Print Email Facebook Twitter Identifying critical elements in sewer networks using graph-theory Title Identifying critical elements in sewer networks using graph-theory Author Meijer, D.H. (TU Delft Sanitary Engineering; Deltares) van Bijnen, J.A.C. (TU Delft Sanitary Engineering; M. van Bijnen Advies) Langeveld, J.G. (TU Delft Sanitary Engineering; Partners4UrbanWater) Korving, J.L. (TU Delft Mathematical Physics; Deltares) Post, J.A.B. (Partners4UrbanWater) Clemens, F.H.L.R. (TU Delft Sanitary Engineering; Deltares) Date 2018 Abstract Underground water infrastructure is essential for life in cities. The aging of these infrastructures requires maintenance strategies to maintain a minimum service level. Not all elements are equally important for the functioning of the infrastructure as a whole. Identifying the most critical elements in a network is crucial for formulating asset management strategies. The graph theory is presented as a means to identify the most critical elements in a network with respect to malfunctioning of the system as a whole. As opposed to conventional methods, the proposed method does not rely on iterative hydraulic calculations; instead, the structure of the network is taken as a starting point. In contrast to methods applied in practise, the results are independent on the chosen test-load. Because of the limited calculation effort, the method allows the analysis of large networks that are now, for practical reasons, beyond the scope of methods applied so-far. Subject 1D-networksAsset managementCritical sewersGraph-theorySewer systemsOA-Fund TU Delft To reference this document use: http://resolver.tudelft.nl/uuid:436b7c15-5e8a-4ac2-a2e2-62a5373bd57d DOI https://doi.org/10.3390/w10020136 ISSN 2073-4441 Source Water, 10 (2) Part of collection Institutional Repository Document type journal article Rights © 2018 D.H. Meijer, J.A.C. van Bijnen, J.G. Langeveld, J.L. Korving, J.A.B. Post, F.H.L.R. Clemens Files PDF water_10_00136_v2.pdf 6.19 MB Close viewer /islandora/object/uuid:436b7c15-5e8a-4ac2-a2e2-62a5373bd57d/datastream/OBJ/view