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Proceedings Papers

Numerical Investigation of Mean Drift Forces Acting on Restrained FPSO in Regular Waves by Linear and Nonlinear Tools

Csaba Pakozdi, Nuno Fonseca
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT12A011, June 5–10, 2022
Paper No: OMAE2022-79052
DOI: https://doi.org/10.1115/OMAE2022-79052
View Paper titled, Numerical Investigation of Mean Drift Forces Acting on Restrained FPSO in Regular Waves by Linear and Nonlinear Tools
Click here to open pdf in another window PDF for Numerical Investigation of Mean Drift Forces Acting on Restrained FPSO in Regular Waves by Linear and Nonlinear Tools
Topics: FPSO, Waves, Computational fluid dynamics, Wave drift forces, Flow (Dynamics), Simulation, Seas, Fourier analysis, Mooring, Physics
Proceedings Papers

Evaluation of Nonlinear Fourier-Based Maximum Wave Height Predictors Under the Nonlinear Schrödinger Equation

Yu-Chen Lee, Sander Wahls, Markus Brühl
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A060, June 5–10, 2022
Paper No: OMAE2022-79838
DOI: https://doi.org/10.1115/OMAE2022-79838
View Paper titled, Evaluation of Nonlinear Fourier-Based Maximum Wave Height Predictors Under the Nonlinear Schrödinger Equation
Click here to open pdf in another window PDF for Evaluation of Nonlinear Fourier-Based Maximum Wave Height Predictors Under the Nonlinear Schrödinger Equation
Topics: Schrödinger equation, Waves, Time series, Fourier transforms, Oceans, Seas, Solitons, Spectra (Spectroscopy), Surface waves (Fluid), Water
Proceedings Papers

Joint-Industry Effort to Develop and Verify CFD Modeling Practice for Predicting Wave Impact

Csaba Pakozdi, Eloise Croonenborghs, Jang Kim, Milovan Peric, Guillaume Ducrozet, Benjamin Bouscasse, Haihua Xu, Andrea Califano, Andreas Akselsen, Sebastien Loubeyre
Proc. ASME. OMAE2022, Volume 1: Offshore Technology, V001T01A005, June 5–10, 2022
Paper No: OMAE2022-79152
DOI: https://doi.org/10.1115/OMAE2022-79152
View Paper titled, Joint-Industry Effort to Develop and Verify CFD Modeling Practice for Predicting Wave Impact
Click here to open pdf in another window PDF for Joint-Industry Effort to Develop and Verify CFD Modeling Practice for Predicting Wave Impact
Topics: Computational fluid dynamics, Modeling, Waves, Time series, Simulation, Computer simulation, Computer software, Gravity (Force), Stress, Water
Proceedings Papers

Time Series Prediction of the Trend of Hydrate Risk Using Principal Component Analysis and Deep Learning

Nayoung Lee, Hyunho Kim, Yutaek Seo
Proc. ASME. OMAE2022, Volume 3: Materials Technology; Pipelines, Risers, and Subsea Systems, V003T04A018, June 5–10, 2022
Paper No: OMAE2022-79494
DOI: https://doi.org/10.1115/OMAE2022-79494
View Paper titled, Time Series Prediction of the Trend of Hydrate Risk Using Principal Component Analysis and Deep Learning
Click here to open pdf in another window PDF for Time Series Prediction of the Trend of Hydrate Risk Using Principal Component Analysis and Deep Learning
Topics: Principal component analysis, Risk, Time series
Proceedings Papers

Analyzing Extreme Sea State Conditions by Time-Series Simulation

Erik Vanem
Proc. ASME. OMAE2022, Volume 2: Structures, Safety, and Reliability, V002T02A041, June 5–10, 2022
Paper No: OMAE2022-78795
DOI: https://doi.org/10.1115/OMAE2022-78795
View Paper titled, Analyzing Extreme Sea State Conditions by Time-Series Simulation
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Topics: Seas, Significant wave heights, Simulation, Time series, Waves
Proceedings Papers

On the Calibration of Metocean Time Series Using Machine Learning

François Enet, Olga Podrazka, Laury Renac
Proc. ASME. OMAE2022, Volume 5A: Ocean Engineering, V05AT06A006, June 5–10, 2022
Paper No: OMAE2022-80274
DOI: https://doi.org/10.1115/OMAE2022-80274
View Paper titled, On the Calibration of Metocean Time Series Using Machine Learning
Click here to open pdf in another window PDF for On the Calibration of Metocean Time Series Using Machine Learning
Topics: Calibration, Machine learning, Time series, Computer simulation, Waves, Wind, Buoys, Engineering design, Reliability, Shorelines
Proceedings Papers

Characterisation of Ship-Induced Long-Period Primary Waves Using Nonlinear Fourier Transform (KdV-NFT)

Markus Brühl, Sander Wahls
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A055, June 5–10, 2022
Paper No: OMAE2022-78098
DOI: https://doi.org/10.1115/OMAE2022-78098
View Paper titled, Characterisation of Ship-Induced Long-Period Primary Waves Using Nonlinear Fourier Transform (KdV-NFT)
Click here to open pdf in another window PDF for Characterisation of Ship-Induced Long-Period Primary Waves Using Nonlinear Fourier Transform (KdV-NFT)
Topics: Fourier transforms, Ships, Waves, Solitons, Time series, Dynamics (Mechanics), Geometry, Korteweg-de Vries equation, Nonlinear waves, Spectra (Spectroscopy)
Proceedings Papers

Development of an Online Ship Simulator to Represent the Dynamic Ship Responses in Regular Waves Using an Inertial Measurement Unit

Luis A. Zorrilla Gomez, Beatriz K. Miranda Sandoval, Miguel A. Hinostroza, Saida M. Ramos Quiñonez, Nain M. Ramos Alvarez
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A059, June 5–10, 2022
Paper No: OMAE2022-79278
DOI: https://doi.org/10.1115/OMAE2022-79278
View Paper titled, Development of an Online Ship Simulator to Represent the Dynamic Ship Responses in Regular Waves Using an Inertial Measurement Unit
Click here to open pdf in another window PDF for Development of an Online Ship Simulator to Represent the Dynamic Ship Responses in Regular Waves Using an Inertial Measurement Unit
Topics: Measurement units and standards, Ships, Waves, Vessels, Degrees of freedom, Dynamic response, Ocean engineering, Propulsion systems, Seas, Time series
Proceedings Papers

Application of Machine Learning for the Generation of Tailored Wave Sequences

Marco Klein, Merten Stender, Mathies Wedler, Svenja Ehlers, Moritz Hartmann, Nicolas Desmars, Marc-André Pick, Robert Seifried, Norbert Hoffmann
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT12A015, June 5–10, 2022
Paper No: OMAE2022-78601
DOI: https://doi.org/10.1115/OMAE2022-78601
View Paper titled, Application of Machine Learning for the Generation of Tailored Wave Sequences
Click here to open pdf in another window PDF for Application of Machine Learning for the Generation of Tailored Wave Sequences
Topics: Machine learning, Waves, Artificial neural networks, Modeling, Nonlinear waves, Seas, Spectra (Spectroscopy), Time series
Proceedings Papers

Water-Depth Identification From Free-Surface Data Using the KdV-Based Nonlinear Fourier Transform

Pascal de Koster, Markus Brühl, Sander Wahls
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A056, June 5–10, 2022
Paper No: OMAE2022-78882
DOI: https://doi.org/10.1115/OMAE2022-78882
View Paper titled, Water-Depth Identification From Free-Surface Data Using the KdV-Based Nonlinear Fourier Transform
Click here to open pdf in another window PDF for Water-Depth Identification From Free-Surface Data Using the KdV-Based Nonlinear Fourier Transform
Topics: Fourier transforms, Water, Waves, Gages, Time series, Wave packets, Flumes, Korteweg-de Vries equation, Water waves, Wave propagation
Proceedings Papers

Application of Recurrent Neural Network Long Short-Term Memory Model on Early Kick Detection

Junzhe Wang, Evren M. Ozbayoglu
Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A008, June 5–10, 2022
Paper No: OMAE2022-78739
DOI: https://doi.org/10.1115/OMAE2022-78739
View Paper titled, Application of Recurrent Neural Network Long Short-Term Memory Model on Early Kick Detection
Click here to open pdf in another window PDF for Application of Recurrent Neural Network Long Short-Term Memory Model on Early Kick Detection
Topics: Artificial neural networks, Drilling, Time series
Proceedings Papers

Efficient Harbor Craft Monitoring System: Time-Series Data Analytics and Machine Learning Tools to Achieve Fuel Efficiency by Operational Scoring System

Zhi Yung Tay, Januwar Hadi, Dimitrios Konovessis, De Jin Loh, David Kong Hong Tan, Xiaobo Chen
Proc. ASME. OMAE2021, Volume 6: Ocean Engineering, V006T06A019, June 21–30, 2021
Paper No: OMAE2021-62658
DOI: https://doi.org/10.1115/OMAE2021-62658
View Paper titled, Efficient Harbor Craft Monitoring System: Time-Series Data Analytics and Machine Learning Tools to Achieve Fuel Efficiency by Operational Scoring System
Click here to open pdf in another window PDF for Efficient Harbor Craft Monitoring System: Time-Series Data Analytics and Machine Learning Tools to Achieve Fuel Efficiency by Operational Scoring System
Topics: Fuel efficiency, Machine learning, Monitoring systems, Time series
Proceedings Papers

A Study on Performance Evaluation of Non-Reflective Boundary for Progressive Waves Reproduction Introduced in Numerical Wave Tank With MPS Method

Yasuhiro Aida, Tomotaka Takeo, Tomoki Ikoma, Koichi Masuda
Proc. ASME. OMAE2021, Volume 5: Ocean Space Utilization, V005T05A014, June 21–30, 2021
Paper No: OMAE2021-62364
DOI: https://doi.org/10.1115/OMAE2021-62364
View Paper titled, A Study on Performance Evaluation of Non-Reflective Boundary for Progressive Waves Reproduction Introduced in Numerical Wave Tank With MPS Method
Click here to open pdf in another window PDF for A Study on Performance Evaluation of Non-Reflective Boundary for Progressive Waves Reproduction Introduced in Numerical Wave Tank With MPS Method
Topics: Particulate matter, Performance evaluation, Waves, Ocean engineering, Water, Absorption, Computer simulation, Energy dissipation, Position control, Reflection
Proceedings Papers

Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data

Lucas Pereira Cotrim, Henrique Barros Oliveira, Asdrubal N. Queiroz Filho, Ismael H. F. Santos, Rodrigo Augusto Barreira, Eduardo Aoun Tannuri, Anna Helena Reali Costa, Edson Satoshi Gomi
Proc. ASME. OMAE2021, Volume 1: Offshore Technology, V001T01A003, June 21–30, 2021
Paper No: OMAE2021-62674
DOI: https://doi.org/10.1115/OMAE2021-62674
View Paper titled, Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data
Click here to open pdf in another window PDF for Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data
Topics: Artificial neural networks, Design, FPSO, Mooring, Dynamics (Mechanics), Engineering simulation, Simulation, Time series, Architecture, Artificial intelligence
Proceedings Papers

Statistical Description of Nonlinear Waves

Elzbieta M. Bitner-Gregersen, Odin Gramstad
Proc. ASME. OMAE2021, Volume 2: Structures, Safety, and Reliability, V002T02A001, June 21–30, 2021
Paper No: OMAE2021-62867
DOI: https://doi.org/10.1115/OMAE2021-62867
View Paper titled, Statistical Description of Nonlinear Waves
Click here to open pdf in another window PDF for Statistical Description of Nonlinear Waves
Topics: Nonlinear waves, Statistics, Waves, Approximation, Density, Design, Engineering simulation, Marine structures, North Sea, Oceanography
Proceedings Papers

Evaluation of a Hybrid Representation to Model the Wind Turbine, Platform and Mooring Lines in the Analysis of Floating Offshore Wind Turbines

Elói Daniel de Araújo Neto, William Steven Mendez Rodriguez, Fabricio Nogueira Correa, Beatriz de Souza Leite Pires de Lima, Breno Pinheiro Jacob, Arturo Ortega
Proc. ASME. OMAE2020, Volume 9: Ocean Renewable Energy, V009T09A066, August 3–7, 2020
Paper No: OMAE2020-18889
DOI: https://doi.org/10.1115/OMAE2020-18889
View Paper titled, Evaluation of a Hybrid Representation to Model the Wind Turbine, Platform and Mooring Lines in the Analysis of Floating Offshore Wind Turbines
Click here to open pdf in another window PDF for Evaluation of a Hybrid Representation to Model the Wind Turbine, Platform and Mooring Lines in the Analysis of Floating Offshore Wind Turbines
Topics: Floating wind turbines, Mooring, Wind turbines, Blades, Design, Elasticity, Finite element analysis, Finite element model, Hull, Pipeline risers
Proceedings Papers

Experimental Study the Performance of a Compact Mooring System for a Dual Chamber Floating Oscillating Water Column Device

Sheng Xu, K. Rezanejad, Shan Wang, J. F. M. Gadelho, C. Guedes Soares
Proc. ASME. OMAE2020, Volume 9: Ocean Renewable Energy, V009T09A026, August 3–7, 2020
Paper No: OMAE2020-18839
DOI: https://doi.org/10.1115/OMAE2020-18839
View Paper titled, Experimental Study the Performance of a Compact Mooring System for a Dual Chamber Floating Oscillating Water Column Device
Click here to open pdf in another window PDF for Experimental Study the Performance of a Compact Mooring System for a Dual Chamber Floating Oscillating Water Column Device
Topics: Mooring, Oscillations, Water, Waves, Wave energy converters, Degrees of freedom, Buoys, Damping, Elevations (Drawings), Energy conversion
Proceedings Papers

Torque Control of a Laboratory Scale Variable Speed Hydrokinetic Tidal Turbine: CFD Simulation and Validation

Arturo Ortega, Anup Nambiar, David Ingram, Danny Sale
Proc. ASME. OMAE2020, Volume 9: Ocean Renewable Energy, V009T09A005, August 3–7, 2020
Paper No: OMAE2020-18830
DOI: https://doi.org/10.1115/OMAE2020-18830
View Paper titled, Torque Control of a Laboratory Scale Variable Speed Hydrokinetic Tidal Turbine: CFD Simulation and Validation
Click here to open pdf in another window PDF for Torque Control of a Laboratory Scale Variable Speed Hydrokinetic Tidal Turbine: CFD Simulation and Validation
Topics: Computational fluid dynamics, Simulation, Tidal turbines, Torque control, Control systems, Flow (Dynamics), Turbines, Energy generation, Tides, Torque
Proceedings Papers

On GIS Based Selection of Suitable Site Including Cooperation With Surrounding Medical Facilities by Mesh Analysis of Floating Medical Support System on Big Disaster

Hiroaki Eto, Sena Shimomoto, Sachio Togawa, Morikazu Yamamoto, Shintaro Miyasawa, Junko Yamaguchi, Tomoki Ikoma, Yasuhiro Aida, Koichi Masuda, Hiroki Udagawa
Proc. ASME. OMAE2020, Volume 5: Ocean Space Utilization, V005T05A021, August 3–7, 2020
Paper No: OMAE2020-19026
DOI: https://doi.org/10.1115/OMAE2020-19026
View Paper titled, On GIS Based Selection of Suitable Site Including Cooperation With Surrounding Medical Facilities by Mesh Analysis of Floating Medical Support System on Big Disaster
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Topics: Biomedicine, Disasters, Earthquakes, Structures, Water, Damage, Rivers, Shorelines, Transportation systems, Cities
Proceedings Papers

Effect of a Passive Tuned Mass Damper on Offshore Installation of a Wind Turbine Nacelle

Zhiyu Jiang, Trond Kvia Skrudland, Madjid Karimirad, Constatine Machiladies, Wei Shi
Proc. ASME. OMAE2020, Volume 6A: Ocean Engineering, V06AT06A053, August 3–7, 2020
Paper No: OMAE2020-18171
DOI: https://doi.org/10.1115/OMAE2020-18171
View Paper titled, Effect of a Passive Tuned Mass Damper on Offshore Installation of a Wind Turbine Nacelle
Click here to open pdf in another window PDF for Effect of a Passive Tuned Mass Damper on Offshore Installation of a Wind Turbine Nacelle
Topics: Dampers, Offshore installations, Offshore wind turbines, Wind turbines, Seas, Computer simulation, Cranes, Jack-up drilling rigs, Statistics, Time series