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Method for enhancing bridge health monitoring structural response and temperature data correlation convergence

A technology for bridge health monitoring and structural response, used in electrical digital data processing, special data processing applications, instruments, etc.

Active Publication Date: 2017-05-10
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

However, at present, there is insufficient research work on the influencing factors of structural response and temperature correlation and how to reduce the interference to obtain a more convergent correlation relationship at home and abroad.

Method used

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  • Method for enhancing bridge health monitoring structural response and temperature data correlation convergence
  • Method for enhancing bridge health monitoring structural response and temperature data correlation convergence
  • Method for enhancing bridge health monitoring structural response and temperature data correlation convergence

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Embodiment Construction

[0058] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0059] The method for enhancing bridge health monitoring system structural response and temperature correlation convergence of the present invention comprises the following steps:

[0060] Step 1: Obtain the temperature data of the health monitoring system and its corresponding structural response data in time;

[0061] Structure response data time series using f sr Indicates that the temperature data time series adopts x ij i=1,2,...,m,j=1,2,...n express. Among them, i represents the sensor number, and j represents the data length.

[0062] Step 2: Use the best-smooth data volatility reduction algorithm to smooth the monitoring data to obtain f sr,smooth , f temp,smooth .

[0063] Step 3: Use Fourier series to eliminate the time lag effect and reduce the impact of frequency differences on the correlation relationship between monitoring ...

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Abstract

The invention discloses a method for enhancing bridge health monitoring structural response and temperature data correlation convergence. The method comprises the steps that 1, bridge health monitoring system temperature data and corresponding structural response data in time are obtained; 2, a best-smooth algorithm is utilized for conducting smooth treatment on monitoring data; 3, the influence of a monitoring data time-lag effect on data correlation is eliminated by using a Fourier series theory, and meanwhile the dispersing action of frequency components of two data signals on a correlation relationship is reduced; 4, a multiple linear regression method is adopted for calculating an equivalent temperature and calculating a correlation coefficient between the structural response data and equivalent temperature data after time lag eliminating. Accordingly, the influence of factors such as data random fluctuation, the time-delay effect and the frequency components on the correlation coefficient can be effectively eliminated, and therefore convergence of correlation between the bridge health monitoring system structural response and the temperature data is enhanced, and great significance in bridge health monitoring early warning and evaluation is achieved.

Description

technical field [0001] The invention belongs to the field of correlation analysis and research of bridge health monitoring data, and relates to a method for analyzing the correlation of bridge structure response under the action of temperature. Background technique [0002] The data correlation analysis of the bridge health monitoring system is an important content of the bridge structure analysis and research, and the environmental load is one of the main loads of the bridge structure. Analysis of temperature load characteristics is an important task in the design, construction and operation of bridge structures. The structural response under temperature and its correlation analysis can get the internal law of the response under the temperature load, which is of great significance to the evaluation and early warning of bridge structures. The environmental load has a strong regularity. In the case of good weather, it generally presents a "sinusoidal" change trend. Many stru...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 丁幼亮刘兴旺赵瀚玮郑宏伟
Owner SOUTHEAST UNIV
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