Maximizing the accuracy of finite element simulation of elastic wave propagation in polycrystals
File(s)
Author(s)
Huang, M
Sha, G
Huthwaite, P
Rokhlin, SI
Lowe, MJS
Type
Journal Article
Abstract
Three-dimensional finite element (FE) modelling, with representation of materials at grain scale in realistic sample volumes, is capable of accurately describing elastic wave propagation and scattering within polycrystals. A broader and better future use of this FE method requires several important topics to be fully understood, and this work presents studies addressing this aim. The first topic concerns the determination of effective media parameters, namely, scattering induced attenuation and phase velocity, from measured coherent waves. This work evaluates two determination approaches, through-transmission and fitting, and it is found that these approaches are practically equivalent and can thus be used interchangeably. For the second topic of estimating modelling errors and uncertainties, this work performs thorough analytical and numerical studies to estimate those caused by both FE approximations and statistical considerations. It is demonstrated that the errors and uncertainties can be well suppressed by using a proper combination of modelling parameters. For the last topic of incorporating FE model information into theoretical models, this work presents elaborated investigations and shows that to improve agreement between the FE and theoretical models, the symmetry boundary conditions used in FE models need to be considered in the two-point correlation function, which is required by theoretical models.
Date Issued
2020-10-01
Date Acceptance
2020-09-11
Citation
Journal of the Acoustical Society of America, 2020, 148 (4), pp.1890-1910
ISSN
0001-4966
Publisher
Acoustical Society of America
Start Page
1890
End Page
1910
Journal / Book Title
Journal of the Acoustical Society of America
Volume
148
Issue
4
Copyright Statement
© 2020 Acoustical Society of America.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000581764300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Acoustics
Audiology & Speech-Language Pathology
DISPERSION ANALYSIS
RANDOM-MEDIA
GRAIN-SIZE
SCATTERING
ATTENUATION
VELOCITY
DIFFERENCE
SCALAR
MODEL
Publication Status
Published
Date Publish Online
2020-10-08