Innovative method for assessment of underground sewer pipe condition

Dae Hyun Koo, Samuel Ariaratnam

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)479-488
Number of pages10
JournalAutomation in Construction
Volume15
Issue number4
DOIs
StatePublished - Jul 2006

Fingerprint

Sewers
Pipe
Concrete pipe
Structural integrity
Polyvinyl chlorides
Patient rehabilitation
Deterioration
Logistics
Radar
Pipelines
Scanning

Keywords

  • Evaluation
  • Lifecycle prediction modeling
  • Underground infrastructure
  • Utility inspection

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Innovative method for assessment of underground sewer pipe condition. / Koo, Dae Hyun; Ariaratnam, Samuel.

In: Automation in Construction, Vol. 15, No. 4, 07.2006, p. 479-488.

Research output: Contribution to journalArticle

@article{0a020662846648faa359f88d585da1f6,
title = "Innovative method for assessment of underground sewer pipe condition",
abstract = "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.",
keywords = "Evaluation, Lifecycle prediction modeling, Underground infrastructure, Utility inspection",
author = "Koo, {Dae Hyun} and Samuel Ariaratnam",
year = "2006",
month = "7",
doi = "10.1016/j.autcon.2005.06.007",
language = "English (US)",
volume = "15",
pages = "479--488",
journal = "Automation in Construction",
issn = "0926-5805",
publisher = "Elsevier",
number = "4",

}

TY - JOUR

T1 - Innovative method for assessment of underground sewer pipe condition

AU - Koo, Dae Hyun

AU - Ariaratnam, Samuel

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

UR - http://www.scopus.com/inward/record.url?scp=33744506093&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33744506093&partnerID=8YFLogxK

U2 - 10.1016/j.autcon.2005.06.007

DO - 10.1016/j.autcon.2005.06.007

M3 - Article

VL - 15

SP - 479

EP - 488

JO - Automation in Construction

JF - Automation in Construction

SN - 0926-5805

IS - 4

ER -