Best non scour channel section design using artificial neural networks

Water flowing in channels has the ability to scour sediments from bed, berm, and banks and sweep these sediments downstream causing a lot of problems. Using Shield’s diagram and Manning’s equation, the design for trapezoidal cross sections is determined. This design ensures no motion of sediments. M...

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Main Author: Ahmed M. Tawfik
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Ain Shams Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447920302161
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spelling doaj-cae9d8a9c04145c6ba0350558bce19902021-06-07T06:47:03ZengElsevierAin Shams Engineering Journal2090-44792021-06-0112212831291Best non scour channel section design using artificial neural networksAhmed M. Tawfik0Cairo University, Faculty of Engineering, Irrigation and Hydraulics Department, EgyptWater flowing in channels has the ability to scour sediments from bed, berm, and banks and sweep these sediments downstream causing a lot of problems. Using Shield’s diagram and Manning’s equation, the design for trapezoidal cross sections is determined. This design ensures no motion of sediments. Matlab code is written to solve the design equations using trial and error. Design charts that determine the best design are presented. The best hydraulic section design is the worst design from the scour point of view. The effect of each design variable is studied. Increasing particle diameter or specific gravity of sediments leads to decrease in the bed width and increase in the corresponding water depth. Artificial Neural Networks are then used to find the best design. About 30,000 synthetic realizations were used to train, validate, and test the network. The proposed design aids help the design engineer to find the best design easily.http://www.sciencedirect.com/science/article/pii/S2090447920302161Open channelShield’s diagramManning’s equationNeural networks
collection DOAJ
language English
format Article
sources DOAJ
author Ahmed M. Tawfik
spellingShingle Ahmed M. Tawfik
Best non scour channel section design using artificial neural networks
Ain Shams Engineering Journal
Open channel
Shield’s diagram
Manning’s equation
Neural networks
author_facet Ahmed M. Tawfik
author_sort Ahmed M. Tawfik
title Best non scour channel section design using artificial neural networks
title_short Best non scour channel section design using artificial neural networks
title_full Best non scour channel section design using artificial neural networks
title_fullStr Best non scour channel section design using artificial neural networks
title_full_unstemmed Best non scour channel section design using artificial neural networks
title_sort best non scour channel section design using artificial neural networks
publisher Elsevier
series Ain Shams Engineering Journal
issn 2090-4479
publishDate 2021-06-01
description Water flowing in channels has the ability to scour sediments from bed, berm, and banks and sweep these sediments downstream causing a lot of problems. Using Shield’s diagram and Manning’s equation, the design for trapezoidal cross sections is determined. This design ensures no motion of sediments. Matlab code is written to solve the design equations using trial and error. Design charts that determine the best design are presented. The best hydraulic section design is the worst design from the scour point of view. The effect of each design variable is studied. Increasing particle diameter or specific gravity of sediments leads to decrease in the bed width and increase in the corresponding water depth. Artificial Neural Networks are then used to find the best design. About 30,000 synthetic realizations were used to train, validate, and test the network. The proposed design aids help the design engineer to find the best design easily.
topic Open channel
Shield’s diagram
Manning’s equation
Neural networks
url http://www.sciencedirect.com/science/article/pii/S2090447920302161
work_keys_str_mv AT ahmedmtawfik bestnonscourchannelsectiondesignusingartificialneuralnetworks
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