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Stochastic Analysis of Factors Affecting Sewer Network Operational Condition
In the case of buried utilities, the quality and reliability of asset related data which is the basis of intervention decision making, is often questionable. This paper presents a stochastic study using Monte Carlo simulation, aimed to investigate the operational condition of a network of sewer pipelines, under different ranges of values of a set of operational parameters. These parameters included: pipe age, length, diameter, slope and Manning's roughness co-efficient, whereas operational condition grade is the response variable. In a parameter impact analysis, each parameter was studied separately with different probability distributions, while keeping all the other parameters at their best fits. Comparison of these simulated overall operational conditions of the network with its actual condition elicits the impact of making system wide changes in the studied parameter. The results of this study can assist infrastructure engineers in making more informed network planning and design related decisions.
Stochastic Analysis of Factors Affecting Sewer Network Operational Condition
In the case of buried utilities, the quality and reliability of asset related data which is the basis of intervention decision making, is often questionable. This paper presents a stochastic study using Monte Carlo simulation, aimed to investigate the operational condition of a network of sewer pipelines, under different ranges of values of a set of operational parameters. These parameters included: pipe age, length, diameter, slope and Manning's roughness co-efficient, whereas operational condition grade is the response variable. In a parameter impact analysis, each parameter was studied separately with different probability distributions, while keeping all the other parameters at their best fits. Comparison of these simulated overall operational conditions of the network with its actual condition elicits the impact of making system wide changes in the studied parameter. The results of this study can assist infrastructure engineers in making more informed network planning and design related decisions.
Stochastic Analysis of Factors Affecting Sewer Network Operational Condition
Khan, Z. (author) / Zayed, T. (author) / Moselhi, O. (author)
International Conference on Pipelines and Trenchless Technology (ICPTT) 2009 ; 2009 ; Shanghai, China
ICPTT 2009 ; 389-400
2009-09-15
Conference paper
Electronic Resource
English
Simulating Impact of Factors Affecting Sewer Network Operational Condition
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