Related Links
Using the three-objective simulator-optimizer approach for the optimal design of the combined stepped-labyrinth spillway using the improved dragonfly optimization algorithm | ||
| تحقیقات مهندسی سازه های آبیاری و زهکشی | ||
| Volume 23, Issue 89, June 2023, Pages 98-118 PDF (1.12 M) | ||
| Document Type: Original Article | ||
| DOI: 10.22092/idser.2023.362275.1544 | ||
| Authors | ||
| Eslam Zolfaghari1; Mahdi Mollazadeh* 2; jafar jafari-asl3 | ||
| 1MS.c.Student, Civil engineering department, Faculty of engineering, University of Birjand, Birjand, Iran | ||
| 2Assistant professor, Civil engng department, faculty of engineering, university of Birjand, Birjand, Iran | ||
| 3Ph.D. Water Resources Engineering and Management, College of Civil Engineering, Sistan and Baluchestan University, Zahedan, Iran. | ||
| Abstract | ||
| Introduction The cost of implementing spillways includes a large part of the dam construction budget. Optimizing these structures can significantly reduce the cost of building dams. So far, many studies have been done on optimizing the dimensions of spillways in order to reduce the amount of materials used. Among the used optimization methods, the methods based on meta-heuristic algorithms have had stunning results. The review of the studies conducted in the field of stepped and labyrinth spillways shows that the goals of all studies in stepped spillways have been to provide an acceptable plan for energy dissipation and in labyrinth spillways to reach a largest amount of water passing. The purpose of this study is to combine stepped spillways with labyrinth spillways and optimization in order to increase the water passage coefficient and energy Dissipation at the same time. For this purpose, the multi-objective optimization approach has been used. Methods In this study, the redesign of the spillway of the Sarouk rockfill dam located in West Azarbaijan province has been studied. In case of labyrinth-stepped spillway, the decision variables, constraints and objective functions of the two spillways are combined and analyzed as a multi-objective optimization problem. In this study, a dynamic coefficient is used to improve the performance of the dragonfly algorithm in the search and exploitation stage. After determining the optimal values of the regulatory parameters of the MODA, NSGA-II, MOPSO and MOIDA algorithms, four benchmark examples were solved with each of them 20 times with an initial population of 50 and a maximum number of iterations equal to 100. Results After validating the improved dragonfly algorithm on benchmark functions and evaluating its performance in solving multi-objective problems, this algorithm was used to design a combined spillway on the introduced dam. In multi-objective problems, there is a set of optimal solutions rather than a single optimal solution, which appear as a Pareto front. The implementation of the improved dragonfly algorithm with 200 initial population and 500 repetitions has resulted in providing 200 optimal answers on the Pareto chart. After performing the calculations related to the fuzzy decision-making method, a design with the values of the objective functions of concreting volume: 59795.54 cubic meters, dissipated energy: 75.18%, flow rate: 1255.19 cubic meters per second was selected as the optimal answer. In addition, the design with the highest and lowest cost of concrete consumption was selected as two other answers. The flow rate passing over the spillway has increased by 120% in plans A and B, and by 25% in plan C compared to the initial design flow rate. The amount of energy dissipation of plans A and B is about 76% and 75%, respectively. In plan C, where the flow rate has not increased significantly (25%), energy dissipation has reached about 81%, which is more than the other two cases. Conclusions Among the available answers, according to the priority of the cost, the plans with the lowest implementation cost (C) and the highest implementation cost (A) based on the volume of concrete were selected. Also, by using the fuzzy decision-making approach, an optimal plan (B) that has a suitable balance between the three objectives was selected. Based on the results, it was found that each of the plans A, B and C can be used based on the needs of the employer. From the economic point of view, according to the project conditions and the needs of the employer, all the proposed plans are suitable options for replacing the actual spillway and reduce the implementation costs. Also, the comparison of plan C with the stepped spillway plan presented by previous researchers showed that with almost the same volume of concrete, using a multi-objective approach in comparison with a single-objective optimization approach, in addition to increasing flow energy consumption, also led to an increase in flow through the spillway. | ||
| Keywords | ||
| Improved dragonfly algorithm; Multi-objective optimization; Sarouk dam; Stepped spillway; Labyrinth spillway | ||
| References | ||
|
Chanson, H. (2001). Experimental Investigations of Air Entrainment in Transition and Skimming Flows Down a Stepped Chute. Research report No CE 158, The University of Queensland, Australia, https://doi.org/10.1139/l01-084 Fatahi, M. E. & Sinaii, A. (2019). Numerical simulation and geometric optimization of the stepped spillway of Jareh dam by multi-objective genetic algorithm. Irrigation and drainage engineering researches, 21(81), 83-100 (in Persian). https://doi.org/10.22092/IDSER.2021.352524.1445 Ferdowsi, A., Mousavi, S., Farzin, S., Karmi, H., Tasbeh, M. & Valikhani, M. (2017). Optimal Design and Hydraulic Performance Improvement of Labyrinth Spillway using Cuckoo Search Algorithm. Iranian Irrigation and Drainage Journal, 12(5), 1086-1097 (in persian). Ghaderi, A., & Abbasi, S. (2019). Numerical investigation of labyrinth stepped spillways’ performance on energy dissipation of skimming flow. Journal of Hydraulics, 14(3), 1-16. doi: 10.30482/jhyd.2019.135883.1303 Ghahramani, B. & Bayat, B. (2016). Geometric optimization of the stepped spillway of the Siah Bisheh Lower Dam to maximize energy consumption using the PSO particle group optimization algorithm. Proceedings of the 16th Iran Hydraulic Conference, Mohaghegh Ardabili University, Ardabil, Iran. Ghobadi, R. (2014). Laboratory investigation of the hydraulic effect of the crest slope of wide edge gabion spillways. M.Sc. Thesis, Shahid Chamran University of Ahvaz (in persian). Goudarzi, M., Qudsian, M. & Mehrain, M. (2013). Investigation of curved labyrinth spillway with upstream and downstream slope, Proceedings of the International Conference on Civil Engineering, Architecture and Sustainable Urban Development, Tabriz, Iran (in persian). Hosseini, A. (2018). Multi-objective optimization of trapezoidal labyrinth spillway with stepped energy absorber using gray wolf evolutionary algorithm. M.Sc. Thesis, University of Sistan and Baluchistan (in persian). Jafari Asl, J. (2022). Energy and leakage assessment in water distribution systems with reliability-based optimization approach. Ph.D. Thesis, University of Sistan and Baluchistan (in persian). Kardan, N., Hassanzadeh, Y. & Bonab, B.S. (2017). Shape Optimization of Trapezoidal Labyrinth Weirs Using Genetic Algorithm. Arabian Journal for Science and Engineering, 42, 1219-1229. https://doi.org/10.1007/s13369-016-2355-4 Khalifeh, S., Khodashenas, S.R., & Esmaili, K. (2021). parameter estimation of the nonlinear muskingum flood-routing model using the new dragonfly algorithm. Sharif: Civil Engineering, 37-2(2/1), 3-10.
Nikpour, M. R., Shoja Talatapeh, B. & Verjavand, P. (2017). Optimization of the geometry of stepped spillway using PSO set algorithm. Proceedings of the 11th International Seminar on River Engineering, Bahman, Shahid Chamran University, Ahvaz (in persian). Rezapour Tabari, M. M. & Hashempour, M. (2018). Development of GWO-DSO & PSO-DSO Hybrid Models to Redesign the Optimal Dimensions of Labyrinth Spillway. Soft Computing, 5(16), 48-63. https://doi.org/10.1007/s00500-018-3292-9 Salmasi, F. & Abraham, J. (2022). Genetic algorithms for optimizing stepped spillways to maximize energy dissipation. Water Supply, 22(2),1255-1274. https://doi.org/10.2166/ws.2021.353 Selj Mahmoudi, H. & Bayat H. A., (2013). Study of the effect of water splitting blades on the aeration of a congressional overflow. M.Sc. Thesis, Tarbiat Modares University, Tehran (in persian). Shoja, F. (2018). Geometric optimization of stair overflows using genetic algorithm. M.Sc. Thesis, Tabriz University (in persian). Sohrabi, Z., Sarvarian, J., & Mamizadeh, J. (2020). Development a two-objective simulation-optimization model for optimal design of geometric dimensions and slope of the stepped spillway of upstream siah-bisheh dam using NSGA-II. Iranian journal of soil and water research, 51(2), 469-478. Xia, F., Liu, J., Nie, H., Fu, Y., Wan, L. & Kong, X. (2019). Random walks: A review of algorithms and applications. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(2), 95-107. https://doi.org/10.1145/3570906. | ||
|
Statistics Article View: 1,529 PDF Download: 217 |
||
Journal management system. designed by sinaweb