Neural network-based method for analyzing surface subsidence caused by metro excavation

A neural network and analysis method technology, applied in the field of surface subsidence analysis, can solve problems such as damage to surrounding buildings, ground subsidence, and damage to underground pipelines

Inactive Publication Date: 2016-10-12
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

When ground movement and surface deformation exceed a certain limit, accidents such as ground subsidence, foundation pit collapse, tunnel damage, surrounding building damage, and un...

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  • Neural network-based method for analyzing surface subsidence caused by metro excavation
  • Neural network-based method for analyzing surface subsidence caused by metro excavation
  • Neural network-based method for analyzing surface subsidence caused by metro excavation

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Embodiment Construction

[0031] In order to make the above objects, features and advantages of the present invention more obvious and comprehensible, the present invention will be further described in detail below in combination with relevant theories and specific implementation methods used.

[0032] The embodiment selects the project under construction. The 201 bid section of the Dalian Metro is the section project from Xi'an Road Station to Jiaotong University Station. The starting and ending mileage of the subway in this section is DK16+787.331~CK18+443.793, with a total length of 1656.462 meters. The shield tunneling method is used for construction. After exiting Xi’an Road Station, the plane line of the section goes south along the north-south direction, turns to the east-west direction through a curve with a radius of 300m, and then connects to Huanghe Road through a curve with a radius of 450m, and arrives at Jiaotong University Station. The vertical layout of the section is in the form of a "V...

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Abstract

The invention discloses a neural network-based method for analyzing surface subsidence caused by metro excavation. The method is characterized in that a relationship between a horizontal distance from an excavation face to a ground monitoring point and surface subsidence at the monitoring point is studied; training is carried out by taking rock and soil mechanics parameters of each existing metro as input values and taking surface subsidence quantities at detection points in different positions of the horizontal distance between the excavation face and the monitoring point as output values through applying a neural network; surface subsidence situations above other metros that are about to be constructed are analyzed by using the network after the training; and the method mainly comprises related data preparation as well as simulation process prediction result and accuracy check. According to the method, the surface subsidence quantities at the detection points can be effectively predicted according to the rock and soil mechanics parameters of each existing metro. The method can be widely used in a metro excavation process and provides measurement bases for ensuring safety of ground buildings and preventing non-normal subsidence.

Description

technical field [0001] The invention relates to a neural network-based analysis method for ground subsidence caused by subway excavation, in particular to a neural network prediction method for ground subsidence caused by subway excavation. Background technique [0002] In recent years, with the development of urban construction in our country, urban underground projects have developed rapidly, mainly including underground railways, street crossings, various municipal underground projects and civil air defense facilities. Underground engineering construction may cause stratum movement and lead to different degrees of settlement and displacement. Due to the complexity of construction technology, surrounding environment and rock-soil medium, even if the most advanced construction methods are used, the stratum movement caused by construction cannot be completely eliminated. . When ground movement and surface deformation exceed a certain limit, accidents such as ground subsiden...

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Application Information

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IPC IPC(8): G06F17/50G06N3/02
CPCG06F30/367G06N3/02
Inventor 谢宝琎
Owner LIAONING TECHNICAL UNIVERSITY
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