Print Email Facebook Twitter Sediment transport prediction in sewer pipes during flushing operation Title Sediment transport prediction in sewer pipes during flushing operation Author Montes, Carlos (Universidad de los Andes) Ortiz, Hachly (Universidad de los Andes) Vanegas, Sergio (Universidad de los Andes) Kapelan, Z. (TU Delft Sanitary Engineering) Berardi, Luigi (University G. D'Annunzio of Chieti-Pescara) Saldarriaga, Juan (Universidad de los Andes) Date 2021 Abstract This paper presents a novel model for predicting the sediment transport rate during flushing operation in sewers. The model was developed using the Evolutionary Polynomial Regression Multi-Objective Genetic Algorithm (EPR-MOGA) methodology applied to new experimental data collected. Using the new model, a series of design charts were developed to predict the sediment transport rate and the required flushing operation time for several pipe diameters. Accurate results (i.e. sediment transport rates) were obtained when applied to a case study in a combined sewer pipe in Marseille, as reported in the literature. The novelty of the model is the inclusion of the pipe slope, the inflow ‘dam break’ hydrograph, and the sediment properties as explanatory parameters. The new model can be used to predict flushing efficiency and design new flushing cleaning schedules in sewer systems. Subject Flushing efficiencysediment transportsewer cleansingsewer flushing To reference this document use: http://resolver.tudelft.nl/uuid:ce91424c-d760-4fa4-aa6b-b75b6f7179dc DOI https://doi.org/10.1080/1573062X.2021.1948077 Embargo date 2022-07-16 ISSN 1573-062X Source Urban Water Journal, 19 (1), 1-14 Bibliographical note Postprint requested Part of collection Institutional Repository Document type journal article Rights © 2021 Carlos Montes, Hachly Ortiz, Sergio Vanegas, Z. Kapelan, Luigi Berardi, Juan Saldarriaga Files PDF Montes_e_tal_2021_Sewer_F ... g_PURE.pdf 15.99 MB Close viewer /islandora/object/uuid:ce91424c-d760-4fa4-aa6b-b75b6f7179dc/datastream/OBJ/view