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Prediction method of multi-crack propagation based on particle filter based on dynamic crack number

A crack propagation and particle filter technology, applied in the field of fault prediction and health management, which can solve problems such as environmental parameter uncertainty, catastrophic accident, and service load uncertainty

Active Publication Date: 2021-09-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Propagation and aggregation of multiple cracks can cause sudden failure of the structure, resulting in catastrophic accidents
However, since the fatigue crack growth process is a random process with various uncertainties, such as the uncertainty of material microstructure, the uncertainty of service load, and the uncertainty of environmental parameters, etc.
These uncertainties lead to a large dispersion of fatigue crack initiation and growth
At the same time, the interaction between multiple cracks makes the multi-crack initiation and propagation problem more complex than the case of a single crack in the structure, including more uncertainties

Method used

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  • Prediction method of multi-crack propagation based on particle filter based on dynamic crack number
  • Prediction method of multi-crack propagation based on particle filter based on dynamic crack number
  • Prediction method of multi-crack propagation based on particle filter based on dynamic crack number

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Embodiment Construction

[0050] The technical solutions created by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0051] figure 1 Shown is the flow chart of the particle filter multi-crack propagation prediction method based on the number of dynamic cracks, and the method steps are as follows:

[0052] (1) The damage factor extracted by the guided wave structural health monitoring method is related to the length of all cracks in the structure; a scalar D is defined in the off-line state to represent the damage degree of the structure; Multiple crack lengths a=[a 1 ,a 2 ,...,a z ] and the structural damage index, as shown in the following formula:

[0053] D=ζ(a)

[0054] Among them: a 1 is the length of the first crack, a 2 is the length of the second crack, a z is the length of the zth crack, z is the maximum number of cracks in the structure, and ζ(·) is the mapping function obtained from the test data. For collinear cracks, ζ(·) is ...

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Abstract

The invention discloses a particle filter multi-crack propagation prediction method based on the number of dynamic cracks, which belongs to the technical field of fault prediction and health management. The invention adopts the online guided wave structure health monitoring method to monitor the initiation and propagation of cracks in the structure online. When a new crack initiation is detected, the crack components and the number of crack propagation equations in the multi-crack propagation state equation are updated, and the cracks under multi-crack coupling are constructed. Extend the law, and update the particle set. Combined with the online observations obtained by the guided wave structural health monitoring method, the posterior probability density function of the multi-crack propagation state vector is estimated online by regularized particle filter. The crack growth model is updated by the posterior estimation of the model parameters, and the trajectory of each crack growth in the future is predicted from the posterior estimation of the crack length. The invention can effectively realize the on-line monitoring and prediction of multiple cracks in the structure, and has wide application prospects in the prediction of the expansion of multiple cracks in the structure.

Description

technical field [0001] The invention relates to a particle filter multi-crack propagation prediction method based on the number of dynamic cracks, and belongs to the technical field of fault prediction and health management. Background technique [0002] Fault prediction and health management (Prognostics and Health Management, PHM) technology obtains information related to engineering systems online through sensors, and performs real-time diagnosis and prediction of the health status of the system based on this information. PHM technology has important theoretical significance and engineering application value for ensuring the safety and reliability of structures and formulating optimal operation and maintenance strategies. [0003] Engineering structures are the bearing platforms of engineering systems, and their damage diagnosis and prediction methods are crucial to PHM technology. Under the action of alternating service loads, the main damage form of engineering structu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06F17/18
CPCG06F17/18G06Q10/04
Inventor 袁慎芳陈健邱雷王卉金鑫
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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