Damage evaluation of complex composite structures using acousto-ultrasonic detection combined with phase-shifted fiber Bragg grating and dual-frequency based data processing

Zhang, Hanqi; Wu, Qi; Xu, Wuke; Xiong, Ke

doi:10.1016/j.compstruct.2021.115000

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…A summary of these studies based on the aims of the present study, focusing on the identification method, types of cracks, etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14], is presented in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

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Composite materials have a high level of uncertainty (intrinsic and non-intrinsic) due to the manufacturing process as well as the placement of different phases of their constituent materials. These uncertainties can be identified in both macro and micro scales. Identifying the behavior of structures made of composite materials without taking into account the uncertainties, whether due to identification or modeling, can lead to unrealistic results, especially in the dynamic behavior of structures. One of these cases is the identification of damage types in composite structures which is usually done by using dynamic responses. Damages in composite materials or structures usually occur during construction or operation. The correct modeling of uncertainty sources is one of the most important factors in identifying the geometry, location, and severity of damages accurately. The uncertainties related to the position and placement of carbon nanotubes (CNTs) can cause noticeable changes in the characteristics of composite materials reinforced with CNTs. For this reason, in the present study, we identified damages in CNT panels by considering all possible sources of uncertainty. A probabilistic multi-stage reliability-based method was proposed in this study to detect damage in these structures. In order to model the intrinsic and non-intrinsic sources of uncertainty, a modified point estimation method (MPEM) was used. In addition, an enhanced differential quadrature (DQ) method was used to model the CNT panels. In each step of the proposed algorithm, the probability of damage in each element of the panels was calculated by analyzing the possible damages. According to the results of the previous step, the elements with a low failure probability were gradually sifted in the next steps. The sieved elements in each step were considered as intact elements in the next step. This systematic filtering of design variables can simultaneously reduce the dimensions and speed up the optimization problem. Finally, the probability of damage was calculated based on the probability density function of various damage severities and positions. The developed approach was applied for damage detection on a laboratory-tested plate to illustrate the efficiency of the proposed method. The effects of using different damage positions and severity levels on the diagnosis results were discussed. The results demonstrated that the number of frequencies and modes of vibration required to identify the position and severity of damages accurately is different according to the damage scenarios and the percentage of uncertainty.

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Section: Introductionmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

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“…In this approach, structural responses under dynamic loads are predicted based on measurement data such as acceleration, velocity, deformation, dynamic deflection, etc., in the time domain. These results are often transformed into the frequency domain and combined with various data processing methods to ascertain natural frequencies and possibly establish the shape modes of the structure [9,[15][16][17][18][19]. However, several challenges must be overcome when using dynamic measurement methods to assess structural damage.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Damage Identification of Beams Using Mid-Span Static Deflection Changes

Nguyen,

Nguyen

2024

Eng

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In structural health monitoring, determining the location and index of damage is a critical task in order to ensure the safe operation of the construction project and to enable the early recovery of losses. This paper presents a novel method for identifying damage location and damage index in simply supported (SS) beams by analyzing deflection changes at the mid-span point. Theoretical equations for mid-span deflection of simply supported beams with local damage are derived based on the principle of Virtual Work. Utilizing mid-span deflection, formulas for deflection change (DC) between two structural states, along with the first and second derivatives of DC at the mid-span point, are developed. The method of determining the location and damage index is then extended from intact beams to cases of beams with multiple damage zones and from damaged beams to beams with new failures. The graphical analysis of these quantities facilitates the determination of the number, location, and index of new damages. Various case studies on simply supported beams, involving one, two, and four damage zones at different positions and with varying damage indexes, are examined. The comparison of the theoretical method with the numerical simulations using Midas FEA NX 2020 (v1.1) software yields consistent results, affirming the accuracy and efficacy of the proposed approach in identifying and determining the damage locations as well as the damage indices.

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“…The acousto-ultrasonic (AU) method was used by several authors [27][28][29][30][31][32][33][34][35][36][37][38] to detect and assess defects in assemblies. Wang et al [30] evaluated matrix cracks in cross-ply Carbon Fiber Reinforced Polymer (CFRP) laminates using linear and nonlinear acoustoultrasonic methods.…”

Section: Introductionmentioning

confidence: 99%

“…Barile et al [35,36] used AU measurements to characterize the interlaminar strength of CFRP laminates in longitudinal and transverse directions, and to assess the detection of artificially induced impact barely visible on CFRP specimens. Zhang et al [38] used the AU method combined with phase-shifted fiber Bragg grating to evaluate damage and delamination within complex composite structures. Vary and Lark [34] also used this technique to estimate the mechanical characteristics (tensile and shear strength) of a multi-layer composite (8-ply) with different fiber orientations on each layer.…”

Section: Introductionmentioning

confidence: 99%

Defects Detection and Identification in Adhesively Bonded Joints between CFRP Laminate and Reinforced Concrete Beam Using Acousto-Ultrasonic Technique

et al. 2022

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Adhesively bonded composite reinforcements have been increasingly used in civil engineering since the 1980s. They depend on the effective transfer of forces throughout the adhesive joint that may be affected by defects or damages. It is therefore necessary to provide methods to detect and/or identify these defects present in the bonded joints without affecting their future use. This should be carried out through nondestructive methods (NDT) and should be able to discriminate the different types of defects that may be encountered. The acousto-ultrasonic technique shows good potential to answer to this challenge, as illustrated in recent studies led on small-scale model samples. In this paper, we assess the robustness of this methodology on larger scale samples using reinforced concrete beams (RC beam), that is a mandatory step prior to on-site applications. A mono-parametric analysis allows the detection of all types of defects using a simple criterion set. For the identification, it was necessary to conduct a data-driven strategy by means of a Principal Component Analysis (PCA) and a random forest (RF) method used from extracted parameters.

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Damage evaluation of complex composite structures using acousto-ultrasonic detection combined with phase-shifted fiber Bragg grating and dual-frequency based data processing

Cited by 6 publications

References 37 publications

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

An Efficient Approach for Damage Identification of Beams Using Mid-Span Static Deflection Changes

Defects Detection and Identification in Adhesively Bonded Joints between CFRP Laminate and Reinforced Concrete Beam Using Acousto-Ultrasonic Technique

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