Prediction Models for Annual Break Rates of Water Mains-Reference-Cited by-同舟云学术

Prediction Models for Annual Break Rates of Water Mains

Published:2009-02 Issue:1 Volume:23 Page:47-54
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Wang Yong¹²³,Zayed Tarek¹²³,Moselhi Osama¹²³

Affiliation:

1. Former Graduate Student, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Quebec, Canada.

2. Associate Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Quebec, Canada.

3. Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Quebec, Canada.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3828%282009%2923%3A1%2847%29

Reference37 articles.

1. Prediction of Water Pipe Asset Life Using Neural Networks

2. Al-Aghbar A. (2005). “Automated selected trenchless technology for the rehabilitation of water mains.” MS thesis Dept. of Building Civil and Environmental Engineering Concordia Univ. Canada.

3. Andreou S. A. and Marks D. H. (1986). “Maintenance planning strategies for large diameter cast-iron mains.” AWWA Conf. Synopsis 365–372.

4. ASCE. (2005). “Report card for America’s infrastructure.” ⟨http://www.asce.org/reportcard/2005/page.cfm?id=24⟩ (Oct. 5 2006).

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