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Uncertainty Analysis of Pipe-Network Hydraulics Using a Many-Objective Particle Swarm Optimization

Sabzkouhi, Adell Moradi / Haghighi, Ali

In water-supply pipe networks, inherent uncertainties in the analysis parameters, including nodal demands, pipe friction factors, reservoir heads, etc., lead to imprecise hydraulic responses. This study introduces a methodology based on fuzzy set theory to analyze network hydraulics under uncertainty. The fuzzy approach results in a complex optimization problem that is neither single nor common multiobjective. To solve the problem efficiently to find extreme values of nodal pressures and pipe velocities, a novel many-objective particle swarm optimization (MO-PSO) model is developed and coupled to a network hydraulic simulation model from the literature. The coupled model is applied against a benchmark example and a real pipe network from the literature and the results are compared with those from the previous methods. The examples manifest that the proposed fuzzy MO-PSO is computationally efficient and reliable. Analyzing the real pipe network shows that, for instance, $\pm 15 %$ uncertainty in the pipes’ roughness and nodal demands could averagely result in $- 11.2$ to $+ 6.4 %$ uncertainty in the nodal pressures and $- 41.7$ to $+ 50.1 %$ in the pipe velocities.

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Uncertainty Analysis of Pipe-Network Hydraulics Using a Many-Objective Particle Swarm Optimization

Sabzkouhi, Adell Moradi / Haghighi, Ali

In water-supply pipe networks, inherent uncertainties in the analysis parameters, including nodal demands, pipe friction factors, reservoir heads, etc., lead to imprecise hydraulic responses. This study introduces a methodology based on fuzzy set theory to analyze network hydraulics under uncertainty. The fuzzy approach results in a complex optimization problem that is neither single nor common multiobjective. To solve the problem efficiently to find extreme values of nodal pressures and pipe velocities, a novel many-objective particle swarm optimization (MO-PSO) model is developed and coupled to a network hydraulic simulation model from the literature. The coupled model is applied against a benchmark example and a real pipe network from the literature and the results are compared with those from the previous methods. The examples manifest that the proposed fuzzy MO-PSO is computationally efficient and reliable. Analyzing the real pipe network shows that, for instance, $\pm 15 %$ uncertainty in the pipes’ roughness and nodal demands could averagely result in $- 11.2$ to $+ 6.4 %$ uncertainty in the nodal pressures and $- 41.7$ to $+ 50.1 %$ in the pipe velocities.

Uncertainty Analysis of Pipe-Network Hydraulics Using a Many-Objective Particle Swarm Optimization

Sabzkouhi, Adell Moradi / Haghighi, Ali

In water-supply pipe networks, inherent uncertainties in the analysis parameters, including nodal demands, pipe friction factors, reservoir heads, etc., lead to imprecise hydraulic responses. This study introduces a methodology based on fuzzy set theory to analyze network hydraulics under uncertainty. The fuzzy approach results in a complex optimization problem that is neither single nor common multiobjective. To solve the problem efficiently to find extreme values of nodal pressures and pipe velocities, a novel many-objective particle swarm optimization (MO-PSO) model is developed and coupled to a network hydraulic simulation model from the literature. The coupled model is applied against a benchmark example and a real pipe network from the literature and the results are compared with those from the previous methods. The examples manifest that the proposed fuzzy MO-PSO is computationally efficient and reliable. Analyzing the real pipe network shows that, for instance, $\pm 15 %$ uncertainty in the pipes’ roughness and nodal demands could averagely result in $- 11.2$ to $+ 6.4 %$ uncertainty in the nodal pressures and $- 41.7$ to $+ 50.1 %$ in the pipe velocities.

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Titel:

Uncertainty Analysis of Pipe-Network Hydraulics Using a Many-Objective Particle Swarm Optimization

Beteiligte:

Sabzkouhi, Adell Moradi (Autor:in) / Haghighi, Ali (Autor:in)

Erschienen in:

Journal of Hydraulic Engineering ; 142

Erscheinungsdatum:

12.05.2016

ISSN:

0733-9429 , 1943-7900

DOI:

https://doi.org/10.1061/(ASCE)HY.1943-7900.0001148

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

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