Deakin University
Browse

Field study on proactive pipe condition assessment using hydroacoustic noise

Download (3.34 MB)
Version 3 2025-09-09, 08:03
Version 2 2025-09-01, 05:26
Version 1 2024-11-20, 03:44
journal contribution
posted on 2025-09-09, 08:03 authored by W Zeng, STN Nguyen, M Lambert, James GongJames Gong
Condition assessment of water transmission pipelines is of important necessity for prioritizing rehabilitation and preventing catastrophic pipe failure. Hydraulic transient analysis has been investigated for three decades for this purpose and applied to many field studies. However, the significant pipe vibrations caused by the transient generation process and the limited energy and bandwidth of conventional discrete transient pressure waves (e.g., step and pulse waves) limit the accuracy and resolution of the analysis. This paper reports a pilot field study of noninvasive and nondestructive pipe condition assessment using small amplitude and persistent hydroacoustic noise instead of conventional large and discrete hydraulic transient waves. By opening a discharge valve installed at an existing access point, such as an air valve, on the field pipe, hydroacoustic noise was generated at the valve due to the turbulence of the discharge. The hydroacoustic noise was measured by pressure transducers at this access point as well as some other access points along the field pipe. A signal deconvolution process was then applied to the measured hydraulic pressures to transfer them to a compositional impulse response function (IRF), which is composed of IRFs of different pipe sections. A mathematical model was derived to interpret the anomaly-induced spikes on the deconvolution trace. A time-shifting process on the compositional IRFs was proposed to find the locations with pipe condition changes from a specific direction of the pipe. The field study has shown that small-amplitude persistent hydroacoustic noise can replace conventional large hydraulic transient waves for pipe condition assessment.

History

Related Materials

Location

London, Eng.

Open access

  • Yes

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Structural Health Monitoring

Volume

24

Pagination

2052-2063

ISSN

1475-9217

eISSN

1741-3168

Issue

4

Publisher

SAGE Publications

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC