Innovative method for assessment of underground sewer pipe condition

被引:88
作者
Koo, Dae-Hyun [1 ]
Ariaratnam, Samuel T.
机构
[1] Arizona State Univ, Dept Civil & Environm Engn, Fulton Sch Engn, Tempe, AZ 85287 USA
[2] Arizona State Univ, Del E Webb Sch Construct, Ira A Fulton Sch Engn, Tempe, AZ USA
关键词
underground infrastructure; utility inspection; evaluation; lifecycle prediction modeling;
D O I
10.1016/j.autcon.2005.06.007
中图分类号
TU [建筑科学];
学科分类号
0813 [建筑学];
摘要
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. (C) 2006 Elsevier B.V. All tights reserved.
引用
收藏
页码:479 / 488
页数:10
相关论文
共 16 条
[1]
*AM INT, 2002, BROCH AM PLAT T LOCK
[2]
ANDREWS ME, 1998, NRCC CPWA SEMINAR SE
[3]
ARIARATNAM ST, 2001, ASCE J INFRASTRUCTUR, V7, P160
[4]
*ASCE, 2004, REP CARD AM INFR 200
[5]
*ASCE, 1994, MAN REP ENG PRACT, V92
[6]
*CEITEC, 2001, 40551 CEITEC CERF
[7]
GUERCIO N, 2002, THESIS ARIZONA STATE
[8]
Hosmer W., 2000, Applied Logistic Regression, VSecond
[9]
OPTIMAL MAINTENANCE-RELATED DECISION-MAKING FOR DETERIORATING WATER DISTRIBUTION-SYSTEMS .1. SEMI-MARKOVIAN MODEL FOR A WATER MAIN [J].
LI, D ;
HAIMES, YY .
WATER RESOURCES RESEARCH, 1992, 28 (04) :1053-1061
[10]
MACLEOD CW, 2000, P CSCE 28 ANN C LOND, P41