Fatigue crack growth monitoring method for single-side notched aluminum alloy specimens based on FBG sensor

A technology of fatigue crack growth and crack growth, which is applied in the field of fatigue crack growth monitoring of unilateral notched aluminum alloy specimens, can solve the problems of poor generalization performance, poor real-time performance and practicality, etc. The effect of engineering practicability and simple structure

Active Publication Date: 2021-05-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] At present, in the monitoring and prediction of fatigue crack damage, neural networks and support vector machines are mostly used to train the network with a large number of sample data. Although the accuracy is high, because it is based on large samples, the generalization performance is not good, real-time performance and poor usability

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  • Fatigue crack growth monitoring method for single-side notched aluminum alloy specimens based on FBG sensor
  • Fatigue crack growth monitoring method for single-side notched aluminum alloy specimens based on FBG sensor
  • Fatigue crack growth monitoring method for single-side notched aluminum alloy specimens based on FBG sensor

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Embodiment Construction

[0044] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0045] This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, components are exaggerated for clarity.

[0046] The flow chart of the fatigue crack growth monitoring method for single-side notched aluminum alloy specimens based on FBG sensors is shown in Fig. image 3 As shown, the specific implementation steps are as follows:

[0047] Step 1), perform finite element modeling on the specimen:

[0048] Construct the finite element model of the unilateral notched aluminum alloy specimen, whose elastic modulus is 70Gpa, Poisson's ratio 0.33, the size is 240mm×200mm×15mm, the diameter of th...

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Abstract

The invention discloses a fatigue crack growth monitoring method of a unilateral notch aluminum alloy test piece based on an FBG sensor. The distributed fiber Bragg grating sensor network is used to sense the fatigue crack growth in the structure, and the central wavelength offset of the FBG sensor is extracted as a characteristic parameter. The fatigue crack length prediction relationship model is established by using the change rule of the center wavelength offset of the FBG sensor at different positions with the crack growth, and the prediction of the fatigue crack growth length is realized. The fatigue crack growth monitoring method in the present invention realizes the prediction of the crack growth position by calculating the central wavelength offset of the FBG sensor, and has the characteristics of being fast, intuitive, and does not require a large amount of prior knowledge.

Description

technical field [0001] The invention relates to the technical field of fatigue damage monitoring for structural health monitoring, in particular to a method for monitoring fatigue crack growth of a single-side notched aluminum alloy specimen based on an FBG sensor. Background technique [0002] At present, aluminum alloys account for the vast majority of structural materials used in aerospace vehicles, and in complex mechanical structures such as aluminum alloy spacecraft and aircraft, the key structures and components of the machinery are subject to external heat or force for a long time. The action of various alternating fatigue loads can easily cause structural wear and failure, resulting in fatigue damage and fracture. Fatigue crack is the initial state form of fatigue damage fracture. Although aerospace vehicles can continue to be used when there are tiny cracks, their performance will be reduced. If they are not monitored and maintained for a long time, it will eventu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/00G01N3/06G01B11/16G06F30/23
CPCG01N3/00G01N3/068G01B11/165G01N2203/0062G01N2203/0641G01N2203/0216G01N2203/0073G06F30/23
Inventor 曾捷郑丁午吴肖于惠勇杨钰敏张旭苹吴心怡
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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