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Marine Georesources & Geotechnology Volume 39, 2021 - Issue 5
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Original Articles

Prediction of current-induced scour depth around pile groups using MARS, CART, and ANN approaches

Mehrshad Samadia School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
,
Mohammad Hadi Afshara School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
,
Ebrahim Jabbaria School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, IranCorrespondence[email protected]
&
Hamed Sarkardehb Department of Civil Engineering, Faculty of Engineering, Hakim Sabzevari University, Sabzevar, Iran
Pages 577-588 | Received 01 Jul 2019, Accepted 03 Feb 2020, Published online: 03 Mar 2020

Citations (6)

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Read on this site (1)

Van Qui Lai, Jim Shiau, Chung Nguyen Van, Huynh Duc Tran & Suraparb Keawsawasvong. (2023) Bearing capacity of conical footing on anisotropic and heterogeneous clays using FEA and ANN. Marine Georesources & Geotechnology 41:9, pages 1053-1070.
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Articles from other publishers (5)

Iman Ahmadianfar, Mehdi Jamei, Masoud Karbasi, Ahmad Sharafati & Bahram Gharabaghi. (2021) A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. Engineering with Computers 38:4, pages 3439-3461.
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Sihao Liang, Loke Kok Foong & Zongjie Lyu. (2020) Determination of the friction capacity of driven piles using three sophisticated search schemes. Engineering with Computers 38:2, pages 1515-1527.
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Mohammad Najafzadeh & Giuseppe Oliveto. (2021) More reliable predictions of clear-water scour depth at pile groups by robust artificial intelligence techniques while preserving physical consistency. Soft Computing 25:7, pages 5723-5746.
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Mehrshad Samadi, Hamed Sarkardeh & Ebrahim Jabbari. (2020) Prediction of the dynamic pressure distribution in hydraulic structures using soft computing methods. Soft Computing 25:5, pages 3873-3888.
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Mehrshad Samadi, Hamed Sarkardeh & Ebrahim Jabbari. (2020) Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on sloping channels. Stochastic Environmental Research and Risk Assessment 34:5, pages 691-707.
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