Literature DB >> 28040026

Investigation of guided wave propagation in pipes fully and partially embedded in concrete.

Eli Leinov1, Michael J S Lowe1, Peter Cawley1.   

Abstract

The application of long-range guided-wave testing to pipes embedded in concrete results in unpredictable test-ranges. The influence of the circumferential extent of the embedding-concrete around a steel pipe on the guided wave propagation is investigated. An analytical model is used to study the axisymmetric fully embedded pipe case, while explicit finite-element and semi-analytical finite-element simulations are utilised to investigate a partially embedded pipe. Model predictions and simulations are compared with full-scale guided-wave tests. The transmission-loss of the T(0,1)-mode in an 8 in. steel pipe fully embedded over an axial length of 0.4 m is found to be in the range of 32-36 dB while it reduces by a factor of 5 when only 50% of the circumference is embedded. The transmission-loss in a fully embedded pipe is mainly due to attenuation in the embedded section while in a partially embedded pipe it depend strongly on the extent of mode-conversion at entry to the embedded-section; low loss modes with energy concentrated in the region of the circumference not-covered with concrete have been identified. The results show that in a fully embedded pipe, inspection beyond a short distance will not be possible, whereas when the concrete is debonded over a fraction of the pipe circumference, inspection of substantially longer lengths may be possible.

Year:  2016        PMID: 28040026     DOI: 10.1121/1.4972118

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

1.  On the scattering of torsional waves from axisymmetric defects in buried pipelines.

Authors:  Wenbo Duan; Ray Kirby; Peter Mudge
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

2.  Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave.

Authors:  Zi Zhang; Hong Pan; Xingyu Wang; Zhibin Lin
Journal:  Sensors (Basel)       Date:  2022-07-19       Impact factor: 3.847

3.  Strategies for guided acoustic wave inspection using mobile robots.

Authors:  Jie Zhang; Xudong Niu; Anthony J Croxford; Bruce W Drinkwater
Journal:  Proc Math Phys Eng Sci       Date:  2022-03-02       Impact factor: 2.704

  3 in total

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