Detecting wire breaks in prestressed concrete pipes: an easy-to-install distributed fibre acoustic sensing approach

Author:

Rueda-García Lisbel1ORCID,Tasquer-Val Daniel1,Calderón-Bofías Pedro2,Calderón Pedro A3

Affiliation:

1. Concrete Science and Technology University Institute (ICITECH), Universitat Politècnica de València (UPV), Valencia, Spain

2. CalSens S.L., Valencia, Spain

3. Department of Construction Engineering and Civil Engineering Projects, Concrete Science and Technology University Institute (ICITECH), Universitat Politècnica de València (UPV), Valencia, Spain

Abstract

The escalating water stress resulting from drought conditions in certain global regions underscores the imperative to minimize water losses, particularly within drinking water supply networks. One way to achieve this is by improving pipe monitoring systems to allow the early detection of possible structural collapse of the pipes. One type of pipe widely used in water mains is the prestressed concrete pipe, whose main cause of structural failure is the breakage of prestressing wires. This research paper analyses the ability of an easy-to-install distributed acoustic sensing (DAS) monitoring system using fibre optics to identify and locate the acoustic signal produced by the wire breaks in prestressed concrete pipes to make early detection of possible structural failures. For this purpose, a large experimental pipeline stretch was built (approximately 1 m in diameter and 40 m long) where wire breaks were simulated. Several variables were studied: the origin of the signal (to distinguish wire breaks from events of a similar nature), the location of the event in the pipe, the presence of background noise, the internal water pressure, the length of the prestressed wire not subject to bonding with the concrete and the presence of water in the pipe. The results showed that the DAS system could detect almost all events. In addition, two of the multiple parameters measured in the signals, the zero-crossing rate and the short-time energy, made it possible to precisely determine the signal’s origin and the event’s location. Another parameter measured, the duration of the signal in this case, made it possible to differentiate whether the events had occurred when the pipe was empty or full of water. These and other results in this paper present a highly promising perspective on using this DAS system in water main monitoring.

Funder

Agència Valenciana de la Innovació

Publisher

SAGE Publications

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