Monitoring buried infrastructure deformation using acoustic emissions

Deformation of soil bodies and buried infrastructure elements (i.e. soil-structure systems) generates acoustic emission (AE). Detecting this AE by coupling sensors to buried structural elements can provide information on asset condition and early warning of accelerating deformation behaviour. A nove...

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Main Authors: Helen Heather-Smith, Alister Smith, Neil Dixon, James Flint, James Wordingham
Format: Default Conference proceeding
Published: 2018
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Online Access:https://hdl.handle.net/2134/33538
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id rr-article-9428741
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spelling rr-article-94287412018-01-01T00:00:00Z Monitoring buried infrastructure deformation using acoustic emissions Helen Heather-Smith (2940699) Alister Smith (1260552) Neil Dixon (1258575) James Flint (1251738) James Wordingham (7176005) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Deformation of soil bodies and buried infrastructure elements (i.e. soil-structure systems) generates acoustic emission (AE). Detecting this AE by coupling sensors to buried structural elements can provide information on asset condition and early warning of accelerating deformation behaviour. A novel approach for deformation monitoring of buried steel infrastructure (e.g. pipes and pile foundations) using AE is described in the paper. The monitoring concept employs pre-existing, or newly built, buried steel infrastructure assets as waveguides. The propagation of AE through example pipes acting as waveguides has been modelled computationally using the program Disperse. A parametric study has been used to investigate the influence of key variables such as burial depth, surrounding soil type, internal environment, pipe diameter, wall thickness, frequency and mode type upon AE propagation and attenuation. Understanding the propagation and attenuation of AE is of fundamental importance for development of a monitoring strategy and specifically to determine the spacing of sensors deployed along infrastructure elements. The generation of AE due to soil-structure interaction mechanisms has been investigated using a programme of large direct shear tests of soil against steel plates under a range of conditions (e.g. soil type, plate surface conditions, stress level, strain rate). New, fundamental understanding of AE generation and propagation in buried infrastructure is enabling a framework to be developed for interpreting asset condition from AE measurements. The paper will introduce the approach developed, describe the parametric study of AE propagation and attenuation presenting example results, and show typical AE behaviour for soil-structure interaction obtained in the large shear tests. The implications for design of a monitoring framework will be discussed. 2018-01-01T00:00:00Z Text Conference contribution 2134/33538 https://figshare.com/articles/conference_contribution/Monitoring_buried_infrastructure_deformation_using_acoustic_emissions/9428741 CC BY-NC 4.0
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
untagged
Mechanical Engineering not elsewhere classified
spellingShingle Mechanical engineering not elsewhere classified
untagged
Mechanical Engineering not elsewhere classified
Helen Heather-Smith
Alister Smith
Neil Dixon
James Flint
James Wordingham
Monitoring buried infrastructure deformation using acoustic emissions
description Deformation of soil bodies and buried infrastructure elements (i.e. soil-structure systems) generates acoustic emission (AE). Detecting this AE by coupling sensors to buried structural elements can provide information on asset condition and early warning of accelerating deformation behaviour. A novel approach for deformation monitoring of buried steel infrastructure (e.g. pipes and pile foundations) using AE is described in the paper. The monitoring concept employs pre-existing, or newly built, buried steel infrastructure assets as waveguides. The propagation of AE through example pipes acting as waveguides has been modelled computationally using the program Disperse. A parametric study has been used to investigate the influence of key variables such as burial depth, surrounding soil type, internal environment, pipe diameter, wall thickness, frequency and mode type upon AE propagation and attenuation. Understanding the propagation and attenuation of AE is of fundamental importance for development of a monitoring strategy and specifically to determine the spacing of sensors deployed along infrastructure elements. The generation of AE due to soil-structure interaction mechanisms has been investigated using a programme of large direct shear tests of soil against steel plates under a range of conditions (e.g. soil type, plate surface conditions, stress level, strain rate). New, fundamental understanding of AE generation and propagation in buried infrastructure is enabling a framework to be developed for interpreting asset condition from AE measurements. The paper will introduce the approach developed, describe the parametric study of AE propagation and attenuation presenting example results, and show typical AE behaviour for soil-structure interaction obtained in the large shear tests. The implications for design of a monitoring framework will be discussed.
format Default
Conference proceeding
author Helen Heather-Smith
Alister Smith
Neil Dixon
James Flint
James Wordingham
author_facet Helen Heather-Smith
Alister Smith
Neil Dixon
James Flint
James Wordingham
author_sort Helen Heather-Smith (2940699)
title Monitoring buried infrastructure deformation using acoustic emissions
title_short Monitoring buried infrastructure deformation using acoustic emissions
title_full Monitoring buried infrastructure deformation using acoustic emissions
title_fullStr Monitoring buried infrastructure deformation using acoustic emissions
title_full_unstemmed Monitoring buried infrastructure deformation using acoustic emissions
title_sort monitoring buried infrastructure deformation using acoustic emissions
publishDate 2018
url https://hdl.handle.net/2134/33538
_version_ 1797553731351347200