Analysis of Neural Network Models in Prediction of Ground Surface Settlement around Deep Foundation Pit

Based on the deep foundation pit project of Laoguancun station of Wuhan rail transit line 16 and according to the engineering characteristics of the construction conditions and the site surrounding the environment, the method of combining field monitoring and finite element numerical simulation is adopted to analyze the law of stress and deformation of the deep foundation pit during excavation and support construction; it includes the horizontal displacement of the underground diaphragm wall, supporting axial force, and the ground surface settlement, which can be compared with measured data. Finally, some suggestions for monitoring and construction of the deep foundation pit in the subway station have been put forward and have certain reference value and practical guiding significance for the design and construction of similar engineering projects. The deformation monitoring of the retaining structure at the middle of the long side of the foundation pit should be strengthened during the construction process.

Download Full-text

Numerical Simulation of Ground Surface Settlement Induced by Open-Cut Subway Station

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.522-524.1689 ◽

2014 ◽

Vol 522-524 ◽

pp. 1689-1692

Author(s):

Yan Hui Guo ◽

Ke Peng Hou

Keyword(s):

Optimization Design ◽

Three Dimensional ◽

Ground Surface ◽

Surface Settlement ◽

Subway Station ◽

Structure Stability ◽

Deep Foundation ◽

Foundation Pit ◽

Ground Surface Settlement ◽

Survey Results

Ground surface settlement induced by open-cut subway station has important implications for construction safety. Based on a subway station background of the line 3 west extension engineering of kunming metro line co.LTD. On the basis of geological survey results and indoor geotechnical mechanics experiment, the 3D geological model was established by three-dimensional finite difference method FLAC3D. Ground surface settlement Law and Retaining structure stability induced by subway station construction was analyzed. The analysis results provides a reference for structure optimization design and scientific construction of similar deep foundation pit engineering.

Download Full-text

A Case Study on Field Monitoring Analysis of Deep Foundation Pit in Soft Soils

Advances in Civil Engineering ◽

10.1155/2019/9342341 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Xiaoshuang Zhang ◽

Xiuchuan Zhang ◽

Yunshan Han

Keyword(s):

Lateral Displacement ◽

Ground Surface ◽

Field Monitoring ◽

Diaphragm Wall ◽

Deep Foundation ◽

Foundation Pit ◽

Deep Foundation Pit ◽

Ground Surface Settlement ◽

Maximum Lateral Displacement

Field monitoring in the process of excavation of foundation pit is an important measure to reduce the risk. This paper describes a case study of the filed monitoring data during the process of deep foundation pit excavation in soft soil areas. The displacements of the diaphragm wall top were analysed and found that the horizontal displacement showed the convex shape, while the vertical displacement showed the concave shape. Based on the field monitoring data, the deformation mode of lateral displacement of the diaphragm wall belonged to the composite mode. The relationship between maximum lateral displacement and excavation depth showed a strong linear correlation. The horizontal displacements of bracing pillar decreased with the increasing of bracing stiffness, while the effect of bracing stiffness on vertical displacements of bracing pillar could be ignored. The settlement profile computed using the method of Hsieh and Ou was in good agreement with the field observations and better described the development trend of the ground surface settlement. The ratio of the maximum ground surface settlement (δvm) to the maximum lateral displacement of the diaphragm wall (δhm) was in the range of 0.74∼0.88, belonging to the range of 0.5∼1.0 proposed by Hsieh and Ou. This paper provides a reference basis and related guidance for similar projects.

Download Full-text

Prediction method for the deformation of deep foundation pit based on neural network algorithm optimized by particle swarm

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE) ◽

10.1109/tmee.2011.6199470 ◽

2011 ◽

Author(s):

Guojin Tan ◽

Hanbing Liu ◽

Yongchun Cheng ◽

Bin Liu ◽

Yin Zhang

Keyword(s):

Neural Network ◽

Particle Swarm ◽

Prediction Method ◽

Deep Foundation ◽

Foundation Pit ◽

Deep Foundation Pit ◽

Network Algorithm ◽

Neural Network Algorithm

Download Full-text

Displacement Monitoring during the Excavation and Support of Deep Foundation Pit in Complex Environment

Advances in Civil Engineering ◽

10.1155/2021/5715306 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Zhouqiang Li

Keyword(s):

Axial Force ◽

Time History ◽

Horizontal Displacement ◽

Underground Water ◽

Surface Settlement ◽

Deep Foundation ◽

Foundation Pit ◽

Deep Foundation Pit ◽

Anchor Cable ◽

The North

Taking a super large deep foundation pit project as an example, the horizontal displacement of crown beam and driveway, surface settlement, axial force of anchor cable, and underground water level in the construction process of the foundation pit are dynamically monitored and analyzed. The excavation deformation rule of the deep foundation pit and the influence of excavation on surrounding buildings are analyzed. The results show that, with the excavation of the foundation pit, the crown beam and driveway of the foundation pit incline towards the direction of the pit and eventually tend to be stable. The variation of axial force of the prestressed anchor cable in the first layer of the foundation pit is basically consistent with the variation of horizontal displacement time history. The variation trend of the groundwater level at each side of the foundation pit is different but tends to be stable in a short time. In the whole monitoring period, the cumulative settlement value of each area of the foundation pit is within the controllable range, but the surface settlement of the north side of the foundation pit and a surrounding building has not reached stability, so it is suggested to extend the monitoring time of settlement in the relevant area.

Download Full-text

Numerical Simulation of Soil Displacement and Settlement in Deep Foundation Pit Excavations Near Water

Geofluids ◽

10.1155/2021/5559009 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14

Author(s):

Zhongjing Hu ◽

Qingbiao Wang ◽

Shuo Yang ◽

Zhenyue Shi ◽

Bo Liu ◽

...

Keyword(s):

Numerical Simulation ◽

Large Scale ◽

Yellow River ◽

Soft Soil ◽

Ground Surface ◽

Horizontal Displacement ◽

Simulation Method ◽

Deep Foundation ◽

Foundation Pit ◽

Deep Foundation Pit

Advancing urbanization in China requires large-scale high-rise construction and underground transportation projects. Consequently, there is an increasing number of deep foundation pits adjacent to water bodies, and accidents occur frequently. This study uses a numerical simulation method to study the stability of the deep foundation pit near water based on the Biot three-dimensional seepage-stress coupling model, with the open-cut section on the south bank of the Jinan Yellow River Tunnel Project as the engineering field test. This indicates the following: (1) the maximum horizontal displacement of the diaphragm wall occurred in the fifth excavation stage, and a horizontal brace effectively controlled the inward horizontal displacement of the foundation pit; (2) considering the effect of seepage in the soft soil foundation, the maximum vertical displacement of the ground surface at each excavation stage occurred adjacent to the underground continuous wall. As the depth of the foundation pit increased, the vertical surface settlement decreases gradually in the direction away from the excavation face; (3) considering the seepage conditions, within each interval of excavation of the foundation pit, the horizontal displacement of the continuous underground wall and ground settlement declined; and (4) the numerical simulation and field monitoring data were in good agreement. Under the conditions of accurate model simplification and parameter selection, numerical simulations can adequately forecast conditions of the actual project.

Download Full-text