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Study On Deformation Dynamic Controlling Of Retaining Structure In Deep Foundation Pit Based On Monitoring Information

Posted on:2007-10-21Degree:MasterType:Thesis
Country:ChinaCandidate:A G LiFull Text:PDF
GTID:2132360182488558Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
In recent years our country deep foundation pit development made the huge progress, the deep foundation pit project not only has itself to be safe and the stable question, moreover also has the periphery stratum displacement which the excavated soil causes but to endanger neighboring building, underground piping system and city municipal administration facility question and so on, therefore effectively controlled the foundation pit to distort by guaranteed the project with environment safety, already became in the foundation pit design, the construction, the monitor the important content.The deformation dynamic controlling of Retaining structure in deep foundation pit is studied based on finite element, mixed grey neural network and fuzzy mathematics, educes the standard of deformation dynamic controlling based on the analysis result of finite element. According to gray system GM(1,1) the model and the BP nerve network model theory and the method, this article analyzes the former insufficiency of forecast application in geological and geotechnical project, makes up GM(1,1) using the back propagation nerve network model, mixed grey neural network applies in the deep foundation pit piling deformation forecast, comparing with the result of GM(1,1) model forecast. The computed result indicated that, this method effectively has overcome GM (1,1) the model malpractice, and has good effect to the deep foundation pit deformation analysis.Some factors which affect the foundation pit construction deformation are researched. According to the five kind initiative controlling measures that experts produce, based on fuzzy inference systems toolbox for Matlab6.5, prediction deformation of mixed grey neural network model to the support in deep Foundation, and the same day deformation speed, the adjustment to construction parameters is carried on. After the adjustment of pit excavated for building foundation construction parameter using the ANSYS software that has the solution, the post-processing function, the element live and death function and the APDL language dynamically simulate the foundation pit to excavated, analyses the deformation and stress of the deep foundation pit, confirms deformation control effect and educes the standard of deformation controlling again.Freezing and role-pole method is used in Runyang Bridge Nancha South deep foundation pit firstly in China. The bridge belongs to the extra large type foundation pit. Based on the monitor information of deep excavation, prediction of deformation, deformation control measures and the finite element computation are carried on. The result show that after the adjustment construction parameter deformation of the support in deep foundation pit tends to stably, achieves the deformation control the goal.
Keywords/Search Tags:Deep foundation pit project, Deformation predict, Deformation control, Gray system, mixed grey neural network, Fuzzy mathematics, Finite element
PDF Full Text Request
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