Bibliographic citations
Briceño, J., Infantes, D. (2021). Influencia del coeficiente de rugosidad en la perdida de presión de la red de distribución de agua potable en el caserío de Sanjapampa-Huamachuco [Tesis, Universidad Privada Antenor Orrego - UPAO]. https://hdl.handle.net/20.500.12759/7103
Briceño, J., Infantes, D. Influencia del coeficiente de rugosidad en la perdida de presión de la red de distribución de agua potable en el caserío de Sanjapampa-Huamachuco [Tesis]. PE: Universidad Privada Antenor Orrego - UPAO; 2021. https://hdl.handle.net/20.500.12759/7103
@misc{renati/378579,
title = "Influencia del coeficiente de rugosidad en la perdida de presión de la red de distribución de agua potable en el caserío de Sanjapampa-Huamachuco",
author = "Infantes Carranza, Daniel Alfredo",
publisher = "Universidad Privada Antenor Orrego - UPAO",
year = "2021"
}
The present thesis project consists of evaluating the influence of the roughness coefficient on the pressure loss in an existing drinking water network located in the Caserio de Sanjapampa - Sánchez Carrión. Generally, all designers take this data roughness coefficients (150) from current regulations and are used in all designs of potable water networks in Peru. This data varies over time and should be taken into account so that the operation of the network is optimal for all the time it is designed. The roughness coefficient is calculated and estimated, using different methods presented by the waterCAD software (implicit evolutionary methods), these are supported by the use of Genetic Algorithms (GA). the roughness coefficient was calibrated with data obtained from the field (pressures). At the end, an analysis of the values obtained is carried out and a conclusion is made on them. All this is done in order to evaluate the behavior of the calibrated network with respect to the same network under standardized conditions. This water behavior responds to the minimum needs for a population. The value of the roughness coefficient between simulated and those observed in the field is 142.50, which would represent 5% of wear generated by the use in three years of operation of the network system.
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