An Optimisation Scheme Based on the Local Interaction Simulation Approach and Lamb Waves for Elastic Property Estimation in Multi-Layered Composites

Spencer, Andrew; Worden, Keith; Staszewski, Wiesław J.; Rongong, J.A.; Sims, Neil D.

doi:10.1155/2012/312318

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…In simple terms, the current particle displacement at each point on a discrete rectilinear mesh is given as a superposition of the previous values at that point and also values on neighbouring points in the mesh. The detailed derivation can be found in Delsanto et al , although one should be aware that a number of small errors are present in the formulae within that paper; for ease of reference, these have been corrected in Spencer et al The two equations for the 2D particle displacements ( w 1 and w 3 ) rely solely on known material properties (the density and Lamé constants) for each cell and arbitrary discretisation steps, both spatial and temporal. In the current paper, because the plate material is homogeneous, the properties are held constant throughout the mesh.…”

Section: Methodsmentioning

confidence: 99%

Acoustic emission source characterisation using evolutionary optimisation

Worden

Spencer

Paćko

et al. 2018

Strain

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When a crack initiates and grows in a metal or composite structure, for example, due to high cycle fatigue, the crack propagation gives rise to acoustic emissions (AE)—ultrasonic waves travelling through the structure. Because the presence and rate of growth of any cracks are important pieces of information about the condition or health of the structure, the monitoring of AE activity using sensors mounted on its surface is a potentially useful technique of structural health monitoring. In tests, acoustic emissions are often simulated by breaking a pencil lead against the surface of the structure in a standardised way (a "Hsu‐Nielsen" source), but the forces that this imparts are not well understood at present. The current paper proposes a new evolutionary optimisation‐based approach to source characterisation. The principle is to introduce a parametrised representation of a general source and then identify the parameters that allow the source to best match responses measured elsewhere on the structure. The predicted responses are modelled using a local interaction simulation approach (LISA) algorithm to simulate the propagation of the ultrasonic waves. The approach is validated here using experiments on AE propagation in thin plate‐like structures, where the ultrasound propagates as Lamb waves. Three separate case studies are proposed here. In the first case, an idealised point source is simulated using laser‐generated ultrasound, and the optimisation algorithm uses a two‐dimensional LISA model. A differential evolution optimisation scheme is used to find the optimal profile of forcing to match the simulation with experiment. In the second case, the two‐dimensional LISA approach is used to characterise the forces associated with standard pencil lead breaks. The final study addresses the full three‐dimensional wave propagation. Because of the computational expense of the latter calculation, the LISA algorithm is implemented using a CUDA graphics card computer system.

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Section: Methodsmentioning

confidence: 99%

Acoustic emission source characterisation using evolutionary optimisation

Worden

Spencer

Paćko

et al. 2018

Strain

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“…It is clear that the size and the shape of the scanning area have to be adequate for the determination of the phase velocity and recovery of the material properties. These issues were previously investigated in a number of articles for both isotropic and anisotropic materials and will not be repeated in this paper.…”

Section: Experimental Studiesmentioning

confidence: 99%

A model‐based method for damage detection with guided waves

Aryan

Kotousov

et al. 2016

Struct. Control Health Monit.

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SUMMARYDefect detection techniques, which utilise guided waves, have received significant attention over the past twenty years. Many of these techniques implement the baseline signal subtraction approach for damage diagnosis. In this approach, the baseline signal previously recorded for a defect-free structure is compared with/or subtracted from the actual signal recorded during routine inspections. A significant deviation between these two signals (or residual signal/time-trace) can be treated as an indication of the presence of critical damage. However, the accuracy of this common approach can be compromised by various uncontrolled factors, which include ambient temperature variations, unavoidable inconsistencies in the PZT installation procedure and degradation of mechanical properties with time. This paper presents a new method for reconstruction of the baseline signal, which can compensate for the above influences and improve the accurateness of damage diagnosis. The method utilises 3D laser vibrometry measurements in conjunction with high-fidelity FE simulations. This paper also describes an application of this method to the reconstruction of the baseline signal and detection of damage in beam and plate structures.

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“…A recent work in Ref. presents the application of the LISA method for identification of elastic constants of a laminated composite plate. The LISA model used is based on a 2‐D formulation in order to reduce the computational time of the optimisation procedure.…”

Section: Introductionmentioning

confidence: 99%

“…The current paper builds on and extends the work presented in Refs. . The paper aims to combine wave propagation modelling with laser vibrometry measurements for identification of material elastic constants of thin plates.…”

Section: Introductionmentioning

confidence: 99%

Identification of material properties - efficient modelling approach based on guided wave propagation and spatial multiple signal classification

Ambroziński

Paćko

Pieczonka

et al. 2015

Struct. Control Health Monit.

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Modern structures are often designed using new types of lightweight materials of interesting properties. Accurate information on physical properties of these materials is a key element of every stage of lifecycle from design through maintenance to retirement. Although there are numerous experimental methods that can be used for material testing, only a small handful of these methods provide required information on material parameters in a nondestructive and in-operational manner, assuring high level of accuracy.The paper demonstrates application of a method that can be used to estimate material properties of engineering structures. The method is based on guided wave propagation and dispersion characteristics. The proposed approach combines three recently developed elements, that is, efficient numerical, experimental and image processing analyses: (i) wave propagation modelling is based on two finite difference approaches, that is, the semianalytical finite difference method and the 3-D local interaction simulation approach implemented with a multigeneral-purpose computing on graphics processing units platform to avoid numerical discrepancies and to reduce the computational effort; (ii) experimental testing utilises noncontact, scanning laser vibrometry; and (iii) image processing involves spatial multiple signal classification to improve dispersion curve estimation. This unique combination offers a reliable approach for material parameter estimation. The proposed method is fully nondestructive and can be performed online under varying operational conditions. The method is demonstrated using Young's modulus estimation of an aluminium plate. The results are compared using the traditional destructive approach based on a three-point bending test. Figure 3. Examples of cross-sections taken for the 2-D spectra shown in Figure 2 for: (a) 0.4 MHz and (b) 0.75 MHz. 976L. AMBROZINSKI ET AL.

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An Optimisation Scheme Based on the Local Interaction Simulation Approach and Lamb Waves for Elastic Property Estimation in Multi-Layered Composites

Cited by 9 publications

References 22 publications

Acoustic emission source characterisation using evolutionary optimisation

Acoustic emission source characterisation using evolutionary optimisation

A model‐based method for damage detection with guided waves

Identification of material properties - efficient modelling approach based on guided wave propagation and spatial multiple signal classification

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