Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge

Bagherzadeh, Mohammad; Mousavi, F.; Manafpour, Mohammad; Mirzaee, Reza; Hoseini, Khosrow

doi:10.2166/ws.2022.127

Cited by 14 publications

(1 citation statement)

References 18 publications

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“…The accuracy of the numerical simulation results was checked and compared using an artificial intelligence method. Moreover, Bagherzadeh et al [21] simulated the energy dissipation by a serrated-edge drop downstream of this structure using FLOW-3D software. Abolfathi et al [22] developed a weakly compressible smoothed particle hydrodynamic (WCSPH) model to quantify the overtopping volume due to the impacts of wave actions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Factors Influencing Wave Overtopping Discharge from Breakwater Based on an MIV-BP Estimation Model

Chen

Peng

et al. 2022

Water

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Aiming at the problem of calculating the overtopping of single-slope breakwaters, a mean impact value-backpropagation (MIV-BP) estimation model for predicting overtopping was established. Experimental data from the Tianjin Research Institute of Water Transport Engineering (TIWTE) were utilized to further enrich the dataset of the CLASH project for single-slope wave overtopping discharge. This paper established a comprehensive prediction model based on an ensemble learning average method combination strategy. There are 10 input parameters in the model, including the offshore effective wave height, average wave period, offshore water depth, toe submergence, toe width, slope tangent, armor rock surface roughness factor, crest height with respect to the static water level, wall height with respect to the static water level, and crest width; the output parameter is the mean overtopping discharge. Subsequently, a comparative analysis was conducted between this estimation model, the Chinese standard formula calculation model, and the European Van der Meer formula calculation model. Compared with the two formulas mentioned above, this estimation model’s coefficient of correlation increased by 0.23 and 0.26, respectively. Finally, a weight evaluation analysis of the 10 main factors affecting overtopping was carried out based on a MIV-BP neural network model. In the analysis, a positive correlation was found for factors, such as the wave height, average wave period, and water depth at the structure toe; a negative correlation was found for factors, such as the slope, crest height with respect to the static water level, wall height with respect to the static water level, and crest width. Overall, the results provide a significant basis and reference for optimizing the design of the wave overtopping control.

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Section: Introductionmentioning

confidence: 99%

Analysis of Factors Influencing Wave Overtopping Discharge from Breakwater Based on an MIV-BP Estimation Model

Chen

Peng

et al. 2022

Water

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A novel artificial hummingbird algorithm improved by natural survivor method

Bakır

2024

Neural Comput & Applic

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The artificial hummingbird algorithm (AHA) has been applied in various fields of science and provided promising solutions. Although the algorithm has demonstrated merits in the optimization area, it suffers from local optimum stagnation and poor exploration of the search space. To overcome these drawbacks, this study redesigns the update mechanism of the original AHA algorithm with the natural survivor method (NSM) and proposes a novel metaheuristic called NSM-AHA. The strength of the developed algorithm is that it performs population management not only according to the fitness function value but also according to the NSM score value. The adopted strategy contributes to NSM-AHA exhibiting powerful local optimum avoidance and unique exploration ability. The optimization ability of the proposed NSM-AHA algorithm was compared with 21 state-of-the-art algorithms over CEC 2017 and CEC 2020 benchmark functions with dimensions of 30, 50, and 100, respectively. Based on the Friedman test results, it was observed that NSM-AHA ranked 1st out of 22 competitive algorithms, while the original AHA ranked 8th. This result highlights that the NSM update mechanism provides a remarkable evolution in the convergence performance of the original AHA algorithm. Furthermore, two constrained engineering problems including the optimization of single-diode solar cell model (SDSCM) parameters and the design of a power system stabilizer (PSS) are solved with the proposed algorithm. The NSM-AHA algorithm provided better results compared to other algorithms with a value of 9.86E − 04 root mean square error for SDSCM and 1.43E − 03 integral time square error for PSS. The experimental results showed that the proposed NSM-AHA is a competitive optimizer for solving global and engineering problems.

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Energy loss and contraction coefficients-based vertical sluice gate’s discharge coefficient under submerged flow using symbolic regression

Shakouri

Ismail

Safari

2023

Environ Sci Pollut Res

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Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge

Cited by 14 publications

References 18 publications

Analysis of Factors Influencing Wave Overtopping Discharge from Breakwater Based on an MIV-BP Estimation Model

Analysis of Factors Influencing Wave Overtopping Discharge from Breakwater Based on an MIV-BP Estimation Model

A novel artificial hummingbird algorithm improved by natural survivor method

Energy loss and contraction coefficients-based vertical sluice gate’s discharge coefficient under submerged flow using symbolic regression

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