Hybrid Global Matrix/Local Interaction Simulation Approach for Wave Propagation Simulation in Composite Laminates

Obenchain, Matthew B.; Nadella, Kalyan S.; Cesnik, Carlos E. S.

doi:10.2514/6.2013-1658

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…The LISA is a finite difference method which uses sharp interface modelling to solve issues regarding boundaries and discontinuities, 37 developed in the early nineties [38][39][40] for the bespoke purpose of simulating Lamb wave interaction. Since its introduction, there has been much research assessing the accuracy and reliability of models [41][42][43][44][45][46][47][48] which have been validated in experimental studies using laser vibrometry, particularly at boundaries, structural features and defects. LISA has been shown to be well suited to, and is now an established method for, modelling Lamb wave interaction.…”

Section: Lisamentioning

confidence: 99%

Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets

Marks

Clarke

Featherston

et al. 2017

International Journal of Distributed Sensor Networks

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Aircraft structural damage detection is becoming of increased importance. Technologies such as acousto-ultrasonic have been suggested for this application; however, an optimization strategy for sensor network design is required to ensure a high detection probability while minimizing sensor network mass. A methodology for optimizing acousto-ultrasonic transducer placement for adhesive disbond detection on metallic aerospace structures is presented. Experimental data sets were acquired using three-dimensional scanning laser vibrometry enabling in-plane and out-of-plane Lamb wave components to be considered. This approach employs a novel multi-sensor site strategy which is difficult to achieve with physical transducers. Different excitation frequencies and source-damage-sensor paths were considered. A fitness assessment criterion which compared baseline and damaged data sets using cross-correlation coefficients was developed empirically. Efficient sensor network optimization was achieved using a bespoke genetic algorithm for different network sizes with the effectiveness assessed and discussed. A comparable numerical data set was also produced using the local interaction simulation approach and optimized using the same methodology. Comparable results with those of the experimental data set indicated a good agreement. As such, the numerical approach demonstrates that acoustoultrasonic sensor networks can be optimized using simulation (with some further refinement) during an aircraft design phase, being a useful tool to sensor network designers.

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Section: Lisamentioning

confidence: 99%

Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets

Marks

Clarke

Featherston

et al. 2017

International Journal of Distributed Sensor Networks

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“…Also, N i D 0 is calculated from the GMM and represents the contribution of the transducer to the theoretical signal reconstructed. 19 In this case, the theoretical signal S m CB (t) is obtained by computing transfer functions of the signal propagated from the emitter E to the theoretical location D of the damage u ED (v) and back to the receiver R, u DR (v) with the excitation burst e(v) such that…”

Section: Calculation Of the Correlation Coefficientmentioning

confidence: 99%

“…3,14,15 The CB imaging technique, also referred to as Excitelet, relies on the accurate modeling of the generation, propagation and sensing of the dispersed ultrasonic GWs in the structure. For this purpose, the classical pin-force model is usually used for the piezoceramic transducer (often referred to as the PZT), [16][17][18][19][20] where some aspects of the finite geometry of the receiver are considered. 17 Also, the shear lag effect can be considered to increase the robustness of the approach.…”

Section: Introductionmentioning

confidence: 99%

Comparison of model-based damage imaging techniques for transversely isotropic composites

Ostiguy

Quaegebeur

Masson

2016

Structural Health Monitoring

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In order to reduce operation and maintenance costs of aircraft, in situ structural health monitoring techniques are implemented on critical parts and assemblies. Many of these techniques rely on models considering, with various levels of complexity, the generation, propagation and interaction of ultrasonic guided waves with potential damages, in order to detect, localize and estimate damage severity. Although their potential has been extensively demonstrated on isotropic substrates, their implementation still poses a challenge for composite assemblies for which only quasi-isotropic and cross-ply composites have been considered. This is mainly due to the limitations of the models to properly predict the complex behaviour of guided waves on composites, where the assumptions behind the models actually used for damage imaging do not fully consider the impact of the anisotropy on guided wave generation and propagation. This article presents a comparative analysis of the performances of three model-based damage imaging techniques for composites previously validated on isotropic substrates. The main objective of the study is to address the interest in using more complex analytical formulations to improve the performance of imaging techniques. This is obtained by comparing three imaging techniques, each presenting different levels of complexity in their numerical formulations. Performance of (a) delay-and-sum, (b) dispersion compensation and (c) correlation-based techniques are addressed numerically and experimentally. The analysis is conducted on a unidirectional transversely isotropic laminate instrumented with four circular piezoceramic transducers. A robustness analysis of the models is performed numerically, where the effect of varying stiffness parameters and velocity is addressed. The correlation-based technique is adapted for the first time to composite laminates where the generation is considered using the pin-force model and the propagation is modelled via the use of the global matrix model. Experimental validation is carried out and the results obtained show the benefit of considering the steering effect for well-resolved multi modal damage imaging.

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“…The present work used the LISA hybrid model previously developed by the authors [22] to simulate guided wave behavior in isotropic and composite plates. This model combined a semi-analytical formulation based on the global matrix method with the numerical scheme used in LISA.…”

Section: Lisa Hybrid Modelmentioning

confidence: 99%

Guided wave interaction with hole damage using the local interaction simulation approach

Obenchain

Cesnik²

2014

Smart Mater. Struct.

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This paper considers the effects of hole damage on guided wave propagation in isotropic and composite plates using both the local interaction simulation approach (LISA) and experimental methods. Guided wave generation from piezoceramic wafers is modeled using the recently developed LISA hybrid approach. First, holes in isotropic plates are simulated to establish LISAʼs ability to capture the guided wave scattering effects of various hole sizes. Experimental results are compared with the simulations to aid in evaluating the LISA model. Next, hole damage in cross-ply composite laminates is modeled and compared with experimental results. Various hole sizes and azimuthal locations are simulated to determine the effects of varying those parameters. Results from both the isotropic and composite damage studies clearly display the ability of LISA to model hole damage. Both the simulation and experimental results illustrate the advantages and disadvantages of various sensor locations relative to the actuator and damage locations. Finally, the study shows the ability of the LISA model to capture mode conversions resulting from partial thickness holes.

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Hybrid Global Matrix/Local Interaction Simulation Approach for Wave Propagation Simulation in Composite Laminates

Cited by 6 publications

References 20 publications

Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets

Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets

Comparison of model-based damage imaging techniques for transversely isotropic composites

Guided wave interaction with hole damage using the local interaction simulation approach

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