on Optimization Scheme of Deep Foundation Fit Support Under Unbalanced Force of Deep Soft Soil Site in Riverfront Section

Optimizing Driving Parameters of the Jumbo Drill Efficiently with XGBoost-DRWIACO Framework: Applied to Increase the Feed Speed

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