Non-deposition self-cleansing models for large sewer pipes

Abstract

Multiple models from the literature and experimental datasets have been developed and collected to predict sediment transport in sewers. However, all these models were developed for smaller sewer pipes, i.e. using experimental data collected on pipes with diameters smaller than 500 mm. To address this issue, new experimental data were collected on a larger, 595 mm pipe located in a laboratory at the University of los Andes. Two new self-cleansing models were developed using this dataset. Both models predict the sewer self-cleansing velocity for the cases of non-deposition with and without deposited bed. The newly developed and existing models were then evaluated and compared on the basis of the most recently collected and previously published datasets.

Se han desarrollado y recopilado múltiples modelos de la literatura y conjuntos de datos experimentales para predecir el transporte de sedimentos en alcantarillas. Sin embargo, todos estos modelos se desarrollaron para tuberías de alcantarillado más pequeñas, es decir, utilizando datos experimentales recopilados en tuberías con diámetros menores a 500 mm. Para abordar este problema, se recopilaron nuevos datos experimentales en una tubería más grande, de 595 mm, ubicada en un laboratorio de la Universidad de los Andes. Se desarrollaron dos nuevos modelos de autolimpieza utilizando este conjunto de datos. Ambos modelos predicen la velocidad de autolimpieza del alcantarillado para los casos de no deposición con y sin lecho depositado.