Structural damage early-warning method based on local characteristic scale decomposition and waveform index

A technology of scale decomposition and local features, which is applied in the analysis of materials, the analysis of solids using sound waves/ultrasonic waves/infrasonic waves, and the use of sound waves/ultrasonic waves/infrasonic waves for material analysis. Long-term problems, to achieve the effect of overcoming the large number of invalid components, improving the accuracy of early warning, and strong operability

Inactive Publication Date: 2018-07-17
QINGDAO TECHNOLOGICAL UNIVERSITY
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Problems solved by technology

However, both empirical mode decomposition and local mean decomposition have limitations such as obvious endpoint effects, long operation time, and mode aliasing.

Method used

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  • Structural damage early-warning method based on local characteristic scale decomposition and waveform index
  • Structural damage early-warning method based on local characteristic scale decomposition and waveform index
  • Structural damage early-warning method based on local characteristic scale decomposition and waveform index

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Embodiment Construction

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] An embodiment of the present invention provides a structural damage early warning method based on local characteristic scale decomposition and waveform index, including the following steps:

[0026] Step 1: Obtain the structural acceleration response signal x(t).

[0027] Step 2: Decompose the acceleration response signal x(t) through the local feature scale decomposition technique to get:

[0028]

[0029] In formula (1), p is the number of intrinsic scale components, ISC i (t) is the i-th order intrinsic scale componen...

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Abstract

The invention provides a structural damage early-warning method based on local characteristic scale decomposition and a waveform index, and belongs to the field of structural damage identification. The method includes the steps of decomposing an acceleration response signal into multiple intrinsic scale components by using a local characteristic scale decomposition technology, selecting the intrinsic scale components which are sensitive to structural damage, calculating the waveform index by referring to the definition of the waveform index in a signal waveform processing technology, constructing a structural damage early-warning index by using the variation of the intrinsic scale component waveform index before and after the structural damage, and conducting structural damage early-warning. The method can effectively overcome the problem of many invalid components, endpoint effect and mode aliasing existing in empirical mode decomposition and local mean decomposition, the operabilityis good, and the early-warning accuracy is improved.

Description

technical field [0001] The invention belongs to the field of structural damage identification, in particular to a structural damage early warning method based on local characteristic scale decomposition and waveform index. Background technique [0002] Civil engineering structures will be damaged to varying degrees during use, and these damages will lead to a decrease in the safety of the structure. If effective repair or reinforcement measures are not taken in time, the structure will eventually be damaged, endangering people's lives and property safety. Therefore, it is necessary to conduct structural damage identification research. At present, many structural damage identification methods have been researched and proposed, among which, the structural damage identification method based on vibration response analysis is considered to be a method with broad application prospects. [0003] In recent years, time-frequency analysis methods (empirical mode decomposition and loc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/04
CPCG01N29/048G01N2291/023
Inventor 刁延松孙作凤徐菁毛辉郭孔政屠康王玉梅
Owner QINGDAO TECHNOLOGICAL UNIVERSITY
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