Skip to Main Content
Umbrella Alt Text
header search
Search
Advanced Search
Cart
Skip Nav Destination

Prediction of pile group scour in waves using support vector machines and ANN

Journal of Hydroinformatics (2011) 13 (4): 609–620.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
Estimation of local scour around monopile foundations for offshore structures using machine learning models
  • Da-Wei Guan
  • Yu-Xuan Xie
  • Yee-Meng Chiew
  • Fan Ding
  • Tiago Fazeres Ferradosa
  • Jianhao Hong
Ocean Engineering (2024) 296: 116951.
Predicting maximum scour depth uncertainty downstream of grade control structures: a multi-model approach with Bayesian model averaging
  • Seyed Morteza Seyedian
  • Hossien Riahi-Madvar
  • Aboalhasan Fathabadi
  • Somayeh Ghaznavi
Journal of Applied Water Engineering and Research 1.
Local scour depth at piles group exposed to regular waves: On the assessment of expressions based on classification concepts and evolutionary algorithms
  • Mohammad Najafzadeh
  • Razieh Sheikhpour
Results in Engineering (2024) 21: 101810.
Local Scour Mechanisms and Prediction Methods Around Offshore Wind Turbine Foundations: Insights and Future Directions
  • Qi Yang
  • Ruigeng Hu
  • Peng Yu
  • Peng Zhang
  • Zhongqian Xu
  • Mengzhen Xu
Journal of Ocean University of China (2024) 23 (5): 1248.
An efficient surrogate model for reliability analysis of the marine structure piles
  • Arash Vatani
  • Jafar Jafari-Asl
  • Sima Ohadi
  • Naser Safaeian Hamzehkolaei
  • Sanaz Afzali Ahmadabadi
  • José A. F. O. Correia
Proceedings of the Institution of Civil Engineers - Maritime Engineering (2023) 176 (4): 176.
Approximating Helical Pile Pullout Resistance Using Metaheuristic-Enabled Fuzzy Hybrids
  • Mohammadmehdi Ahmadianroohbakhsh
  • Farzad Fahool
  • Mohammad Pour
  • S. Mojtahedi
  • Behnam Ghorbanirezaei
  • Moncef Nehdi
Buildings (2023) 13 (2): 347.
Assessment of artificial intelligence‐ based techniques for the estimation of pile group scour depth
  • Jafar Jafari‐Asl
  • Mohamed El Amine Ben Seghier
  • Spyridis Panagiotis
  • Alfred Strauss
ce/papers (2023) 6 (5): 1105.
Scour characteristics and dynamic mechanisms of the breakwater head in the abandoned Yellow River Delta on the northern Jiangsu coast, China
  • Kaicheng Qu
  • Kefeng Chen
  • Jinhai Zheng
  • Peidong Lu
  • Nairui Wang
Estuarine, Coastal and Shelf Science (2023) 292: 108484.
Estimation of maximum scour depth around bridge piers under ice-covered conditions using data-driven methods
  • Hosein Nezaratian
  • Amin Hassanjabbar
  • Peng Wu
International Journal of Sediment Research (2023) 38 (2): 191.
Three-Dimensional Numerical Modeling of Local Scour: A State-of-the-Art Review and Perspective
  • Yong G. Lai
  • Xiaofeng Liu
  • Fabián A. Bombardelli
  • Yalan Song
Journal of Hydraulic Engineering (2022) 148 (11)
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups
  • Iman Ahmadianfar
  • Mehdi Jamei
  • Masoud Karbasi
  • Ahmad Sharafati
  • Bahram Gharabaghi
Engineering with Computers (2022) 38 (4): 3439.
Application of gradient tree boosting regressor for the prediction of scour depth around bridge piers
  • B. M. Sreedhara
  • Amit Prakash Patil
  • Jagalingam Pushparaj
  • Geetha Kuntoji
  • Sujay Raghavendra Naganna
Journal of Hydroinformatics (2021) 23 (4): 849.
Prediction of current-induced scour depth around pile groups using MARS, CART, and ANN approaches
  • Mehrshad Samadi
  • Mohammad Hadi Afshar
  • Ebrahim Jabbari
  • Hamed Sarkardeh
Marine Georesources & Geotechnology (2021) 39 (5): 577.
Prediction of mean wave overtopping at simple sloped breakwaters using kernel-based methods
  • Shabnam Hosseinzadeh
  • Amir Etemad-Shahidi
  • Ali Koosheh
Journal of Hydroinformatics (2021) 23 (5): 1030.
Prediction of local scour around circular piles under waves using a novel artificial intelligence approach
  • Iman Ahmadianfar
  • Mehdi Jamei
  • Xuefeng Chu
Marine Georesources & Geotechnology (2021) 39 (1): 44.
The Application of Soft Computing Models and Empirical Formulations for Hydraulic Structure Scouring Depth Simulation: A Comprehensive Review, Assessment and Possible Future Research Direction
  • Ahmad Sharafati
  • Masoud Haghbin
  • Davide Motta
  • Zaher Mundher Yaseen
Archives of Computational Methods in Engineering (2021) 28 (2): 423.
Modeling total resistance and form resistance of movable bed channels via experimental data and a kernel-based approach
  • Seyed Mahdi Saghebian
  • Kiyoumars Roushangar
  • V. S. Ozgur Kirca
  • Roghayeh Ghasempour
Journal of Hydroinformatics (2020) 22 (3): 528.
A reliability-based probabilistic evaluation of the wave-induced scour depth around marine structure piles
  • Farshad Homaei
  • Mohammad Najafzadeh
Ocean Engineering (2020) 196: 106818.
Application of Multivariate Adaptive Regression Splines and Classification and Regression Trees to Estimate Wave-Induced Scour Depth Around Pile Groups
  • Mehrshad Samadi
  • Mohammad Hadi Afshar
  • Ebrahim Jabbari
  • Hamed Sarkardeh
Iranian Journal of Science and Technology, Transactions of Civil Engineering (2020) 44 (S1): 447.
Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets
  • Mohammad Najafzadeh
  • Ali Reza Kargar
Journal of Pipeline Systems Engineering and Practice (2019) 10 (3)
Evaluation of the effective parameters on energy losses of rectangular and circular culverts via kernel-based approaches
  • Kiyoumars Roushangar
  • Ghazaleh Nasssaji Matin
  • Roghayeh Ghasempour
  • Seyed Mahdi Saghebian
Journal of Hydroinformatics (2019) 21 (6): 1014.
Abutment scour depth modeling using neuro-fuzzy-embedded techniques
  • Fatemeh Moradi
  • Hossein Bonakdari
  • Ozgur Kisi
  • Isa Ebtehaj
  • Jalal Shiri
  • Bahram Gharabaghi
Marine Georesources & Geotechnology (2019) 37 (2): 190.
Estimation of discharge with free overfall in rectangular channel using artificial intelligence models
  • Edris Jahanpanah
  • Payam Khosravinia
  • Hadi Sanikhani
  • Ozgur Kisi
Flow Measurement and Instrumentation (2019) 67: 118.
Estimation of maximum scour depth downstream of an apron under submerged wall jets
  • Mohammad Aamir
  • Zulfequar Ahmad
Journal of Hydroinformatics (2019) 21 (4): 523.
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects
  • Mohammad Najafzadeh
  • Farid Saberi-Movahed
  • Saeed Sarkamaryan
Marine Georesources & Geotechnology (2018) 36 (5): 589.
A new hybrid decision tree method based on two artificial neural networks for predicting sediment transport in clean pipes
  • Isa Ebtehaj
  • Hossein Bonakdari
  • Amir Hossein Zaji
Alexandria Engineering Journal (2018) 57 (3): 1783.
Numerical investigation of local scour around three adjacent piles with different arrangements under current
  • Qi Zhang
  • Xiang-Lian Zhou
  • Jian-Hua Wang
Ocean Engineering (2017) 142: 625.
Prediction of scour caused by 2D horizontal jets using soft computing techniques
  • Masoud Karbasi
  • H. Md. Azamathulla
Ain Shams Engineering Journal (2017) 8 (4): 559.
Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models
  • Mohammad Najafzadeh
  • Mohammad Rezaie Balf
  • Esmat Rashedi
Journal of Hydroinformatics (2016) 18 (5): 867.
Scour prediction in long contractions using ANFIS and SVM
  • Mohammad Najafzadeh
  • Amir Etemad-Shahidi
  • Siow Yong Lim
Ocean Engineering (2016) 111: 128.
Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves
  • Mohammad Najafzadeh
  • Hazi Mohammad Azamathulla
Journal of Computing in Civil Engineering (2015) 29 (5)
Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions
  • Mohammad Najafzadeh
Ocean Engineering (2015) 99: 85.
Estimation of scour depth around circular piers: applications of model tree
  • Amir Etemad-Shahidi
  • Lisham Bonakdar
  • D.-S. Jeng
Journal of Hydroinformatics (2015) 17 (2): 226.
Model tree approach for prediction of pile groups scour due to waves
  • A. Etemad-Shahidi
  • N. Ghaemi
Ocean Engineering (2011) 38 (13): 1522.
  • IWA Publishing
  • Republic – Export Building, Units 1.04 & 1.05
  • 1 Clove Crescent
  • London, E14 2BA, UK
  • Telephone: +44 208 054 8202
  • Fax: +44 207 654 5555
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.
Accept