A Structural Damage Identification Method Based on Deletion Model

An identification method and technology for structural damage, applied in complex mathematical operations, geometric CAD, sustainable transportation, etc., can solve problems such as unclear damage location judgment, and achieve the effect of automatic data processing, strong robustness, and wide application range.

Active Publication Date: 2022-08-09
HOHAI UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a structural damage identification method based on a deletion model to solve the defects in the prior art that cause noise and measurement error causes unclear damage position judgment

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  • A Structural Damage Identification Method Based on Deletion Model
  • A Structural Damage Identification Method Based on Deletion Model
  • A Structural Damage Identification Method Based on Deletion Model

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[0061] In order to make the technical means, creative features, achievement goals and effects realized by the present invention easy to understand, the present invention will be further described below with reference to the specific embodiments.

[0062] like Figure 1 to Figure 10 As shown, a structural damage identification method based on deletion model,

[0063] First make a high-piled wharf model in the laboratory, see the high-mounted wharf model figure 1 , figure 2 , on the second pile on the left side of the front row, an acceleration sensor is arranged every 0.01m from top to bottom, a total of 10 are arranged, and they are numbered 1, 2, ..., 10 from top to bottom. See the sensor layout diagram. image 3 , the pickup direction of the sensor is the vertical direction of the front of the wharf. The time-history response of hammering before and after the damage of the pile body is collected to analyze the local mode shape of the pile body. Figure 4 The shown damag...

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Abstract

The invention discloses a structure damage identification method based on deletion model, which comprises the following steps: obtaining the curvature modal difference between the current state of the structure and the intact state; establishing a curvature modal difference regression model, and matrixing the regression model; The regression model is used for parameter estimation; the curvature modal difference of a certain observation point is deleted, and the regression model is re-established and matrixed for parameter estimation; WK statistic is used to analyze the difference of the regression coefficients before and after the observation point is deleted, and judge whether the structure is at this point. damage; delete the observation points in turn, and judge whether all the observation points of the structure are damaged. The invention can solve the technical problem that the damage position is not clearly judged due to noise and measurement error in the existing dynamic damage identification.

Description

technical field [0001] The invention relates to the technical field of engineering detection, in particular to a method for identifying structural damage based on a deletion model. Background technique: [0002] The damage research method based on dynamic fingerprint comprehensively utilizes interdisciplinary technologies such as structural vibration theory, vibration testing technology and data processing technology, and is considered to be the most promising structural non-destructive testing method at present. In the damage diagnosis method of dynamic fingerprint, the curvature mode is highly sensitive to local damage, and has become a research hotspot in the field of structural engineering. However, the curvature modal sensitivity is high, and it is easily affected by random errors and measurement errors, making the indicator less robust. SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide a structure damage identification method based...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/13G06F17/18
CPCG06F17/18Y02T90/00
Inventor 朱瑞虎王启明郑金海王宁罗孟岩车宇飞王军磊曾海坤郭健
Owner HOHAI UNIV
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