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Deep foundation pit excavation surface subsidence prediction method based on BAS-BP model

A BAS-BP, surface subsidence technology, applied in forecasting, neural learning methods, biological neural network models, etc., can solve problems such as large differences in calculation results, achieve good robustness and stability, improve forecasting accuracy, adapt to strong effect

Pending Publication Date: 2020-12-04
LIAONING TECHNICAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it has high requirements for the selection of different types of soil parameters,

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  • Deep foundation pit excavation surface subsidence prediction method based on BAS-BP model
  • Deep foundation pit excavation surface subsidence prediction method based on BAS-BP model
  • Deep foundation pit excavation surface subsidence prediction method based on BAS-BP model

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0047] According to an embodiment of the present invention, a method for predicting surface settlement of deep foundation pit excavation based on a BAS-BP model is provided.

[0048] Such as figure 1 As shown, the method for predicting surface settlement of deep foundation pit excavation based on the BAS-BP model according to an embodiment of the present invention includes the following steps:

[0049] Step S1, pre-establishing the BAS-BP model as a deep foundation pit excavation surface set...

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Abstract

The invention discloses a deep foundation pit excavation surface subsidence prediction method based on a BAS-BP model, and relates to the technical field of deep foundation pit excavation surface subsidence prediction, and the method comprises the following steps: building the BAS-BP model in advance as a deep foundation pit excavation surface subsidence prediction model, and carrying out the training, and obtaining building foundation pit engineering point data information to serve as input of a trained BAS-BP model for prediction, and obtaining a prediction result for visual presentation toserve as deep foundation pit excavation surface subsidence prediction. According to the method, the prediction precision of deep foundation pit excavation surface subsidence prediction is improved, good robustness and stability are achieved, the prediction precision can meet the monitoring requirement of the surrounding surface subsidence effect caused by foundation pit excavation, and the adaptability is high.

Description

technical field [0001] The invention relates to the technical field of surface settlement prediction for deep foundation pit excavation, in particular to a method for predicting surface settlement of deep foundation pit excavation based on a BAS-BP model. Background technique [0002] With the rapid development of my country's economy, the development of super high-rise buildings and the excavation of subway stations have a greater impact on people, and the number of deep foundation pit projects brought about by this is increasing, and it is moving towards deeper and larger , more complex direction. Since most of the deep foundation pit projects are constructed in the city, the deformation of the foundation pit enclosure structure and the impact on the surrounding environment cannot be ignored. Especially in soft soil areas, the soil has the characteristics of high water content, low strength, low permeability, etc., and the engineering geological and hydrogeological conditi...

Claims

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Application Information

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IPC IPC(8): G06F30/13G06F30/27G06N3/04G06N3/08G06Q10/04
CPCG06F30/13G06F30/27G06N3/084G06Q10/04G06N3/044
Inventor 黄超杨帆
Owner LIAONING TECHNICAL UNIVERSITY
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