Ultrasonic attenuation and phase velocity of high-density polyethylene pipe material

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Title: Ultrasonic attenuation and phase velocity of high-density polyethylene pipe material
Author(s): Egerton, JS
Lowe, MJS
Huthwaite, P
Halai, HV
Item Type: Journal Article
Abstract: Knowledge of acoustic properties is crucial for ultrasonic or sonic imaging and signal detection in nondestructive evaluation (NDE), medical imaging, and seismology. Accurately and reliably obtaining these is particularly challenging for the NDE of high-density polyethylene (HDPE), such as is used in many water or gas pipes, because the properties vary greatly with frequency, temperature, direction and spatial location. Therefore the work reported here was undertaken in order to establish a basis for such a multiparameter description. The approach is general but the study specifically addresses HDPE and includes measured data values. Applicable to any such multiparameter acoustic properties dataset is a devised regression method that uses a neural network algorithm. This algorithm includes constraints to respect the Kramers-Kronig causality relationship between speed and attenuation of waves in a viscoelastic medium. These constrained acoustic properties are fully described in a multidimensional parameter space to vary with frequency, depth, temperature, and direction. The resulting uncertainties in acoustic properties dependence on the above variables are better than 4% and 2%, respectively, for attenuation and phase velocity and therefore can prevent major defect imaging errors.
Publication Date: 7-Mar-2017
Date of Acceptance: 2-Feb-2017
URI: http://hdl.handle.net/10044/1/45868
DOI: https://dx.doi.org/10.1121/1.4976689
ISSN: 0001-4966
Publisher: Acoustical Society of America
Start Page: 1535
End Page: 1545
Journal / Book Title: JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
Volume: 141
Issue: 3
Copyright Statement: © 2017 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article appeared in The Journal of the Acoustical Society of America 141, 1535 (2017); doi: http://dx.doi.org/10.1121/1.4976689 and may be found at https://dx.doi.org/10.1121/1.4976689
Sponsor/Funder: EDF Energy R&D UK Centre
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: PO# 4540110473
EP/L022125/1
EP/020207/1
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Acoustics
Audiology & Speech-Language Pathology
POWER-LAW
WAVE PROPAGATION
NEURAL-NETWORK
DISPERSION
SPECTROSCOPY
MEDIA
EQUATION
CAUSAL
MODEL
Acoustics
MD Multidisciplinary
Publication Status: Published
Appears in Collections:Faculty of Engineering
Mechanical Engineering
Faculty of Natural Sciences



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