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
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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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