Optimization of Diversion Dam Section Based on Genetic Algorithm

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

YOUSEFI SAMIRA; HEIDARI MOHAMMAD MEHDI; ADIB RAD MOHAMMAD HOSSAIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2017 | Volume:47 | Issue:4 Page(s): 839-848

Download Full-Text

Persian Verion

View:

908

Download:

Cites:

Information Journal Paper

Title

Optimization of Diversion Dam Section Based on Genetic Algorithm

Author(s)

YOUSEFI SAMIRA | HEIDARI MOHAMMAD MEHDI | ADIB RAD MOHAMMAD HOSSAIN | Issue Writer Certificate

Keywords

Nazelian DamQ1

Stability safety factorsQ1

Penalty functionQ1

Genetic parametersQ1

Abstract

Diversion dams is designed in order to raise the water level of river and to convey water into the main canal of irrigation network. If the dimensions of different parts of the diversion dam are considered large, it will be stable, but due to the increase volume of materials, construction costs will be high. Design engineer must choose dimensions of dam having least amount of materials and also is stable. Optimum dimensions of diversion dams can be calculated by classic and genetic algorithm methods. The purpose of this study was to present computer model based on genetic algorithm for optimal designing of dimensions of diversion dams consuming the least volume of materials in spite of regarding design rules. Decision variables used in the study included wall height of upstream and downstream of dam, body slope in upstream, thickness of stilling basin, length and thickness of concrete blanket upstream of dam. The objective function is to minimize amount of materials used. Design constraints include regarding dam Stability safety factors against Piping, sliding, overturning and failure. In the research, firstly, optimizing program of diversion dam section was prepared using genetic algorithm in visual basic, and then Nazelian Dam section was compared to re-designed model with conducted section. Results showed that if genetic algorithm was used for designing Nazelian Dam for legal overturning coefficient about 2. 1, volume of materials will be reduced by 15. 4% and more economically designed. Suitable values for the number of generation, population size, probability crossover and mutation to optimize Diversion Dam were 100, 30, 0. 55 and 0. 05, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

YOUSEFI, SAMIRA, HEIDARI, MOHAMMAD MEHDI, & ADIB RAD, MOHAMMAD HOSSAIN. (2017). Optimization of Diversion Dam Section Based on Genetic Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 47(4 ), 839-848. SID. https://sid.ir/paper/225885/en

Vancouver: Copy

YOUSEFI SAMIRA, HEIDARI MOHAMMAD MEHDI, ADIB RAD MOHAMMAD HOSSAIN. Optimization of Diversion Dam Section Based on Genetic Algorithm. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2017;47(4 ):839-848. Available from: https://sid.ir/paper/225885/en

IEEE: Copy

SAMIRA YOUSEFI, MOHAMMAD MEHDI HEIDARI, and MOHAMMAD HOSSAIN ADIB RAD, “Optimization of Diversion Dam Section Based on Genetic Algorithm,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 47, no. 4 , pp. 839–848, 2017, [Online]. Available: https://sid.ir/paper/225885/en

Related Journal Papers