Bridge damage rapid identification method based on macro strain energy under random traffic flow

An identification method and strain energy technology, applied in the field of bridge damage identification, can solve the problems of limited working conditions, limited application scenarios, and limited traffic conditions, and achieve the effect of effective, accurate and rapid judgment.

Pending Publication Date: 2021-02-05
CHANGAN UNIV
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Problems solved by technology

At present, many scholars have developed many damage identification algorithms, but a large part of them are limited in working conditions, and have strict restrictions on the traffic flow conditions on the upper p...

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  • Bridge damage rapid identification method based on macro strain energy under random traffic flow
  • Bridge damage rapid identification method based on macro strain energy under random traffic flow
  • Bridge damage rapid identification method based on macro strain energy under random traffic flow

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with accompanying drawing.

[0030] like Figure 1-7 As shown, a method for rapid identification of bridge damage based on macro-strain energy under random traffic flow of the present invention comprises the following steps:

[0031] Step 1: Install n macro-strain sensors continuously along the direction of the span under the bridge: S1, S2,...Sn, such as figure 2 Shown; Among them, the macro strain sensor can choose a large gauge length resistive strain gauge, a fiber grating macro strain sensor or other sensing devices that can be used to measure macro strain. The optimal solution for the arrangement of n macro strain sensors is to connect end to end and cover the entire span of the bridge, such as figure 2 and image 3 As shown, when the cost is limited, it can also be arranged only in the key areas of the structure, such as mid-span, quarter-span, etc.

[0032] Step 2: Collect the macro-stra...

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Abstract

The invention discloses a bridge damage rapid identification method based on macro strain energy under random traffic flow. The method comprises the following steps: continuously installing n macro strain sensors below a bridge along a bridge span direction; collecting a macro strain response of the bridge when a section of random traffic flow passes; integrating the macro strain response acquiredby each sensor in a time domain to obtain a macro strain energy vector; regularizing the macro strain energy vector by using the infinite norm of the macro strain energy vector to obtain a regularized macro strain energy vector; and comparing the identified regularized macro strain energy vector RMEV with a standard value to obtain the bridge damage position and degree. The structural damage position and degree can be effectively, accurately and rapidly judged under the random traffic flow working condition, and traffic interruption or traffic condition limitation is not needed.

Description

technical field [0001] The invention relates to the technical field of bridge damage identification, in particular to a bridge damage rapid identification method based on macro-strain energy under random traffic flow. Background technique [0002] Because the long-term reciprocating upper vehicle load will cause the gradual decline of bridge performance, in order to avoid potential accidents and ensure the safety of the upper passers-by and vehicles, it is necessary to carry out real-time detection of the bridge. However, the current commonly used method is to complete the load test. However, in practice, it is found that the load test is inefficient, takes a long time, and needs to interrupt traffic, which will seriously affect normal vehicle traffic. Therefore, a rapid damage identification algorithm for bridges based on health monitoring is particularly necessary. At present, many scholars have developed many damage identification algorithms, but a large part of them are...

Claims

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Application Information

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IPC IPC(8): G01N3/06G01N3/34G06F17/15
CPCG01N3/06G01N3/34G06F17/15
Inventor 陈适之韩万水冯德成袁阳光
Owner CHANGAN UNIV
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