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Aircraft structure damage diagnosis method based on stable boundary and POD method

A technology for structural damage and diagnosis methods, which is applied in instrumentation, CAD numerical modeling, special data processing applications, etc., and can solve problems such as masking dynamic response changes, detecting failures, and having little effect on the overall response of the structure.

Inactive Publication Date: 2020-11-20
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In general, attractor-based methods and vibration-based methods use signal processing techniques to directly deal with structural responses, but there are two problems with this diagnostic technique: 1) The dynamic response of the system not only depends on the geometric and material properties, It also depends on the force and environmental conditions, and changes in force and environmental conditions may mask the dynamic response changes caused by structural changes, that is, structural damage; 2) structural damage is a typical local phenomenon that has little effect on the overall response of the structure , then the commonly used methods based on vibration and attractors for measurement and recording often lead to insignificant changes in dynamic response and detection failure

Method used

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  • Aircraft structure damage diagnosis method based on stable boundary and POD method
  • Aircraft structure damage diagnosis method based on stable boundary and POD method
  • Aircraft structure damage diagnosis method based on stable boundary and POD method

Examples

Experimental program
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Embodiment

[0088] For the damaged panel in hypersonic flow, the simulation parameters are shown in Table 1:

[0089] Table 1 Simulation parameter table

[0090]

[0091] To evaluate the effect of damage level on the nonlinear aeroelastic response of damaged panels, see Figure 14 shown.

[0092] Figure 14 Respectively show in T / T cr = 4, λ = 150 load Sr = 1, 0.8, 0.6 aeroelastic response of panels with different damage degrees, including Poincaré mapping, maximum Lyapunov exponent and FFT transformation, respectively indicate that the panels with different damage degrees Chaotic motion, periodic motion, and chaotic motion.

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Abstract

The invention discloses an aircraft structure damage diagnosis method based on a stable boundary and a POD method. On the basis of the POD method, an attractor method and a stability analysis method,a damage diagnosis technology of an aircraft sheet structure under a supersonic speed condition is provided, and nonlinear tools such as a bifurcation diagram, Poincare mapping, a Lyapunov index, a stability domain boundary and a high-order POD mode are utilized to obtain the influence rule of the structural damage degree, the damage range and the damage position on aeroelastic response, and a setof nonlinear structural damage diagnosis tool with high sensitivity and a structural damage criterion are attempted to be determined.

Description

technical field [0001] The invention belongs to the field of non-linear structural damage diagnosis methods of aircraft, and in particular relates to an aircraft structural damage diagnosis method based on a stable boundary and a POD method. Background technique [0002] The thin-plate structure of aircraft with nonlinear flutter often suffers from fatigue damage due to long-term vibration, so damage detection is an important guarantee to ensure flight safety. The most common and effective existing structural damage diagnosis methods belong to the category of signal processing, which are mainly divided into: [0003] A. Vibration-based methods: Damage-induced changes in physical properties such as mass, damping, and stiffness cause detectable changes in modal parameters such as natural frequencies, mode shapes, and modal damping; [0004] B. Attractor-based approach; [0005] C. POD-based approach. [0006] For vibration-based damage detection, Rucka, M, Yam, L, etc. used...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F111/10G06F113/08G06F119/14
CPCG06F30/20G06F2111/10G06F2113/08G06F2119/14
Inventor 谢丹冀春秀陈翛然车驰
Owner NORTHWESTERN POLYTECHNICAL UNIV
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