Particle filter multi-crack growth prediction method based on dynamic crack number

Abstract

The invention discloses a particle filter multi-crack growth prediction method based on dynamic crack number, belonging to the technical field of fault prediction and health management. The inventionadopts the on-line guided wave structure health monitoring method to on-line monitor the initiation and expansion of cracks in the structure, when the new crack initiation is detected, the crack component and the crack propagation equation number in the multi-crack propagation state equation are updated, the crack propagation law under the multi-crack coupling is constructed, and the particle setis updated. Combined with the on-line observations obtained from guided wave structure health monitoring method, the posterior probability density function of multi-crack propagation state vector is estimated on-line by regularized particle filter. The crack propagation model is updated by posterior estimation of model parameters, and the crack propagation trajectories at future time are predictedby posterior estimation of crack length. The invention can effectively realize on-line monitoring and prediction of multiple cracks in a structure, and has wide application prospect in prediction ofmultiple cracks in a structure.

Description

technical field [0001] The invention relates to 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. 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 struc...

AI Technical Summary

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

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