A probabilistic approach to modelling ultrasonic shear wave propagation in locally anisotropic heterogeneous media
Ferguson, Alistair S. and Tant, Katherine M.M. and Foodun, Mohammud and Mulholland, Anthony J. (2024) A probabilistic approach to modelling ultrasonic shear wave propagation in locally anisotropic heterogeneous media. Waves in Random and Complex Media. pp. 1-24. ISSN 1745-5049 (https://doi.org/10.1080/17455030.2024.2341283)
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Abstract
This article considers the propagation of a high-frequency time harmonic, elastic wave in a spatially heterogeneous, randomly layered material. The material is locally anisotropic, and the material properties change from one layer to the next by a random rotation of the associated slowness surface in the plane of wave propagation. The layer thicknesses and this rotation follow a stochastic (Markovian) process. This situation is found in ultrasonic wave propagation in polycrystalline materials; for example, in the ultrasonic non-destructive testing of welds and additively manufactured metallic components. This work focuses on monochromatic shear waves propagating in a two-dimensional plane. Using the differences in length scales between the ultrasound wavelength, the mean layer size, and the wave propagation distance, a small parameter is identified in the stochastic differential equation that emerges. Its infinitesimal generator leads to a Fokker-Planck equation via limit theorems involving this small parameter. A weak form of the Fokker-Planck equation is derived and then solved via a finite element package. The numerical solution to the Fokker-Planck equation is used to compute statistical moments of the power transmission coefficient. Finally, a parametric study on the effect of the degree of anisotropy (asphericity of the slowness surface) of the material on the transmitted energy is performed.
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Item type: Article ID code: 88888 Dates: DateEvent16 April 2024Published16 April 2024Published Online26 March 2024AcceptedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 22 Apr 2024 14:17 Last modified: 02 May 2024 01:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/88888