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PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping
An Analytic Network Process Condition Assessment Model for Sewer Pipelines
A. Hawari1, F. Alkadour2 and T. Zayed2
1Department of Civil and Architectural Engineering, Qatar University, Doha, Qatar
A. Hawari, F. Alkadour, T. Zayed, "An Analytic Network Process Condition Assessment Model for Sewer Pipelines", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 14, 2015. doi:10.4203/ccp.109.14
Keywords: sewer pipelines, influencing factors, factor impact, analytic network process, condition assessment, model validation.
As sewer pipelines age, the need for their upgrading, maintaining, and repairing arises. Simultaneously, inadequate sewer pipelines might lead to catastrophic failures. Thus, decision makers must have a detailed knowledge on their network condition. Lack of awareness of the sewer network's condition is a major issue in Qatar where no attempts have been made to develop a proper tool for assisting decision makers in sewer pipeline rehabilitation planning. In order to give a precise prediction of the sewer pipelines' condition, all critical factors that might have an influence on their deterioration must be taken into consideration. This paper: (1) recognises the primary factors affecting sewer pipeline conditions in Qatar and (2) determines the degree to which each factor impacts on sewer pipeline conditions. Going through the literature and meeting with experts, the factors influencing sewer pipelines condition were first identified and grouped into three main categories, namely, physical, operational, and environmental factors. A total of 17 sub-factors were considered for sewer pipelines under gravity. Questionnaires were distributed to experts in Qatar to perform a pairwise comparison between the identified factors. Based on the questionnaire results, the importance weights of each factor were determined using the analytical network process technique. In order to validate the developed condition assessment model, data sets were obtained from the Ashghal Public Work Authority and compared with the model's output. This is a platform to help in building reliable condition assessment models for sewer pipelines in Qatar.
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