Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

• Main Authors: Liliana López-Kleine, Nathalie Hernandez, Andres Torres
• Format: Article
• Language: English
• Published: Universidad Nacional de Colombia 2016-09-01
• Series: Ingeniería e Investigación
• Subjects: k-means; sewer asset management; cluster analysis; Principal Components Analysis (PCA); proactive sewer management; sewer pipes; structural pipes state; Bogota’s sewer system
• Online Access: https://revistas.unal.edu.co/index.php/ingeinv/article/view/56616

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.