Numerical simulations of elastic wave propagation using graphical processing units—Comparative study of high-performance computing capabilities

Paćko, Paweł; Bielak, T.; Spencer, Andrew; Uhl, Tadeusz; Staszewski, Wiesław J.; Worden, Keith; Barszcz, Tomasz; Russek, Pawel Grzegorz; Wiatr, K.

doi:10.1016/j.cma.2015.03.002

Cited by 28 publications

(13 citation statements)

References 20 publications

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“…Delsanto et al first derived the one-dimensional, two-dimensional, and 3D LISA formulations for isotropic, heterogeneous materials executed on Connection Machines [12][13][14]. LISA underwent considerable progress during the past decade, with its application in metallic structures [15,16], extension to general anisotropic materials [17][18][19], coupled field capabilities [20], hybridization with other numerical methods [21,22], and execution on powerful graphics processing units (GPUs) with compute unified device architecture (CUDA) technology [23][24][25]. In the authors' recent study, a penalty method was deployed to introduce contact dynamics into the LISA formulation to simulate contact acoustic nonlinearity [26].…”

Section: Introductionmentioning

confidence: 99%

Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

Shen

Cesnik

2017

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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This paper presents the local interaction simulation approach (LISA) for efficient modeling of linear and nonlinear ultrasonic guided wave active sensing of complex structures. Three major modeling challenges are considered: material anisotropy with damping effects, nonlinear interactions between guided waves and structural damage, as well as geometric complexity of waveguides. To demonstrate LISA's prowess in addressing such challenges, carefully designed numerical case studies are presented. First, guided wave propagation and attenuation in carbon fiber composite panels are simulated. The numerical results are compared with experimental measurements obtained from scanning laser Doppler vibrometry (SLDV) to illustrate LISA's capability in modeling damped wave propagation in anisotropic medium. Second, nonlinear interactions between guided waves and structural damage are modeled by integrating contact dynamics into the LISA formulations. Comparison with commercial finite element software reveals that LISA can accurately simulate nonlinear ultrasonics but with much higher efficiency. Finally, guided wave propagation in geometrically complex waveguides is studied. The numerical example of multimodal guided wave propagation in a rail track structure with a fatigue crack is presented, demonstrating LISA's versatility to model complex waveguides and arbitrary damage profiles. This paper serves as a comprehensive, systematic showcase of LISA's superb capability for efficient modeling of transient dynamic guided wave phenomena in structural health monitoring (SHM).

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Section: Introductionmentioning

confidence: 99%

Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

Shen

Cesnik

2017

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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“…In fact, the methodology is generally applicable as long as the forward model adopted in the approach can actually model the transduction and instrumentation physics. As shown in one study, the relevant physics can be accommodated in an FE model; for the purposes of the current paper, the physics can also be captured in the LISA formulation—the commercial versions of the code used here allow modelling of piezoelectric transducers.…”

Section: Discussionmentioning

confidence: 99%

“…The calculations were reduced from hours to minutes, and it became feasible to use the 3D approach in an optimisation. A detailed benchmarking exercise on 3D LISA simulations can be found in one study …”

Section: Methodsmentioning

confidence: 99%

“…The final case study looks at Hsu‐Nielsen sources again but this time makes use of a full 3D LISA model. Initial attempts at the full 3D version of the approach proved almost impossible, due to the computational cost of the wave modelling needed for each objective function evaluation for the optimisation algorithm; this problem was solved by implementing the 3D LISA algorithm on a graphics‐card‐based computing engine—a CUDA system …”

Section: Introductionmentioning

confidence: 99%

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Acoustic emission source characterisation using evolutionary optimisation

Worden

Spencer

Paćko

et al. 2018

Strain

Self Cite

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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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“…On this topic, the results of a study quantifying the error introduced by the so-called "staircase" problem in LISA models can be find for example in [86].…”

Section: Proof Of Concept Of the Proposed Rail Defect Detection Systementioning

confidence: 99%

Non-Contact Ultrasonic Guided Wave Inspection of Rails: Next Generation Approach

Mariani

Nguyen

Zhu

et al. 2016

2016 Joint Rail Conference

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The University of California at San Diego (UCSD), under a Federal Railroad Administration (FRA) Office of Research and Development (R&D) grant, is developing a system for high-speed and non-contact rail defect detection. A prototype using an ultrasonic air-coupled guided wave signal generation and air-coupled signal detection, paired with a real-time statistical analysis algorithm, has been realized. This system requires a specialized filtering approach based on electrical impedance matching due to the inherently poor signal-to-noise ratio of air-coupled ultrasonic measurements in rail steel. Various aspects of the prototype have been designed with the aid of numerical analyses. In particular, simulations of ultrasonic guided wave propagation in rails have been performed using a Local Interaction Simulation Approach (LISA) algorithm. The system’s operating parameters were selected based on Receiver Operating Characteristic (ROC) curves, which provide a quantitative manner to evaluate different detection performances based on the trade-off between detection rate and false positive rate. The prototype based on this technology was tested in October 2014 at the Transportation Technology Center (TTC) in Pueblo, Colorado, and again in November 2015 after incorporating changes based on lessons learned.

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Numerical simulations of elastic wave propagation using graphical processing units—Comparative study of high-performance computing capabilities

Cited by 28 publications

References 20 publications

Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

Acoustic emission source characterisation using evolutionary optimisation

Non-Contact Ultrasonic Guided Wave Inspection of Rails: Next Generation Approach

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