Bridge damage position lossless identification method, storage medium and equipment

A damage location and identification method technology, applied in design optimization/simulation, data processing applications, instruments, etc., can solve the problem of not being able to easily identify the damage location of bridge structures, and achieve the effect of preventing large-scale damage and simple operation

Active Publication Date: 2022-07-01
SHIJIAZHUANG TIEDAO UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing detection technology cannot easily identify the damaged position of the bridge structure, the present invention further proposes a non-destructive identification method for the damaged position of the bridge

Method used

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  • Bridge damage position lossless identification method, storage medium and equipment
  • Bridge damage position lossless identification method, storage medium and equipment
  • Bridge damage position lossless identification method, storage medium and equipment

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specific Embodiment approach 1

[0051] This embodiment is a non-destructive identification method of bridge damage position. Since the present invention is based on the local vertical displacement response of the bridge for identification, the present invention is a non-destructive identification method for identifying the bridge damage position based on the local vertical displacement response of the bridge. , which is essentially a recognition method based on the adaptive unscented Kalman filter algorithm.

[0052] A method for nondestructive identification of bridge damage locations described in this embodiment includes the following steps:

[0053] Step 1. According to D'Alembert's principle, structural dynamics and finite element theory, the motion control differential equation of the structure is deduced or a finite element model of the structure is established. The structure is a bridge structure, which is abbreviated as structure for convenience of expression;

[0054] In this process, the motion con...

Embodiment

[0106] In order to fully explain the present invention, the present invention is described by taking the vehicle-axle coupling system as an embodiment.

[0107] In order to fully illustrate the present invention, in this embodiment, the Figure 4 The illustrated vehicle-axle coupling system is illustrated:

[0108] The vehicle-axle coupling system includes the vehicle body mass 1 of the quarter vehicle model, the suspension stiffness 2 between the vehicle body and the tires of the quarter vehicle model, the vehicle body and the tire of the quarter vehicle model. Suspension damping between tires 3, tire mass for quarter vehicle model 4, contact stiffness between tire and bridge for quarter vehicle model 5, tire-bridge contact point 6, fixed end for simply supported boundary constraints 7. Beam element 8, beam element node 9 and simply supported boundary constrained sliding end 10;

[0109] The contact point 6 between the tire and the bridge refers to that the tire and the bri...

specific Embodiment approach 2

[0118] This embodiment is a storage medium, and the storage medium stores at least one instruction, and the at least one instruction is loaded and executed by a processor to implement a method for non-destructive identification of bridge damage locations.

[0119] It should be understood that the storage media described in this embodiment include but are not limited to magnetic storage media and optical storage media; the magnetic storage media include but are not limited to RAM, ROM, and other storage media such as hard disks and U disks.

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Abstract

The invention discloses a nondestructive recognition method for a bridge damage position, a storage medium and equipment, and belongs to the technical field of bridge engineering health monitoring. In order to solve the problem that the damage position of the bridge structure cannot be simply and conveniently identified by the existing detection technology, the damage position is determined based on an unscented Kalman filter algorithm and a self-adaptive unscented Kalman filter algorithm, a sensitive parameter corresponding to each step needs to be calculated in the filtering process, and the sensitive parameter eta < k > is calculated according to a time history curve of the sensitive parameter eta < k >. Selecting a filter algorithm of the next time step, forming a new diagonal matrix according to all main diagonal elements of the state quantity covariance when the adaptive unscented Kalman filter algorithm is executed, and sequentially expanding a covariance value corresponding to each elastic modulus parameter of the matrix, a step of complete unscented Kalman filtering operation is executed, a sensitive parameter eta k is obtained, and a damage position is found; and expanding the covariance corresponding to the position and continuing to execute the (k + 1) th time step until all cycles are finished to obtain all damage positions.

Description

Technical field: [0001] The invention belongs to the technical field of bridge engineering health monitoring, and particularly relates to a nondestructive identification method, storage medium and equipment of bridge damage positions. Background technique: [0002] As the nodes and throats of transportation lifeline projects, bridges play an irreplaceable role in promoting regional links, ensuring material transportation, and promoting economic development. As the service life of bridges increases, heavy-duty traffic, environmental erosion, material aging, and fatigue effects have an increasing impact on the performance of bridge structures, resulting in a decrease in the local resistance of bridges, accumulation of damage, and damage or even collapse. How to obtain the location of bridge damage as soon as possible is of great significance for timely maintenance and repair of bridges, preventing large-scale bridge damage, ensuring personnel safety, and energy conservation an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F30/13G06Q10/00G06Q50/08G06F111/08G06F119/14
CPCG06F30/23G06F30/13G06Q10/20G06Q50/08G06F2111/08G06F2119/14
Inventor 张延哲丁勇张立平卜建清
Owner SHIJIAZHUANG TIEDAO UNIV
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