Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques

Katunin, Andrzej; Dragan, Krzysztof; Dziendzikowski, Michał

doi:10.1016/j.compstruct.2015.02.080

Cited by 280 publications

(136 citation statements)

References 29 publications

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“…One of the most effective statistical measure is correlation coefficient [16]. It is one of the most often used both in laboratory experiments [17,18,19] and real structures applications [20,21,22]. Delaminations in composite materials are one of the most danger failure mode results typically from impact damage or manufacturing imperfections.…”

Section: Introductionmentioning

confidence: 99%

Location of delaminations in curved laminated panels

Muc

Stawiarski

2015

Composite Structures

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Section: Introductionmentioning

confidence: 99%

Location of delaminations in curved laminated panels

Muc

Stawiarski

2015

Composite Structures

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“…Existen diferentes métodos de detección de daños no destructivos (DDND), aplicables también para el caso de las estructuras entramadas metálicas objeto de estudio del presente trabajo, tales como la inspección visual, la inspección acústica, el ultra sonido e incluso algunos métodos térmicos [3] [4], que apuntan a la consecución del objetivo empresarial. Todos ellos realizan una detección de daño local y responden satisfactoriamente en su espectro de aplicación.…”

Section: Introductionunclassified

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

Acevedo

Uscátegui²,

Gómez³

et al. 2017

revuin

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 y se referencia usando el siguiente formato: H. G. Sánchez, J. Uscátegui, S. Gómez, "Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO", UIS RESUMENCon el objetico de mejorar la confiabilidad de los sistemas productivos, las empresas han desarrollado metodologías para la detección de fallos incipientes. Las estructuras metálicas son revisadas con un procedimiento de inspección visual el cual no permite la detección de fallos emergentes. El propósito del presente trabajo es desarrollar una nueva metodología, basada en el análisis modal y en un algoritmo de optimización por enjambre de partículas, para detectar fallas en estas estructuras. Un modelo físico fue construido y este fue estudiado aplicando las técnicas de análisis modal. Un modelo numérico fue establecido por medio del Método de los Elementos Finitos. El algoritmo fue ejecutado y los resultados fueron comparados con resultados experimentales. La metodología fue validada y daños de diferentes niveles fueron identificados. PALABRAS CLAVE:Análisis modal, Algoritmo de optimización, Caracterización dinámica, Técnicas de identificación de daño basada en vibraciones (TIDBV), Métodos de elementos finitos. ABSTRACTWith the objective of improving the production systems reliability the companies have developed methodologies to detect incipient damages. The metallic structures are usually checked by visual inspection procedures which are not able to detect emerging falls. The purpose of the present work is to develop a novel methodology based on modal testing analysis and particle swarm optimization algorithm to detect failure in these structures. A physical model was built and it was studied applying the modal testing techniques. A numerical model was stablished by Finite Element Method (FEM). The algorithm was executed, and the results were compared with the experimental results. The methodology was validated and failure was identified for different levels damage.

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“…Carbon fiber reinforced plastics (CFRP) have been widely applied in aircraft industry [1,2]. But due to the impact and material fatigue, various barely visible damages can appear [3,4].…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission localization based on FBG sensing network and SVR algorithm

Sai

Zhao²,

Hou

et al. 2017

Photonic Sens

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Abstract:In practical application, carbon fiber reinforced plastics (CFRP) structures are easy to appear all sorts of invisible damages. So the damages should be timely located and detected for the safety of CFPR structures. In this paper, an acoustic emission (AE) localization system based on fiber Bragg grating (FBG) sensing network and support vector regression (SVR) is proposed for damage localization. AE signals, which are caused by damage, are acquired by high speed FBG interrogation. According to the Shannon wavelet transform, time differences between AE signals are extracted for localization algorithm based on SVR. According to the SVR model, the coordinate of AE source can be accurately predicted without wave velocity. The FBG system and localization algorithm are verified on a 500 mm500 mm2 mm CFRP plate. The experimental results show that the average error of localization system is 2.8 mm and the training time is 0.07 s.

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Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques

Cited by 280 publications

References 29 publications

Location of delaminations in curved laminated panels

Location of delaminations in curved laminated panels

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

Acoustic emission localization based on FBG sensing network and SVR algorithm

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