Seismic oscillation record selection method based on clustering analysis

A technology of cluster analysis and ground motion, applied in seismic signal recording, seismic signal processing, genetic model, etc., can solve the problem that the characteristics of ground motion record cannot be objectively reflected, and achieve the effect of good statistical properties

Inactive Publication Date: 2021-12-14
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0003] The existing classification methods mainly rely on the magnitude, distance, and site conditions for preliminary selection of earthquake records, and the boundaries between the categories need to be given in advance based on expert experience, which cannot objectively reflect the characteristics of the earthquake records themselves.

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  • Seismic oscillation record selection method based on clustering analysis
  • Seismic oscillation record selection method based on clustering analysis
  • Seismic oscillation record selection method based on clustering analysis

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Embodiment Construction

[0026] Embodiments of the present invention will be disclosed in the following diagrams. For the sake of clarity, many practical details will be described together in the following description. It should be understood, however, that these practical details should not be used to limit the invention. That is, in some embodiments of the invention, these practical details are not necessary. In addition, for the sake of simplifying the drawings, some well-known and commonly used structures and components will be shown in a simple schematic manner in the drawings.

[0027] ginseng figure 1 As shown, the present embodiment provides a method for selecting earthquake motion records based on cluster analysis, including the following steps:

[0028] Step S1, selecting ground motion records based on the strong motion database, and undergoing reasonable baseline offset correction and filtering processing;

[0029] Step S2, select a wider band range of magnitude and epicentral distance, ...

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Abstract

The invention relates to a seismic oscillation record selection method based on clustering analysis. The method comprises the following steps: 1, selecting seismic oscillation records based on a strong earthquake database; 2, selecting an earthquake magnitude and epicentral distance strip range, and giving specific earthquake information of each seismic oscillation record; 3, according to a fuzzy C-mean value clustering algorithm, taking the mean value of the magnitude and the epicentral distance of each seismic oscillation record as a clustering center, repeatedly modifying the clustering center and a data membership degree through an iteration process, and giving a preliminary trial calculation clustering analysis result; 4, introducing a simulated annealing algorithm to converge to global optimal clustering analysis; and 5, on the basis of carrying out clustering analysis according to the magnitude and the epicentral distance, giving a response spectrum curve of each group of seismic oscillation records under different site category conditions in combination with the soil layer shear wave velocity and the site covering soil layer thickness. According to the method, adaptive classification of the seismic oscillation record database is realized, and technical support is provided for subsequent dynamic time history analysis.

Description

technical field [0001] The invention belongs to the technical field of earthquake engineering and disaster prevention and reduction engineering, and in particular relates to a method for selecting earthquake records based on cluster analysis. Background technique [0002] In the field of earthquake engineering, with the continuous development of seismic observation technology and the increasing number of observation stations, there are more and more earthquake records databases around the world. How to reasonably select earthquake records has become the key to performance-based seismic design. Since earthquakes occur randomly in time and space, with the gradual enrichment of a large amount of source information, site information, fault types, and earthquake occurrence time, in order to explore the physical mechanism of earthquake occurrence and propagation, dig deeper into the seismic record data The correlation between them requires the use of big data methods to select ear...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/24G01V1/28G01V1/30G06K9/62G06N3/12
CPCG01V1/24G01V1/28G01V1/30G06N3/126G06F18/23213
Inventor 刘亭亭吕大刚
Owner JIANGSU UNIV OF SCI & TECH
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