Author: Xu, Chi
Title: Health condition assessment of underground water pipe monitored by fibre bragg sensory system
Advisors: Ni, Yiqing (CEE)
Degree: M.Sc.
Year: 2016
Subject: Hong Kong Polytechnic University -- Dissertations
Corporations -- Finance
Strategic planning
Executives
Water-pipes -- Maintenance and repair
Water-pipes -- Inspection
Underground pipelines -- Maintenance and repair
Underground pipelines -- Inspection
Department: Faculty of Construction and Environment
Pages: ix, 56 pages : illustrations
Language: English
Abstract: Due to the inevitable ageing and damage accumulation, the underground pipeline usually suffers from the risk of health failures. The appearance of a leak or burst happened in the underground pipeline would cause a severe social and economic consequence. To avoid it, this study attempts to assess the health condition of underground water pipes using a fibre optic sensory monitoring network in the DJWM system. The performance curves of the strain, temperature and water pressure responses are obtained after mathematic calculation. The monitored pipe operational conditions are classified by four different cases. Based on the recognised performance characteristics of physical parameters, autocorrelation and cross-correlation of the strain, temperature and water pressure data are examined in the research to extract the damage-sensitive features deeply. Three data-driven patterns, therefore, are identified at different cross-sections for judging whether anomalies occur in the monitored segment of the pipeline. A simulation of local anomalies is also conducted in this study to certify the effectiveness of the monitored system. Through this method, a global view of the pipe health monitoring are built, and the anomalies which have a global impact on pipes such as water cut off, or the local irregularities that are only found at some unique cross-sections, are detected.
Rights: All rights reserved
Access: restricted access

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/9064