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Rapid sub-grade settlement predicting method based on static sounding and BP (Back Propagation) neural network

A BP neural network, static penetration technology, applied in the field of foundation soil survey, infrastructure engineering, construction and other directions, can solve the problem that the stress state of the formation cannot be well considered, the influence of drilling sampling disturbance is also great, and the prediction results It is difficult to be accurate and other problems, so as to achieve the effect of simple and easy forecasting method, good forecasting effect, saving survey time and survey cost

Active Publication Date: 2012-04-25
CHINA RAILWAY DESIGN GRP CO LTD
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Problems solved by technology

The practical calculation method has the characteristics of simplicity and practicality, and is the mainstream method in engineering design at present. The disadvantage of this method is that the calculation parameters are mainly determined according to laboratory tests such as compression tests. The influence of the stress state, and the disturbance of drilling sampling also has a great influence on it, especially for the soil with strong structure
The numerical calculation method is relatively perfect in theory, and can consider soil nonlinearity, elastoplasticity, heterogeneity, and stress state, etc., but the biggest difficulty lies in the reasonable establishment of the soil constitutive model, and its calculation parameters are also derived from laboratory experiments. It is difficult to overcome the influence of sampling disturbance, etc. At the same time, due to the large error of the constitutive model and parameters, the final prediction result is also difficult to be accurate

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  • Rapid sub-grade settlement predicting method based on static sounding and BP (Back Propagation) neural network
  • Rapid sub-grade settlement predicting method based on static sounding and BP (Back Propagation) neural network
  • Rapid sub-grade settlement predicting method based on static sounding and BP (Back Propagation) neural network

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[0020] The technical solution of the present invention will be further described in conjunction with the accompanying drawings.

[0021] figure 1 Show the basic flow of the rapid prediction method of subgrade settlement based on static penetration and BP neural network, figure 2 Show the basic structure of BP neural network model. As shown in the figure, the rapid subgrade settlement prediction method based on static penetrating sounding and BP neural network involved in the present invention includes the following steps: obtaining a predicted site data sample S1, collecting similar site data samples S2, establishing a BP neural network model S3, The BP neural network is trained and tested S4, and the subgrade settlement is predicted S5.

[0022] S1- Obtain data samples of the predicted site: Obtain the static penetration test results of the predicted site and the magnitude of the additional stress on the site, and organize the data samples according to the specified data f...

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Abstract

The invention discloses a rapid sub-grade settlement predicting method based on a static sounding and a BP (Back Propagation) neural network, comprising the following steps of: obtaining a predicted field data sample, collecting a similar field data sample, establishing a BP neural network model, training and test the BP neural network model, and predicting a sub-grade settlement. A similar field static sounding test result, a field subsidiary stress and sub-grade settlement observation data are obtained as BP neural network training and test data samples for training the BP neural network repeatedly, when a difference between a prediction value and actual measurement data is smaller than a prescriptive standard, the predicted field data sample is input into the BP neural network model subjected to training, so as to obtain a sub-grade settlement prediction value. According to the invention, sub-grade settlement and deformation can be predicted scientifically and rapidly with an on-site static sounding test and a BP neural network simulation experiment, so that the rapid sub-grade settlement predicting method disclosed by the invention can be used for predicting various sub-grade foundation settlement and deformation in the civil engineering field.

Description

technical field [0001] The invention relates to the research on foundation settlement and deformation in civil engineering, in particular to a method for predicting subgrade settlement and deformation based on static penetration and BP neural network technology. Background technique [0002] Prediction of subgrade settlement and deformation is an important content in geotechnical engineering design. The existing roadbed settlement prediction mainly uses the engineering practical calculation method represented by the layered sum method and the finite element numerical calculation method considering the complex constitutive model of the soil to predict the subgrade settlement. The practical calculation method has the characteristics of simplicity and practicality, and is the mainstream method in engineering design at present. The disadvantage of this method is that the calculation parameters are mainly determined according to laboratory tests such as compression tests. The in...

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Application Information

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IPC IPC(8): E02D1/00E02D1/08
Inventor 李鹏李国和许再良陈新军叶启民
Owner CHINA RAILWAY DESIGN GRP CO LTD
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