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dc.contributor.authorTavakoli Taba, S.
dc.contributor.authorRahnamayiezekavat, Payam
dc.contributor.authorAlipour Esgandani, G.
dc.contributor.authorWang, Xiangyu
dc.contributor.authorBernold, L.
dc.date.accessioned2017-01-30T12:41:52Z
dc.date.available2017-01-30T12:41:52Z
dc.date.created2016-07-10T19:30:24Z
dc.date.issued2015
dc.identifier.citationTavakoli 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24245
dc.identifier.doi10.1155/2015/601859
dc.description.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.

dc.publisherHindawi Publishing Corporation
dc.titleA multidimensional analytical approach for identifying and locating large utility pipes in underground infrastructure
dc.typeJournal Article
dcterms.source.volume2015
dcterms.source.startPage1
dcterms.source.endPage10
dcterms.source.issn1550-1329
dcterms.source.titleInternational Journal of Distributed Sensor Networks
curtin.note

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

curtin.departmentDepartment of Construction Management
curtin.accessStatusOpen access


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