Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs

Local scour downstream stilling basins is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour depth. Lack estimation of local scour can endanger to stability of hydraulic structure and can cause risk of failure. This paper presents Ge...

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Main Author: Yasser Abdallah Mohamed Moussa
Format: Article
Language:English
Published: Elsevier 2013-12-01
Series:Ain Shams Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447913000452
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author Yasser Abdallah Mohamed Moussa
author_facet Yasser Abdallah Mohamed Moussa
author_sort Yasser Abdallah Mohamed Moussa
collection DOAJ
description Local scour downstream stilling basins is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour depth. Lack estimation of local scour can endanger to stability of hydraulic structure and can cause risk of failure. This paper presents Gene expression program (GEP) and artificial neural network (ANNs), to simulate local scour depth downstream hydraulic structures. The experimental data is collected from the literature for the scour depth downstream the stilling basin through a trapezoidal channel. Using GEP approach gives satisfactory results compared with artificial neural network (ANN) and multiple linear regression (MLR) modeling in predicting the scour depth downstream of hydraulic structures.
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spelling doaj.art-2d4bbbaedcd74d4ba0c29b781916487e2022-12-21T18:08:31ZengElsevierAin Shams Engineering Journal2090-44792013-12-014471772210.1016/j.asej.2013.04.005Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNsYasser Abdallah Mohamed MoussaLocal scour downstream stilling basins is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour depth. Lack estimation of local scour can endanger to stability of hydraulic structure and can cause risk of failure. This paper presents Gene expression program (GEP) and artificial neural network (ANNs), to simulate local scour depth downstream hydraulic structures. The experimental data is collected from the literature for the scour depth downstream the stilling basin through a trapezoidal channel. Using GEP approach gives satisfactory results compared with artificial neural network (ANN) and multiple linear regression (MLR) modeling in predicting the scour depth downstream of hydraulic structures.http://www.sciencedirect.com/science/article/pii/S2090447913000452Local scourGEPANNCurrent deflectorTrapezoidal channel
spellingShingle Yasser Abdallah Mohamed Moussa
Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
Ain Shams Engineering Journal
Local scour
GEP
ANN
Current deflector
Trapezoidal channel
title Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
title_full Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
title_fullStr Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
title_full_unstemmed Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
title_short Modeling of local scour depth downstream hydraulic structures in trapezoidal channel using GEP and ANNs
title_sort modeling of local scour depth downstream hydraulic structures in trapezoidal channel using gep and anns
topic Local scour
GEP
ANN
Current deflector
Trapezoidal channel
url http://www.sciencedirect.com/science/article/pii/S2090447913000452
work_keys_str_mv AT yasserabdallahmohamedmoussa modelingoflocalscourdepthdownstreamhydraulicstructuresintrapezoidalchannelusinggepandanns