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Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method

A damage localization vector and damage localization technology, which is applied in the processing of the detected response signal and the use of sonic/ultrasonic/infrasonic waves to analyze solids, etc., which can solve the problems of discussion, low accuracy of damage localization results, and no selection method. To achieve the effect of simple implementation, good practical value, and improved accuracy

Active Publication Date: 2014-06-25
DALIAN UNIV OF TECH
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Problems solved by technology

[0023] The problem is that existing studies have given two methods for constructing the C matrix, but they have not discussed them in detail, nor given their selection methods; this has resulted in the inaccuracy of some damage location results based on the SDLV method , such as failing to identify the damage unit (missing unit), or the phenomenon of multiple recognition (false reporting unit), etc.; at the same time, the same vibration response data can get more accurate damage location results if another C matrix is ​​used

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  • Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method
  • Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method
  • Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method

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Embodiment Construction

[0044] The technical solution of the present invention is described in detail below in conjunction with accompanying drawing and specific example:

[0045] (1) Establish a structural finite element model: Taking the common Bailey beam steel truss bridge in service in my country as an example, the model is composed of 108 truss nodes and 312 truss rod elements connected, and the structure is called truss structure A below; figure 1 is a schematic diagram of a vertical plane of the truss structure.

[0046] (2) Determine the percentage threshold oa of the number of measuring points for the specific structure: select substructures of different sizes from small (triangular substructures with three nodes) to large ones to conduct damage localization research according to the 6 process steps of SDLV damage localization (see background technology) .

[0047] The first method to determine the percentage threshold oa of the number of measuring points: select different C matrix modules...

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Abstract

The invention discloses a method for improving the accuracy of a monitoring result of a stochastic damage locating vector (SDLV) method, relating to an improvement on the locating effect of the SDLV method, and belonging to the technical field of structure health monitoring. The method is characterized in that a step of selecting an observation matrix C is added in the SDLV method, so that a more accurate locating result can be obtained. The method specifically comprises the following steps of analyzing the relevance between the selection of the matrix C and a damage locating result under a proportion of different numbers of measurement points through a core of the SDLV method; then determining a matrix C selection basis of the SDLV method under the conventional sparse measurement point arrangement scheme, namely a measurement point number percentage; finally providing two methods for determining a threshold value of the measurement point number percentage. According to the method, the accuracy of the damage monitoring result of a truss structure based on the SDLV method is improved, and the application of real-time safety monitoring of the truss structure in engineering is facilitated.

Description

technical field [0001] The invention belongs to the technical field of structural health monitoring, and relates to further research on the damage location vector (SDLV) method, an important method for real-time safety monitoring of truss structures. A method to improve the accuracy of damage localization results by SDLV method. Background technique [0002] Structural health monitoring technology is a research hotspot in the fields of civil engineering, machinery and aerospace, and damage identification is the core technology of structural health monitoring; structural damage identification based on vibration information analyzes vibration response signals to locate damage, some damage identification The method can realize online real-time monitoring. Truss structure (grid structure) is a common structure type widely used in various industrial structures and engineering structures, but many truss structures such as steel truss bridge structures often work in extreme enviro...

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Application Information

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IPC IPC(8): G01N29/04G01N29/44
Inventor 安永辉欧进萍
Owner DALIAN UNIV OF TECH
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