Deformation of soil bodies and soil-structure systems generates acoustic emission (AE), which are high-frequency stress waves. Listening to this AE by coupling sensors to structural elements can provide information on asset condition and early warning of accelerating deformation behaviour. There is a need for experimentation to model the propagation of AE in buried pipe systems to enhance understanding of real behaviour. Analytical solutions are often based on many assumptions (e.g. homogeneity, isotropy, boundary conditions and material properties) and cannot exactly represent the behaviour of the in situ system. This paper details a series of experiments conducted on buried pipes to investigate AE attenuation in pipes due to couplings and soil surround. The attenuation coefficients reported provide guidance to engineers for designing sensor spacing along buried pipes for monitoring ground deformations, and active waveguide installation depths for slope deformation monitoring. Attenuation coefficients have been quantified for both air–pipe–air and air–pipe–soil trilayer systems for the frequency range of 20–30 kHz.
History
School
Architecture, Building and Civil Engineering
Published in
International Journal of Geotechnical Engineering
Volume
11
Issue
4
Pages
418-430
Citation
SMITH, A., DIXON, N. and FOWMES, G., 2017. Monitoring buried pipe deformation using acoustic emission: quantification of attenuation. International Journal of Geotechnical Engineering, 11(4), pp.418-430.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2016-08-17
Publication date
2016-09-01
Copyright date
2017
Notes
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geotechnical Engineering on 1st September 2016, available online: http://www.tandfonline.com/10.1080/19386362.2016.1227581.