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Efficient updating method for settlement prediction model

A technology of predictive model and update method, which is applied in the field of surveying and mapping, can solve problems such as low efficiency and strong dependence on historical data, and achieve the effects of simple calculation, reduced data storage, and low dependence

Active Publication Date: 2021-08-13
SOUTHEAST UNIV
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Problems solved by technology

[0005] Technical problem: Aiming at the deficiencies of the prior art, the present invention proposes a method for efficiently updating the settlement prediction model, which is used to solve the problems of low efficiency and strong dependence on historical data in the actual civil engineering application.

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  • Efficient updating method for settlement prediction model
  • Efficient updating method for settlement prediction model
  • Efficient updating method for settlement prediction model

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Embodiment Construction

[0057] The present invention is applicable to a variety of settlement prediction models. The hyperbolic model is taken as an example below to describe the present invention in combination with actual engineering.

[0058] In a bridge construction project, the hyperbolic model is used to predict the settlement, and the model expression is:

[0059]

[0060] Among them, S t , t are the settlement amount at any time and the corresponding time (time zero is set when the main body of the project is completed); α, β are unknown parameters of the model.

[0061] Let y=t / S t , F=[1t], The linear model equation can be obtained as:

[0062] y=FA

[0063] The observation period of this project is about seven days. The settlement observation data from the 1st to 49th periods after the erection of the girders are used for model fitting. All data are equal-weighted, and the linear model and valuation weight matrix are obtained as follows:

[0064]

[0065]

[0066] The settle...

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Abstract

The invention discloses an efficient updating method for a settlement prediction model, and belongs to the field of surveying and mapping. The method comprises the following steps of (1) carrying out linear processing on a nonlinear settlement prediction model according to the characteristics, and obtaining a linear settlement model which can be used for regression; (2) according to the minimum settlement data volume n required by modeling, taking the settlement observation data in the first n periods to fit a model, and obtaining an initial parameter vector estimated value and an initial correlation coefficient gamma (n) of the prediction model; (3) obtaining an updated parameter vector estimated value based on the parameter vector estimated value fitted by the settlement observation data in the previous n periods and the newly added settlement observation data in the (n+1)-th period; (4) iteratively calculating a correlation coefficient gamma (n+1) of the updated model based on the reserved parameters before updating for evaluating the updated model; and (5) along with the project progress, continuously increasing the settlement observation data, and repeating the steps (3) and (4) to synchronously realize the iterative updating of the settlement prediction model.

Description

technical field [0001] The invention belongs to the field of surveying and mapping, in particular to a method for efficiently updating a settlement prediction model. Background technique [0002] Uneven settlement is one of the main causes of structural damage such as cracking and collapse of buildings, which seriously affects its service performance and threatens its safety and stability. Settlement prediction is a necessary work in civil engineering, and it is also the main basis for engineering foundation treatment, and its prediction results are directly related to engineering results. The settlement prediction is divided into two steps. First, the settlement prediction model is established using the actual settlement data of the project, and then the post-construction settlement is predicted by the settlement prediction model. With the progress of the project, the settlement prediction model needs to be continuously updated to ensure the quality of the prediction. For ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/13
CPCG06F30/20G06F30/13
Inventor 于先文郑一帆
Owner SOUTHEAST UNIV
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