Gables slip threshold stability and optimal operation volume embankment navigation Earth dam using combined neural network and genetic algorithms

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Saba Hamid Reza; Kamalian Mohsen; Raeisizadeh Iman

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Paper Information

Journal: AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR) Year:2018 | Volume:50 | Issue:4 Page(s): 747-754

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Title

Gables slip threshold stability and optimal operation volume embankment navigation Earth dam using combined neural network and genetic algorithms

Author(s)

Saba Hamid Reza | Kamalian Mohsen | Raeisizadeh Iman | Issue Writer Certificate

Keywords

Earth DamsQ2

stabilityQ1

neural networksQ2

genetic algorithms (GA)Q1

optimalQ2

Abstract

In this study, we are using to help optimize the combination of neural networks and genetic algorithms (GA), slip threshold and volume stability of optimal operation Gables earth embankment dams be determined. Also, the stability coefficient of r Gables earth dam with a neural network to determine and outputs Plaxis finite element software has been compared. For neural network training data from 150 models in the earth dam Plaxis finite element software is used. Sustainability analysis to determine confidence gable at the desired level of slip and rupture process of determining the most likely and the least confidence about it, is done, the application of genetic algorithms in this research, the process of determining the most likely slip rupture threshold (minimum coefficient sure) is. Also, another study uses genetic algorithms in optimal amounts of dam embankment operations are such that the minimum safety factor (sliding threshold) is achieved. In this research easier for engineers to use the dimensions proposed, using different Azmshkhsat weir dam in the soil, for different heights and the results of analysis took the form of graphs and tables provided, the use of these charts can be optimized dimensions and volume of concrete Without referring directly to the program won.

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APA: Copy

Saba, Hamid Reza, Kamalian, Mohsen, & Raeisizadeh, Iman. (2018). Gables slip threshold stability and optimal operation volume embankment navigation Earth dam using combined neural network and genetic algorithms. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 50(4 ), 747-754. SID. https://sid.ir/paper/165687/en

Vancouver: Copy

Saba Hamid Reza, Kamalian Mohsen, Raeisizadeh Iman. Gables slip threshold stability and optimal operation volume embankment navigation Earth dam using combined neural network and genetic algorithms. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2018;50(4 ):747-754. Available from: https://sid.ir/paper/165687/en

IEEE: Copy

Hamid Reza Saba, Mohsen Kamalian, and Iman Raeisizadeh, “Gables slip threshold stability and optimal operation volume embankment navigation Earth dam using combined neural network and genetic algorithms,” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 50, no. 4 , pp. 747–754, 2018, [Online]. Available: https://sid.ir/paper/165687/en

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