Factors influencing the structural deterioration and collapse of rigid sewer pipes

Davies, J.P.; Clarke, Brian; Whiter, J. T.; Cunningham, Rachel

doi:10.1016/s1462-0758(01)00017-6

Cited by 200 publications

(80 citation statements)

References 27 publications

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“…In previous studies other variables that showed low relationship to state have been found to influence state of the pipes. These variables are age, diameter and depth (Davies et al, 2001;Saegrov, 2006;Niño et al, 2012). Nevertheless, multivariate analyses are stronger because they allow detecting a global relationship and influence of several factors (Hao et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

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

2016

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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.Keywords: k-means, sewer asset management, cluster analysis, principal components analysis (PCA), proactive sewer management, sewer pipes, structural pipes state, Bogota's sewer system. RESUMENEl deterioro de los sistemas de alcantarillado es un problema que afecta a las ciudades, no solo en su estado estructural sino también en su capacidad hidráulica y nivel de servicio. En consecuencia, los encargados del sistema de alcantarillado están trabajando en el desarrollo de una gestión proactiva para tomar decisiones a tiempo y evitar emergencias públicas. Es por esto que el objetivo de este trabajo fue predecir la condición de las tuberías en la ciudad de Bogotá utilizando algoritmos tipo cluster (k -means), para discriminar las tuberías que tienen buena condición estructural de las que no. Entre los resultados más sobresalientes se encontró una relación entre las características estructurales de las tuberías y su estado (prueba Chi -cuadrado) siendo la pendiente y la profundidad las variables más relacionadas con el estado de las tuberías. Adicionalmente, estas relaciones encontradas resultaron lineales al agrupar las tuberías en un plano de componentes principales.Palabras clave: k-means, gestión de sistemas de alcantarillado, cluster, análisis de componentes principales (ACP), gestión proactiva de alcantarillados, tuberías de alcantarillado, condición estructural de tuberías de alcantarillado, sistema de alcantarillado de Bogotá.

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Section: Resultsmentioning

confidence: 99%

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

2016

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“…Micevski et al (2002) found that smaller diameter stormwater pipes in Australia are aging faster than bigger diameter pipes as designers often underestimate the traffic loads and cover requirements for small pipes. Davies et al (2001) note that large diameter pipes are often put in place by more experienced personnel, reducing the likelihood for damage to occur during the installation process. While older, small diameter pipes have a 55% chance of being in poor condition if their lengths are greater than 35 m (node 4), shorter pipes have only a 26% chance of being in poor condition (node 3).…”

Section: Resultsmentioning

confidence: 99%

Understanding Stormwater Pipe Deterioration Through Data Mining

Harvey

McBean

2014

JWMM

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Stormwater pipe condition is commonly assessed using closed circuit television (CCTV) inspection, a task which is both expensive and time consuming. Consequently, most municipalities have been limiting their inspections to small portions of their stormwater systems. A data mining procedure using a powerful classification tree methodology is developed to extract asset condition information related to stormwater pipe integrity. A case study illustrates the process of developing classification trees using a dataset of pipe condition obtained after inspecting one third of the stormwater pipes in Guelph, Ontario. The classification tree illustrates the influence of construction year, diameter, length and slope on pipe condition in an easily interpretable format. An overall success rate of 71% (301/425 instances of pipe condition correctly classified in a stratified test set) indicates the utility of the model when predicting the condition of the remaining two thirds of the pipes in the stormwater system that have not yet been inspected.

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“…In addition, the time since construction can be an indicator of deterioration (e.g. Davies et al (2001) and Marlow, Boulaire, Beale, Grundy, and Moglia (2010)). The negative weights β associated with separate sewer systems demonstrate that combined lateral connections are more prone to blockages.…”

Section: Case Ii: Rotterdammentioning

confidence: 99%

Analysing spatial patterns in lateral house connection blockages to support management strategies

Post

Langeveld

Clemens

2016

Structure and Infrastructure Engineering

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a faculty of civil engineering and geosciences, Section Sanitary engineering, delft university of technology, delft, the netherlands; b Partners4urbanwater, nijmegen, the netherlands; c deltares, delft, the netherlands ABSTRACTThe performance of lateral house connections has a direct impact on sewer serviceability. Despite the potential consequences of a blockage, these components are generally maintained with a reactive approach. As inspection data on the condition of lateral house connections are scarce, this study adopts a statistical procedure to support proactive strategies by analysing spatial blockage patterns to identify system parts with higher blockage incidences. First, a Monte Carlo simulation test provides insight into whether the spatial variation of the blockage likelihood is significant. This justifies the identification of explanatory factors by means of a bootstrapped generalised additive model. Application of the procedure to two databases containing 10 years of lateral house connection blockage data, revealed factors such as building age, sewer system type and ground settlement rate to explain spatial differences in the blockage likelihood. Furthermore, a likelihood ratio test demonstrated that the addition of a spatial smoother improved model performance. This smoother was able to account for additional spatial variation caused by explaining factors for which no data were available. The procedure provides key information for inspection and rehabilitation strategies by taking into account the model performance in assessing the trade-off between costs and benefits in terms of serviceability.

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Factors influencing the structural deterioration and collapse of rigid sewer pipes

Cited by 200 publications

References 27 publications

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

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

Understanding Stormwater Pipe Deterioration Through Data Mining

Analysing spatial patterns in lateral house connection blockages to support management strategies

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