Deformation of deep and large foundation pit in soft soil of Fuzhou Subway

Yang, Jianhui; Kong, Deyi

doi:10.1007/s12517-019-4918-7

Cited by 16 publications

(9 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the mainstream research directions of artificial intelligence for predicting the deformation of deep foundation-pit enclosure structures directly study the surface settlement generated during the construction [18][19][20][21]. However, many other factors, such as geological environment, stress, and settlement of structures, were not too much involved in the previous deformation prediction study.…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning-Based Deformation Prediction Method for Deep Foundation-Pit Enclosure Structure

Xu,

Zhao,

Jiang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

During the construction of deep foundation pits in subways, it is crucial to closely monitor the horizontal displacement of the pit enclosure to ensure stability and safety, and to reduce the risk of structural damage caused by pit deformations. With advancements in machine-learning (ML) techniques and correlation analysis in engineering, data-driven methods that combine ML with engineering monitoring data have become increasingly popular. These methods offer benefits such as high prediction accuracy, efficiency, and cost effectiveness. The main goal of this study was to develop a machine-learning method for predicting the enclosure deformation of deep foundation pits. This was achieved by analyzing the factors influencing deep foundation-pit enclosure deformation and incorporating historical cases and monitoring reports. The performance of each machine-learning prediction model was systematically analyzed and evaluated using K-Fold cross validation. The results revealed that the random forest model outperformed the other models. The result of the test data showed that the random forest model achieved an R2 of 0.9905, an MAE of 0.8572 mm, and an RMSE of 1.9119 mm. Feature importance analysis identified the depth of enclosure structure, water level, surface settlement, axial force, and exposure time as the most critical factors for accurate prediction. The depth of the enclosure structure had an especially significant impact on the prediction of enclosure deformation.

show abstract

Section: Introductionmentioning

confidence: 99%

Machine-Learning-Based Deformation Prediction Method for Deep Foundation-Pit Enclosure Structure

Xu,

Zhao,

Jiang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…D. Z. Gao, Y. C. Zhang et al [1][2][3][4] briefly described the engineering characteristics of soft soil and discussed some problems in the support of soft soil foundation pit; Y.K. Geng, W. Lu, L. Y. Zhao et al [4][5][6][7][8][9][10][11][12][13][14] analyzed the mechanism of large deformation of foundation pit in deep soft soil area and studied the influencing factors and control measures of deformation according to the characteristics of "space-time effect" of foundation pit engineering in soft soil area; X. C. Wu, Y. Q. Xu, et al [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] studied the design and construction of deep foundation pit support in deep soft soil and analyzed the reinforcement effect of passive zone and the stability of foundation pit.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Foundation Pit Support Selection and Design Problems in Deep Soft Soil Area

Zang,

Peng,

Wang

2024

Advances in Civil Engineering

View full text Add to dashboard Cite

The aim of this study is to address challenges encountered in the design of foundation pit support systems for soft soil areas, which include vague calculation methodologies, insufficiently representative parameters, and limited design engineer experience. To address these issues, we conducted a comprehensive review of successful and failed case studies and observed that actual working conditions significantly impact the calculation method of soil and water pressures as well as the selection of representative strength values. Furthermore, we found discrepancies between the current calculation methods for factors such as antiuplift and overall stability and practical applications. When calculating forces like sliding torque and antisliding moment, the choice between using saturated or buoyant gravity can have significant implications. Additionally, we observed that under high pit edge loads, such as 20 kPa, the maximum bending moment in cantilever piles can significantly increase, necessitating stringent limits on these loads. Therefore, in designing foundation pit support systems for soft soil areas, it is essential to consider practical site conditions and lessons learned from previous projects. By selecting appropriate calculation methods and parameters, we can ensure the accuracy and safety of these critical structures.

show abstract

“…In recent years, many scholars have analyzed the monitoring of different types of deep foundation pits in loess and soft soil areas. Clough, Long, Moormann C, and others carried out a classification study on the deformation of different foundation pits around the world and obtained the deformation law of foundation pits during construction [9][10][11]; Mei and Yang analyzed the deformation characteristics and influencing factors of foundation pits in Xi'an, Shanghai, Ningbo, Hangzhou, and other regions, respectively [12][13][14]; Zhou Yong, Ren Jianxi, Liu, Zhi, Li Zhe, Eibaz, and Wang Guohui studied and analyzed the monitoring data of pile displacement, surface settlement outside the pit, supporting axial force, and groundwater level during the excavation of the foundation pit [15][16][17][18][19][20][21]; Xu Jian and Zhang, respectively, compared numerical simulation and monitoring data of foundation pit excavation to analyze the deformation characteristics of foundation pit [22,23]; Zhang and Di studied the influence of the enclosure structure on ground settlement [24,25]; Farzi et al [26] conducted a systematic survey of the complex geotechnical characteristics of Ahwaz, and the displacement value during construction and excavation was checked and evaluated; Wang et al [27] analyzed the influence of soil structural changes on the horizontal displacement of the retaining structure wall, ground settlement, and adjacent subway tunnels during the excavation of the foundation pit; and Liu et al [28] analyzed the influence mechanism of rainfall on the deformation of the soft soil foundation pit support structure.…”

Section: Introductionmentioning

confidence: 99%

Research on Deformation Law of Deep Foundation Pit of Station in Core Region of Saturated Soft Loess Based on Monitoring

Wang

Song

Gong

2022

Advances in Civil Engineering

View full text Add to dashboard Cite

Saturated soft loess has a large pore structure, high compressibility, low strength, fluid plastic state, and poor engineering properties. It is still one of the key problems that engineering needs to solve. In order to study the influence of deep foundation pit excavation in the saturated soft loess area on the deformation of foundation pits, the deformation laws of ground settlement, enclosure structure, and supporting axial force were clarified based on the field tests on the deformation characteristics of deep foundation pits in areas with the high-water level in saturated soft loess, combined with geological conditions and on-site construction procedures. The results indicate the following: water supply and construction process were found to be the main factor in changing the surface settlement curve of deep foundation pits in saturated soft loess; increasing the construction speed of the pit bottom floor, inverted braces, floor frame beams, and sidewall frame beams to close the structure, which is conducive to restraining the deformation of the continuous underground wall and foundation pits in similar areas. In the initial stage of support layout, the axial force of steel support tends to increase too fast or even exceed the standard control value. Therefore, a reasonable preadding axial force is an effective means to control the deformation of the continuous underground wall and the axial force of the steel support. The current research results may provide a reference for constructing deep foundation pits in similar areas.

show abstract

Deformation of deep and large foundation pit in soft soil of Fuzhou Subway

Cited by 16 publications

References 7 publications

Machine-Learning-Based Deformation Prediction Method for Deep Foundation-Pit Enclosure Structure

Machine-Learning-Based Deformation Prediction Method for Deep Foundation-Pit Enclosure Structure

Analysis of Foundation Pit Support Selection and Design Problems in Deep Soft Soil Area

Research on Deformation Law of Deep Foundation Pit of Station in Core Region of Saturated Soft Loess Based on Monitoring

Contact Info

Product

Resources

About