Abstract
Sewer deterioration is a problem that affects many cities of the world. This affects the structural state of the sewer systems, as well as its hydraulic capacity and the service level. As a consequence, the sewer system stakeholders are working on the development of a proactive sewer management to make decision in time and avoid public emergencies. Therefore, the objective of this work was to predict the variable state using a clustering algorithm (k-means) in Bogotá‘s sewer pipes based on its physical characteristics. Among the most representative results was to find a relationship between pipes’ characteristics and their structural state (chi-squared). Furthermore, the slope and ground level variables were the most related ones to the state of the pipes. The detected relationships are linear and can be used to make management decisions when pipes are clustered and the clusters are mapped on a principal component plane.
| Translated title of the contribution | Las características físicas de las tuberías como indicadores de la condición estructural y su utilización para tomar decisiones en la gestión de activos del sistema de alcantarillado |
|---|---|
| Original language | English |
| Pages (from-to) | 15-21 |
| Number of pages | 7 |
| Journal | Ingenieria e Investigacion |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2016 |
Keywords
- Bogota’s sewer system
- Cluster analysis
- K-means
- Principal components analysis (PCA)
- Proactive sewer mana-gement
- Sewer asset management
- Sewer pipes
- Structural pipes state