Underground Sewer Networks Renewal Complexity Assessment and Trenchless Technology: A Bayesian Belief Network and GIS Framework-Reference-Cited by-同舟云学术

Underground Sewer Networks Renewal Complexity Assessment and Trenchless Technology: A Bayesian Belief Network and GIS Framework

Published:2020-05 Issue:2 Volume:11 Page:04019058
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Abebe Yekenalem¹^ORCID,Tesfamariam Solomon²

Affiliation:

1. Ph.D. Candidate, School of Engineering, Univ. of British Columbia, 3333 University Way, Kelowna, BC, Canada V1V1V7 (corresponding author). ORCID: .

2. Professor, School of Engineering, Univ. of British Columbia, 3333 University Way, Kelowna, BC, Canada V1V1V7.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000441

Reference50 articles.

1. Assessing urban areas vulnerability to pluvial flooding using GIS applications and Bayesian Belief Network model

2. Analysis of pipe-bursting construction risks using probability-impact model;Adamtey S.;J. Eng. Des. Technol.,2018

3. Modeling the structural deterioration of urban drainage pipes: the state-of-the-art in statistical methods

4. Apeldoorn S. 2010. “Comparing the costs—Trenchless versus traditional methods.” Int. Society for Trenchless Technology Conf. Sydney: Australasian Society for Trenchless Technology.

5. ASCE. 2017. “2017 infrastructure report card.” Accessed May 20 2019. https://www.infrastructurereportcard.org.

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