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    A multidimensional analytical approach for identifying and locating large utility pipes in underground infrastructure

    241379_241379.pdf (5.889Mb)
    Access Status
    Open access
    Authors
    Tavakoli Taba, S.
    Rahnamayiezekavat, Payam
    Alipour Esgandani, G.
    Wang, Xiangyu
    Bernold, L.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Tavakoli Taba, S. and Rahnamayiezekavat, P. and Alipour Esgandani, G. and Wang, X. and Bernold, L. 2015. A multidimensional analytical approach for identifying and locating large utility pipes in underground infrastructure. International Journal of Distributed Sensor Networks. 2015: pp. 1-10.
    Source Title
    International Journal of Distributed Sensor Networks
    DOI
    10.1155/2015/601859
    ISSN
    1550-1329
    School
    Department of Construction Management
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/3.0/

    URI
    http://hdl.handle.net/20.500.11937/24245
    Collection
    • Curtin Research Publications
    Abstract

    The population growth, technological improvements, and the need for repairing old or installing new utilities result in a high demand for trenching and drilling activities. However, penetrating the subsurface incurs the risk of damaging existing underground facilities because they were not properly documented, if at all. Ground Penetrating Radar (GPR) constitutes a well-established technology that uses electromagnetic waves to identify objects underground by detecting their reflections. The work presented in this paper focuses on the timing and other characteristics of radar pulses reflected from the buried utilities. It is hypothesised that integrating the knowledge of construction practice, geophysical principles, and electromagnetic wave propagation behaviour in various soil conditions will improve the reliability and accuracy of GPR. This paper presents the results of field experiments that studied the effects of large void such as sinkholes or drainage pipes in several undergrounds. It provides important insights into the features and patterns that can be used to improve current methods.

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