Structural damage monitoring method based on adaptive density peak value-hybrid probability modeling

A hybrid probability model and density peak technology, applied in CAD numerical modeling, special data processing applications, instruments, etc., can solve the problems of complex adaptive mechanism and inability to guarantee the stability of modeling results.

Active Publication Date: 2018-07-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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The number of probability components of the mixed probability model established in this type of method can adapt to the change of the probability distribution of the signal characteristic parameters caused by time-varying environmental factors, but t

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  • Structural damage monitoring method based on adaptive density peak value-hybrid probability modeling
  • Structural damage monitoring method based on adaptive density peak value-hybrid probability modeling
  • Structural damage monitoring method based on adaptive density peak value-hybrid probability modeling

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[0077] The invention will be further described in detail below in conjunction with the accompanying drawings.

[0078] In this embodiment, the structural screw loosening action is taken as a time-varying environmental factor, combined with guided wave damage monitoring technology, and the method of the present invention is specifically described by taking the example of judging the crack growth of the screw hole under the time-varying structural boundary condition of screw loosening. Implementation process.

[0079] The schematic size and position of the monitored structure and piezoelectric sensor arrangement of this embodiment are as follows: figure 1 Shown. In structure, there are 3 screws and their screw holes. Two piezoelectric sensors are arranged on the structure to monitor the cracks on the sides of the structural screw holes. The piezoelectric sensor 1 serves as an excitation element for guided wave signals, and the piezoelectric sensor 2 serves as a response element fo...

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Abstract

The invention puts forward a structural damage monitoring method based on adaptive density peak value-hybrid probability modeling, and belongs to the technical field of aviation structure health monitoring. The method comprises the following steps that: firstly, through an adaptive density peak value quick searching strategy, determining the probability density peak value of a structure signal feature sample; on the basis, through an expectation maximization algorithm, establishing a hybrid probability model which can represent structure signal feature sample probability distribution; and finally, adopting a probability density inner product damage index to quantitatively represent the migration change, which is relative to the hybrid probability model under a health state, of the hybrid probability model so as to realize normalized damage evaluation. The method is simple and high in calculation efficiency, and the adaptivity, the stability and the reliability of structural damage monitoring under time varying environment can be effectively improved.

Description

technical field [0001] The invention relates to a structural damage monitoring method based on adaptive density peak-mixed probability modeling, and belongs to the technical field of aviation structure health monitoring. Background technique [0002] Aeronautical structure health monitoring technology can monitor the health status of aviation structures online, and then predict and estimate structural damage and remaining life, so as to ensure the safety of aircraft structures and reduce structural maintenance costs. In recent years, aeronautical structural health monitoring technology has gradually shifted from early theoretical research to engineering application research. However, in actual aeronautical engineering applications, structural health monitoring technology often faces more complex time-varying service environments than laboratory conditions, such as changing temperature and humidity, boundary conditions, random vibration, fatigue loads, etc. Under the influen...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20G06F2111/10
Inventor 邱雷袁慎芳房芳任元强张巾巾
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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