2017
DOI: 10.1016/j.proeng.2017.03.208
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Dynamic Programming Over a Graph Modeling Framework for the Optimal Design of Pipe Series in Sewer Systems

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Cited by 3 publications
(6 citation statements)
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“…The solution of sewer network optimization problems requires determination of pipe diameters, flow rate and pipe slopes [1,16]. Finding an optimal least-cost design of sewer networks is difficult because of numerous complex hydraulic and engineering constraints that lead to nonlinear equations [6,7]. Moreover, the size of sewer networks is generally large, therefore, leading to large scale optimization problem which is generally difficult to solve [1].…”
Section: Methodsmentioning
confidence: 99%
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“…The solution of sewer network optimization problems requires determination of pipe diameters, flow rate and pipe slopes [1,16]. Finding an optimal least-cost design of sewer networks is difficult because of numerous complex hydraulic and engineering constraints that lead to nonlinear equations [6,7]. Moreover, the size of sewer networks is generally large, therefore, leading to large scale optimization problem which is generally difficult to solve [1].…”
Section: Methodsmentioning
confidence: 99%
“…Chen, et al, 2013 [7], suggested a CFD Modelling approach for municipal sewer system design optimization to minimize emissions into receiving water body. He used the CFD model that assisted in design optimization of a municipal sewage system providing detailed flow fields inside of the system and CFD techniques of the renormalized group (RNG) k-ε turbulence model and the VOF free surface model.…”
Section: Cfd Modelsmentioning
confidence: 99%
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“…Based on the annual cost objective function for the branch and trunk pipes in the i-th pipe section in the aforementioned sewage collection pipe network, the annual cost objective function of the whole sewage collection pipe network can be constructed as [11]:…”
Section: Annual Cost Objective Function For the Whole Sewage Collecti...mentioning
confidence: 99%
“…Equation (11) can also be converted into the expression for the decision variable D ijk according to Equations ( 2) and (3).…”
Section: Coupling Constraintsmentioning
confidence: 99%