TY - JOUR
T1 - Innovative method for assessment of underground sewer pipe condition
AU - Koo, Dae Hyun
AU - Ariaratnam, Samuel
N1 - Funding Information:
The authors would like to acknowledge project engineering consultants and the city of Phoenix water services department for funding this research. Additionally, the support of Geovision Geophysical Services and the Oyo Corporation should be acknowledged for their contribution to the field tests conducted in Japan.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006/7
Y1 - 2006/7
N2 - The accurate evaluation of current underground infrastructure must be done before any crucial decisions regarding lifecycle analysis, rehabilitation and replacement intervals and appropriate remedial methods can be made. Unfortunately, traditional technologies and management approaches have been limited by the use of insufficient data in the evaluation of the structural integrity of an aged infrastructure. This paper describes an innovative method for assessment of underground pipe, utilizing Ground Penetrating Radar (GPR) and Digital Scanning and Evaluation Technology (DSET) to collect accurate information about the condition of a buried pipeline. Prediction modeling, using logistic regression, to measure the extent of deterioration of the infrastructure system, is described. A case study applying this innovative technology to sections of large diameter PVC lined concrete pipe in the City of Phoenix, Arizona, is presented.
AB - The accurate evaluation of current underground infrastructure must be done before any crucial decisions regarding lifecycle analysis, rehabilitation and replacement intervals and appropriate remedial methods can be made. Unfortunately, traditional technologies and management approaches have been limited by the use of insufficient data in the evaluation of the structural integrity of an aged infrastructure. This paper describes an innovative method for assessment of underground pipe, utilizing Ground Penetrating Radar (GPR) and Digital Scanning and Evaluation Technology (DSET) to collect accurate information about the condition of a buried pipeline. Prediction modeling, using logistic regression, to measure the extent of deterioration of the infrastructure system, is described. A case study applying this innovative technology to sections of large diameter PVC lined concrete pipe in the City of Phoenix, Arizona, is presented.
KW - Evaluation
KW - Lifecycle prediction modeling
KW - Underground infrastructure
KW - Utility inspection
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U2 - 10.1016/j.autcon.2005.06.007
DO - 10.1016/j.autcon.2005.06.007
M3 - Article
AN - SCOPUS:33744506093
SN - 0926-5805
VL - 15
SP - 479
EP - 488
JO - Automation in construction
JF - Automation in construction
IS - 4
ER -