Repositório Institucional da Universidade de Aveiro > Departamento de Engenharia Civil > CIVIL - Comunicações >
 Methodology to evaluate the risk of a vulnerable failure scenario in a water pipe network
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/7821

title: Methodology to evaluate the risk of a vulnerable failure scenario in a water pipe network
authors: Duarte, A. A. L. S.
Pinto, J.
Afonso, L.
Bentes, I.
Varum, H.
Varajão, J.
Agarwal, J.
keywords: Risk analysis
Water pipe networks
Failure scenarios
issue date: 2010
publisher: WIT Press
abstract: The emerging theory of vulnerability of water pipe networks intends to give an important contribution for the design of this important component of water supply systems, as well as, for the assessment, rehabilitation and management of the existing ones. The fundamental contribution of this theory is to design water pipe networks more robust since it is able to identify the most vulnerable parts of them. The concept of vulnerability is associated with the disproportionateness of the failure consequences in relation to the initial damage. It is not a theory of robustness. The main objective of this research work is to explain how the risk of a vulnerable failure scenario of a water pipe network may be accessed and how the theory of vulnerability can be relevant.
URI: http://hdl.handle.net/10773/7821
ISBN: 978-1-84564-472-7
ISSN: 1743-3517
publisher version/DOI: http://dx.doi.org/10.2495/RISK100431
source: Seventh International Conference on Computer Simulation of Risk Analysis and Hazard Mitigation & Fifth International Conference on Prevention, Assessment, Rehabilitation and Development of Brownfield Sites
appears in collectionsCIVIL - Comunicações

files in this item

file description sizeformat
I_134.pdf462.81 kBAdobe PDFview/open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2