modeling of local scour depth downstream hydraulic structures in trapezoidal channel using gep and anns

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ID: 233850
2013
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Abstract
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.
Reference Key
moussa2013ainmodeling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yasser Abdallah Mohamed Moussa
Journal der pharmacia lettre
Year 2013
DOI
10.1016/j.asej.2013.04.005
URL
http://www.sciencedirect.com/science/article/pii/S2090447913000452
Keywords
ann civil engineering (general)

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