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

Authors
  • Egerton, J S1
  • Lowe, M J S1
  • Huthwaite, P1
  • Halai, H V2
  • 1 Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, United Kingdom. , (United Kingdom)
  • 2 Nuclear Generation Ltd., Barnwood, Gloucester, Gloucestershire GL4 3RS, United Kingdom. , (United Kingdom)
Type
Published Article
Journal
The Journal of the Acoustical Society of America
Publication Date
Mar 01, 2017
Volume
141
Issue
3
Pages
1535–1535
Identifiers
DOI: 10.1121/1.4976689
PMID: 28372132
Source
Medline
Language
English
License
Unknown

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.

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