Matrix Damage Detection in Laminated Composite Structures by Discrete and Continuous Wavelet Transforms Using Vibration Modes

Faria, Albert Willian; Silva, Rodrigo Alves e; Koroishi, Edson Hideki

doi:10.5028/jatm.v9i4.804

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As a consequence, it provides an effective way for signal filtering, separation of signal noise and feature extraction (An and Yang, 2016). Moreover, wavelet can also be employed to carry out analysis on time-frequency (Faria et al, 2017). In the experiment, the signals received by the array sensors are more than a narrow band signal that contains only the segment of excitation frequency.…”

Section: Methodsmentioning

confidence: 99%

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Jiang

et al. 2019

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

It is highly probable for the structures of carbon fiber reinforced plastics (CFRP) to suffer from invisible impact damage, for which the identification of such damage is of great significance. For the purpose of damage localization, this paper proposes a minimum variance distortion-less response (MVDR) algorithm that employs linear array sensor. In addition, a near field signal model based on active Lamb wave is established and the propagation of Lamb wave is investigated in composite laminates through the method of simulation. Moreover, a damage imaging system is also set up for composites to verify the effectiveness of the MVDR algorithm. Besides, in the study, wavelet transform is used as well to extract narrowband signals and promote signal-to-noise. It is shown by the results that the proposed algorithm can accurately identify the location of damage through the method of imaging. It is concluded that the maximum error of damage identification is 1.2 cm and MVDR algorithm has great potential in the field, damage imaging of composite materials. As a result, it provides a novel idea for damage imaging of composite materials.

show abstract

Section: Methodsmentioning

confidence: 99%

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Jiang

et al. 2019

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…[20][21][22] Due to the merit of the wavelet transform, it was applied to various fields. Faria et al 23 compared the ability of discrete with CWTs for addressing damage prognostic problems and proposed a damage index to quantify damage magnitudes in laminated composite structures. Zhang et al 24 boosted the performance of fault diagnosis of wind turbine gearboxes with an improved residual network which can highlight the essential frequency bands of wavelet coefficients.…”

Section: Introductionmentioning

confidence: 99%

Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform

Chen

Zhu

et al. 2022

Structural Health Monitoring

View full text Add to dashboard Cite

Composite structures are widely used due to their excellent performance. To improve their safety and reliability, non-destructive testing (NDT) methods are implemented to achieve efficient damage detection. In this paper, a novel stress–strain-based damage detection approach is proposed for composite structures by using continuous wavelet transform (CWT) and selective kernel convolutional network (SKNet), which exhibit good robustness when dealing with the stress–strain signals collected from different positions of composite structures. First, a stress–strain-based measuring scheme is designed for vibration response monitoring of the composite structures. Second, the collected stress–strain signals are converted into two-dimensional time–frequency images by the CWT. Then, the SKNet is constructed to classify these images for damage detection. Finally, an experimental test is conducted on a composite capsule, data from which is employed to evaluate the proposed method. The comparison results of our proposed method and other state-of-the-art approaches demonstrate its superiority.

show abstract

“…O uso da TW no SHM de diversos tipos de sistemas estruturais modelados numericamente através do MEF tem mobilizado nas últimas décadas diversos pesquisadores tais como: Ovanesova e Suárez (2004) no estudo de estruturas danificadas do tipo viga e pórtico utilizando as TW discreta e contínua por meio das wavelets mães Haar e Bior (biorthogonal); Yang et al (2011) no estudo experimental e numérico de placas de alumínio danificadas (dotadas de enrijecedores) através do uso da TW discreta do tipo Packet; Janeliukstis et al (2016) na detecção do dano em uma placa de alumínio retangular utilizando a TW contínua Pet Hat; e, Faria et al (2017) no estudo da detecção do dano em placas de materiais compósitos laminados danificadas utilizando as TW direta e contínua. No entanto, poucos são os trabalhos que empregam as TW no estudo de lajes de concreto, especialmente com formato geométrico irregular, comumente encontradas na área da construção civil.…”

Section: Introductionunclassified

Monitoramento da Integridade Estrutural de uma laje de concreto utilizando transformadas de wavelet

Faria

Campos²,

Koroishi³

2021

Self Cite

View full text Add to dashboard Cite

A presente contribuição utiliza uma metodologia para localizar danos em um sistema estrutural do tipo laje de concreto empregando transformadas de Wavelet. Esse sistema estrutural é modelado numericamente empregando o Método dos Elementos Finitos (MEF). O sinal da deflexão vertical da laje danificada é utilizado na localização da posição do dano empregando a transformada discreta de wavelet (TDW). As wavelets mães estudadas foram a: Daubechies, Symlets e ReverseBior. O tipo de dano implementado é dado sob a forma de perda localizada da rigidez do concreto da laje utilizando uma variável escalar de dano D. O sinal da deflexão, obtido na análise estática da laje, é interpolado e depois ampliado empregando a regularização de Tikhonov antes de ser transformado. O elemento finito utilizado na modelagem da laje apresenta quatro nós e seis graus de liberdade por nó, sendo três translações e três rotações. A calibração dos parâmetros bj da regularização de Tikhonov mostrou-se fundamental para amplificar e suavizar as perturbações nos gráficos dos coeficientes de wavelet. Além disso, todas as wavelets mães avaliadas foram capazes de identificar o dano proposto. Entretanto, quando a variável escalar de dano é maior ou igual a 0,20, somente o sinal da estrutura na condição danificada foi necessário para detectar a posição do dano. Já, para valores de dano menores que 0,20, foi necessário o emprego do sinal da diferença, obtido entre as condições da estrutura sem e com dano.

show abstract

Matrix Damage Detection in Laminated Composite Structures by Discrete and Continuous Wavelet Transforms Using Vibration Modes

Cited by 6 publications

References 0 publications

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform

Monitoramento da Integridade Estrutural de uma laje de concreto utilizando transformadas de wavelet

Contact Info

Product

Resources

About