Artificial Neural Network for Estimation of Local Scour Depth Around Bridge Piers

• Autorzy: Shakir Ali Ali Ahmed , Günal Mustafa

Identyfikatory

DOI

10.2478/heem-2021-0005

• Języki publikacji: EN

Abstrakty

EN

Local scour around bridge piers impairs the stability of bridges’ structures. Therefore, a delicate estimation of the local scour depth is vital in designing the bridge piers foundations. In this research, MATLAB software was used to train artificial neural network (ANN) models with four hundred laboratory datasets from different laboratory studies, including five parameters: pier diameter, flow depth flow velocity, critical sediment velocity, sediment particle size, and equilibrium local scour depth. The outcomes present that the ANN model with the Levenberg-Marquardt algorithm and 11 nodes in the single hidden layer gives an accurate estimation better than other ANN models trained with different training algorithms based on the regression results and mean squared error values. Besides, the ANN model accurately provides predicted local scour depth and is better than linear and nonlinear regression models. Furthermore, sensitivity analysis shows that removing pier diameter from training parameters diminishes the reliability of prediction.

Słowa kluczowe

EN

artificial neural network; bridge pier; hydraulics; local scour

• Wydawca: Institute of Hydro-Engineering of Polish Academy of Sciences
• Czasopismo: Archives of Hydro-Engineering and Environmental Mechanics
• Rocznik: 2021
• Tom: Vol. 68, nr 2
• Strony: 87--101
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Shakir Ali Ali Ahmed

• University of Gaziantep, Faculty of Engineering, Department of Civil Engineering, Gaziantep, Turkey

autor

Günal Mustafa

• University of Gaziantep, Faculty of Engineering, Department of Civil Engineering, Gaziantep, Turkey

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).