Optimization of open channels using particle swarm optimization algorithm

Saplioğlu, Kemal; Öztürk, Tülay Suğra Küçükerdem; Acar, Ramazan

doi:10.3233/jifs-191355

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…The minimum permissible velocity for preventing sedimentation is in the range 0.6 to 0.9 m/s, and the minimum velocity for preventing vegetation growth is 0.75 m/s [2]. Swamee et al [17] considered the minimum permissible velocity of the channel design in the range 0.75-0.9.…”

Section: Minimum Velocitymentioning

confidence: 99%

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Analytical Models for Optimal Design of a Trapezoidal Composite Channel Cross-Section

Pourbakhshian

Pouraminian

2021

Civil and Environmental Engineering Reports

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In this paper, several analytical models are presented for the optimal design of a trapezoidal composite channel cross-section. The objective function is the cost function per unit length of the channel, which includes the excavation and lining costs. To define the system, design variables including channel depth, channel width, side slopes, freeboard, and roughness coefficients were used. The constraints include Manning’s equation, flow velocity, Froude number, and water surface width. The Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm was used to solve the optimization problem. The results are presented in three parts; in the first part, the optimal values of the design variables and the objective function are presented in different discharges. In the second part, the relationship between cost and design variables in different discharges is presented in the form of conceptual and analytical models and mathematical functions. Finally, in the third part, the changes in the design variables and cost function are presented as a graph based on the discharge variations. Results indicate that the cost increases with increasing water depth, left side slope, equivalent roughness coefficient, and freeboard.

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Section: Minimum Velocitymentioning

confidence: 99%

“…Therefore, HBP has a high potential for the optimal design of open channels. Saplioglu et al [17] proposed an optimal design for a trapezoidal cross-section by changing the discharge and slope angle. At a constant slope angle, with increasing discharge, the cost, bed-width, and height increase.…”

Section: Introductionmentioning

confidence: 99%

Analytical Models for Optimal Design of a Trapezoidal Composite Channel Cross-Section

Pourbakhshian

Pouraminian

2021

Civil and Environmental Engineering Reports

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“…There are several different trails and methods to reach the optimum design of composite open channel, namely the bat algorithm (BA), their hybrid (HBP), and particle swarm optimization (PSO), which are applied for designing trapezoidal open-channel cross-sections in [17]. By adjusting the discharge and slope angle, Saplioglu et al [18] established an ideal design for a trapezoidal cross-section.…”

Section: Introductionmentioning

confidence: 99%

Developed Computational Methodology for the Most Effective Design of Open Channel Cross Sections

Abd-El-Baky

2023

J. Civ. Eng. Constr.

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Open channel is the most important way to convey water for various purposes. Channels cost a lot of money to construct. The optimal design means delivering water with efficiency, safely, and economical costs of construction. The determinant of minimum cost must take into account the effect of manning coefficient variation between the sides and the bed. The proposed program is solved using the Shuffled complex evolution method developed at the University of Arizona (SCE-UA) algorithm. The results obtained in this study are compared with existing models developed by others in the past using either the complex equations or the Simultaneous Perturbation Stochastic Approximation (SPSA) technique. The result shows that the existing optimization problem formulations, when solved using SCE-UA, provided results compared to those solved using the Lagrange multiplier method. The results obtained in this study indicate that approximately 34% of cost savings can be achieved. Also, the provided results were compared to those obtained by others in the past using (SPSA) technique. The results obtained in this study indicate that approximately 36.5% of cost savings can be achieved. It was found that the (SCE-UA) technique is more accurate than (SPSA) and has the lowest total construction cost.

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Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye

Katipoğlu

Sarıgöl

2023

Environ Sci Pollut Res

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Optimization of open channels using particle swarm optimization algorithm

Cited by 5 publications

References 16 publications

Analytical Models for Optimal Design of a Trapezoidal Composite Channel Cross-Section

Analytical Models for Optimal Design of a Trapezoidal Composite Channel Cross-Section

Developed Computational Methodology for the Most Effective Design of Open Channel Cross Sections

Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye

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