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Identifying the hazard characteristics of pipes in water distribution systems by using the proportional hazards model: 2. Applications
The proportional hazards model is applied to a case study water main break database to identify the hazard characteristics in relation to the factors causing breaks for various categories of the pipes. The analysis showed that a distinction could be made as of when a group of the pipes reach constant hazard stage by using the methodology of building the proportional hazards models for multiple pipe breaks introduced inTheory part of this issue. Effects of the environmental factors that affect the pipe failures are also analyzed and physical interpretations of the phenomena are illustrated. The methodology can provide guidelines on determining a category of pipes that needs more preventive rehabilitation or replacements.
Identifying the hazard characteristics of pipes in water distribution systems by using the proportional hazards model: 2. Applications
The proportional hazards model is applied to a case study water main break database to identify the hazard characteristics in relation to the factors causing breaks for various categories of the pipes. The analysis showed that a distinction could be made as of when a group of the pipes reach constant hazard stage by using the methodology of building the proportional hazards models for multiple pipe breaks introduced inTheory part of this issue. Effects of the environmental factors that affect the pipe failures are also analyzed and physical interpretations of the phenomena are illustrated. The methodology can provide guidelines on determining a category of pipes that needs more preventive rehabilitation or replacements.
Identifying the hazard characteristics of pipes in water distribution systems by using the proportional hazards model: 2. Applications
KSCE J Civ Eng
Park, Suwan (author)
KSCE Journal of Civil Engineering ; 8 ; 669-677
2004-11-01
9 pages
Article (Journal)
Electronic Resource
English
Survival Analysis of Water Distribution Pipe Failure Data Using the Proportional Hazards Model
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