Settlement prediction model modeling method considering data timeliness

A prediction model and modeling method technology, applied in the field of surveying and mapping, can solve problems such as unreasonable random models, achieve the effect of strengthening reliability and improving prediction accuracy

Pending Publication Date: 2022-05-10
SOUTHEAST UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Technical problem: In view of the deficiencies of the prior art, the present invention proposes a settlement prediction model modeling method that takes into account the timeliness of data, which is used to solve the unreasonable defect of the random model used to predict post-construction settlement in actual civil engineering applications

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Settlement prediction model modeling method considering data timeliness
  • Settlement prediction model modeling method considering data timeliness
  • Settlement prediction model modeling method considering data timeliness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] 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.

[0037] During the construction of the project, the hyperbolic model is used to predict the settlement, and the model expression is:

[0038]

[0039] Among them, S t , t are the settlement amount at any time and the corresponding time; α, β are the unknown coefficients of the model.

[0040] Let, y=f 1 (S t )=1 / S t , f 2 (t)=1 / t, F=[1 f 2 (t)], The linear model equation can be obtained as:

[0041] y=FA

[0042] The settlement observation data of a certain settlement observation point of the project selected for the rapid settlement stage 1-4 are as follows

[0043]

[0044] Take n=3, m=4, and use the data column error equation of the first three periods as:

[0045] v 1 =[1 0.00556]A+0.0979

[0046] v 2 =[1 0.00549]A+0.0890

[0047] v 3 =[1 0....

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a settlement prediction model modeling method considering data timeliness. The method comprises the following steps: (1) constructing a linear settlement prediction model taking a function of time t as an independent variable; (2) obtaining a coefficient vector estimated value and a weight matrix W (n) of the prediction model by using a least square method based on settlement observation data in the first n periods; (3) establishing a prediction model error equation for settlement observation data in the mth (m > n) period; (4) establishing a prediction model virtual error equation by utilizing a coefficient vector estimation value; introducing a weight reduction coefficient k, and correcting the weight matrix W (m-1) into W '(m-1); (5) simultaneously establishing the error equations in the steps (3) and (4), and calculating to obtain an updated coefficient vector estimated value and a weight matrix W (m) of the coefficient vector estimated value; and (6) continuously increasing settlement observation data, and repeating the steps (3), (4) and (5) to realize synchronous updating of the settlement prediction model along with engineering progress.

Description

technical field [0001] The invention belongs to the field of surveying and mapping, and relates to a settlement prediction model modeling method in consideration of data timeliness. Background technique [0002] After the completion of the project, the settlement caused by the consolidation effect of the soil and changes in other factors is called the post-construction settlement. Accurate prediction of post-construction settlement can provide an important reference for engineering safety assessment and maintenance program design. For engineering projects requiring long-term maintenance such as tunnels, roads, and bridges, the importance of settlement prediction is more prominent. [0003] At present, post-construction settlement is mainly predicted by prediction models, and common models include hyperbolic method, exponential curve method, Hoshino method, etc. Regardless of the settlement prediction model, its stochastic model is generally determined based on the accuracy...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/08G06F17/16G06F17/18G06F17/12
CPCG06Q10/04G06Q50/08G06F17/16G06F17/18G06F17/12
Inventor 于先文郑一帆
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap