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Journal Articles

Investigating the impact of system parameters on flow-induced vibration hard galloping based on deep neural network

Accepted Manuscript
Dahai Zhang, Weijie Li, Shuai Zhang, Zhang Bai
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng.
Paper No: OMAE-24-1057
https://doi.org/10.1115/1.4066755
Published Online: October 1, 2024
View Article titled, Investigating the impact of system parameters on flow-induced vibration hard galloping based on deep neural network
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Topics: Artificial neural networks, Flow-induced vibrations, Computational fluid dynamics, Fluid structure interaction, Machine learning, Regression models, Vibration, Vortex-induced vibration
Journal Articles

Methodology for Real-Time Torque Estimation in a Ship Propulsion Digital Twin

Etienne Purcell, Amir R. Nejad, Anriëtte Bekker
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. April 2025, 147(2): 021402.
Paper No: OMAE-24-1065
https://doi.org/10.1115/1.4066412
Published Online: September 25, 2024
View Article titled, Methodology for Real-Time Torque Estimation in a Ship Propulsion Digital Twin
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Topics: Propellers, Torque, Ships, Digital twin, Artificial neural networks, Polynomials
Journal Articles

Physics-Informed Neural Networks for Prediction of a Flow-Induced Vibration Cylinder

Guang Yin, Marek Jan Janocha, Muk Chen Ong
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. December 2024, 146(6): 061203.
Paper No: OMAE-24-1021
https://doi.org/10.1115/1.4066117
Published Online: August 20, 2024
View Article titled, Physics-Informed Neural Networks for Prediction of a Flow-Induced Vibration Cylinder
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Topics: Cylinders, Flow (Dynamics), Flow-induced vibrations, Artificial neural networks, Physics, Trains, Simulation results
Journal Articles

An Attention-Based Deep Learning Model for Phase-Resolved Wave Prediction

Jialun Chen, David Gunawan, Paul H. Taylor, Yunzhuo Chen, Ian A. Milne, Wenhua Zhao
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. April 2025, 147(2): 022002.
Paper No: OMAE-24-1019
https://doi.org/10.1115/1.4065969
Published Online: August 6, 2024
View Article titled, An Attention-Based Deep Learning Model for Phase-Resolved Wave Prediction
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Topics: Artificial neural networks, Buoys, Waves, Errors, Neural network models
Journal Articles

Using Convolutional Neural Networks in Installation Analysis of Lazy-Wave Flexible Risers

Felliphe Góes Fernandes Barbosa, Gabriel Mattos Gonzalez, Luis Volnei Sudati Sagrilo
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. February 2025, 147(1): 011801.
Paper No: OMAE-23-1153
https://doi.org/10.1115/1.4065708
Published Online: July 2, 2024
View Article titled, Using Convolutional Neural Networks in Installation Analysis of Lazy-Wave Flexible Risers
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Topics: Artificial neural networks, Convolutional neural networks, Finite element methods, Pipeline risers, Risers (Casting), Tension, Waves, Computer simulation, Time series, Pipes
Journal Articles

A Physics-Informed Neural Operator for the Simulation of Surface Waves

Marlon S. Mathias, Caio F. D. Netto, Felipe M. Moreno, Jefferson F. Coelho, Lucas P. de Freitas, Marcel R. de Barros, Pedro C. de Mello, Marcelo Dottori, Fábio G. Cozman, Anna H. R. Costa, Alberto C. Nogueira Junior, Edson S. Gomi, Eduardo A. Tannuri
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. December 2024, 146(6): 061201.
Paper No: OMAE-23-1099
https://doi.org/10.1115/1.4064676
Published Online: February 26, 2024
View Article titled, A Physics-Informed Neural Operator for the Simulation of Surface Waves
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Topics: Artificial neural networks, Boundary-value problems, Errors, Physics, Rotation, Simulation, Surface waves (Fluid), Water, Waves, Dimensions
Journal Articles

Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation to Experimental Data

Gustavo A. Bisinotto, Pedro C. de Mello, Fabio G. Cozman, Eduardo A. Tannuri
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. October 2024, 146(5): 051204.
Paper No: OMAE-23-1115
https://doi.org/10.1115/1.4064618
Published Online: February 13, 2024
View Article titled, Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation to Experimental Data
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Topics: Waves, Vessels, Artificial neural networks, Spectra (Spectroscopy), Platform supply vessels
Journal Articles

Weakly Nonlinear Surface Wave Prediction Using a Data-Driven Method With the Help of Physical Understanding

Jialun Chen, Ian A. Milne, David Gunawan, Paul H. Taylor, Wenhua Zhao
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. August 2024, 146(4): 041201.
Paper No: OMAE-23-1081
https://doi.org/10.1115/1.4064109
Published Online: December 11, 2023
View Article titled, Weakly Nonlinear Surface Wave Prediction Using a Data-Driven Method With the Help of Physical Understanding
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Topics: Artificial neural networks, Nonlinear waves, Waves, Surface waves (Fluid), Seas, Errors
Journal Articles

An Application of Machine Learning Algorithms on the Prediction of the Damage Level of Rubble-Mound Breakwaters

Susmita Saha, Soumen De, Satyasaran Changdar
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. February 2024, 146(1): 011202.
Paper No: OMAE-22-1185
https://doi.org/10.1115/1.4062475
Published Online: May 24, 2023
View Article titled, An Application of Machine Learning Algorithms on the Prediction of the Damage Level of Rubble-Mound Breakwaters
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Topics: Algorithms, Artificial neural networks, Breakwaters, Damage, Machine learning, Stability, Support vector machines
Journal Articles

Data-Driven Prediction of Complex Flow Field Over an Axisymmetric Body of Revolution Using Machine Learning

J. P. Panda, H. V. Warrior
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Offshore Mech. Arct. Eng. December 2022, 144(6): 060903.
Paper No: OMAE-21-1158
https://doi.org/10.1115/1.4055280
Published Online: September 14, 2022
View Article titled, Data-Driven Prediction of Complex Flow Field Over an Axisymmetric Body of Revolution Using Machine Learning
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Topics: Artificial neural networks, Flow (Dynamics), Machine learning, Algorithms, Turbulence, Computational fluid dynamics, Pressure
Journal Articles

Active Absorption of Random Waves in Wave Flume Using Artificial Neural Networks

Áureo I. W. Ramos, Antonio C. Fernandes, Vanessa M. Thomaz
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. August 2022, 144(4): 041201.
Paper No: OMAE-21-1146
https://doi.org/10.1115/1.4054266
Published Online: April 26, 2022
View Article titled, Active Absorption of Random Waves in Wave Flume Using Artificial Neural Networks
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Topics: Absorption, Artificial neural networks, Waves
Journal Articles

Applied Deep Learning for Slender Marine Structure Dynamic Analysis

Vinicius Ribeiro Machado da Silva, Luis Volnei Sudati Sagrilo, Breno Serrano de Araujo
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. April 2022, 144(2): 021701.
Paper No: OMAE-21-1056
https://doi.org/10.1115/1.4052243
Published Online: October 5, 2021
View Article titled, Applied Deep Learning for Slender Marine Structure Dynamic Analysis
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Topics: Artificial neural networks, Marine structures, Waves, Time series, Seas, Pipes, Tension
Journal Articles

Profiles of Two JOMAE Associate Editors (A Continuing Series)

Lance Manuel
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Editorial
J. Offshore Mech. Arct. Eng. October 2021, 143(5): 050201.
Paper No: OMAE-21-1096
https://doi.org/10.1115/1.4051772
Published Online: July 30, 2021
View Article titled, Profiles of Two JOMAE Associate Editors (A Continuing Series)
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Topics: Arctic engineering, China, Civil engineering, Design, Engineering teachers, Engineers, Inspection, Magnetic fields, Mooring, Nondestructive evaluation
Journal Articles

Motion Characteristic Analysis of a Floating Structure in the South China Sea Based on Prototype Monitoring

Wen-Hua Wu, Da Tang, Xiao-Wei Cui, Shi-Sheng Wang, Jia-Guo Feng, Qian-Jin Yue
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research-Article
J. Offshore Mech. Arct. Eng. April 2019, 141(2): 021102.
Paper No: OMAE-17-1108
https://doi.org/10.1115/1.4041533
Published Online: October 12, 2018
View Article titled, Motion Characteristic Analysis of a Floating Structure in the South China Sea Based on Prototype Monitoring
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Topics: Artificial neural networks, China, Engineering prototypes, Manufacturing systems, Waves, Seas, Oceans, Computer simulation, Stress, Surges
Journal Articles

Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research-Article
J. Offshore Mech. Arct. Eng. December 2017, 139(6): 061401.
Paper No: OMAE-17-1055
https://doi.org/10.1115/1.4037290
Published Online: August 16, 2017
View Article titled, Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping
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Topics: Finite element methods, Finite element model, Fracture (Materials), Stress, Polynomials, Underwater pipelines, Testing, Pipes, Artificial neural networks, Support vector machines
Journal Articles

The Reconstruction of Significant Wave Height Time Series by Using a Neural Network Approach

Felice Arena, Silvia Puca
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Technical Papers
J. Offshore Mech. Arct. Eng. August 2004, 126(3): 213–219.
https://doi.org/10.1115/1.1782646
Published Online: February 6, 2004
View Article titled, The Reconstruction of Significant Wave Height Time Series by Using a Neural Network Approach
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Topics: Algorithms, Artificial neural networks, Buoys, Seas, Significant wave heights, Storms, Testing, Time series
Journal Articles

Prediction of the Hydrodynamic Parameters in the Coupled Heave and Pitch Motion Equations for Underwater Robotic Vehicles Using Measured Responses at Sea

Ayman B. Mahfouz, Mahmoud R. Haddara, Mem. ASME, Christopher D. Williams
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Technical Papers
J. Offshore Mech. Arct. Eng. August 2001, 123(3): 93–102.
https://doi.org/10.1115/1.1382593
Published Online: April 20, 2001
View Article titled, Prediction of the Hydrodynamic Parameters in the Coupled Heave and Pitch Motion Equations for Underwater Robotic Vehicles Using Measured Responses at Sea
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Topics: Algorithms, Artificial neural networks, Damping, Equations of motion, Excitation, Robotic vehicles, Seas, Waves, Vehicles, Spectral energy distribution
Journal Articles

A Neural Network Fit to Icebreaker Resistance Data

M. Hinchey
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. November 1994, 116(4): 252–254.
https://doi.org/10.1115/1.2920160
Published Online: November 1, 1994
View Article titled, A Neural Network Fit to Icebreaker Resistance Data
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Topics: Artificial neural networks, Icebreakers, Engineering prototypes, Scaling laws (Mathematical physics)