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Proceedings Papers

A Novel Approach for Ship Digital Twin Optimisation: Principal Component Analysis-Driven Distortion Base Mode Selection and Utilisation

Seung Woo Song, Chungkuk Jin, Do Kyun Kim
Proc. ASME. OMAE2024, Volume 1: Offshore Technology, V001T01A041, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-124226
https://doi.org/10.1115/OMAE2024-124226
View Paper titled, A Novel Approach for Ship Digital Twin Optimisation: Principal Component Analysis-Driven Distortion Base Mode Selection and Utilisation
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Topics: Digital twin, Optimization, Principal component analysis, Ships
Proceedings Papers

Methodology to Define the Probability of Detection of Failures In Subsea Equipment Considering Multiple Influencing Factors

João Pedro B. Cuba, Adriana M. Schleder, Marcelo R. Martins, Leonardo O. de Barros, Rene Thiago C. Orlowski
Proc. ASME. OMAE2024, Volume 2: Structures, Safety, and Reliability, V002T02A060, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-127506
https://doi.org/10.1115/OMAE2024-127506
View Paper titled, Methodology to Define the Probability of Detection of Failures In Subsea Equipment Considering Multiple Influencing Factors
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Topics: Failure, Inspection, Ocean engineering, Principal component analysis, Probability, Damage, Failure mechanisms, Optimization, Petroleum industry, Risk
Proceedings Papers

Predictions of Wind Loads on FPSO With POD-Based Discrete Empirical Interpolation Methods

Xiuqing Xing, My Ha Dao, Baili Zhang, Jing Lou, Wei Siang Tan, Yongdong Cui, Boo Cheong Khoo
Proc. ASME. OMAE2023, Volume 1: Offshore Technology, V001T01A012, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-101352
https://doi.org/10.1115/OMAE2023-101352
View Paper titled, Predictions of Wind Loads on FPSO With POD-Based Discrete Empirical Interpolation Methods
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Topics: Computational fluid dynamics, FPSO, Interpolation, Principal component analysis, Stress, Wind
Proceedings Papers

2d Wave Spectra Forecast Correction Applying Machine Learning

Bruno V. Primo, Fernanda M. Achete, Aline Kaji, Nicholas Barbosa, André Ramiro, Filipe Salvio
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A075, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-108536
https://doi.org/10.1115/OMAE2023-108536
View Paper titled, 2d Wave Spectra Forecast Correction Applying Machine Learning
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Topics: Machine learning, Spectra (Spectroscopy), Waves, Computer simulation, Errors, Modeling, Ocean engineering, Principal component analysis
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
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-79494
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
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Topics: Principal component analysis, Risk, Time series
Proceedings Papers

Three-Dimensional Large Eddy Simulations and Proper Orthogonal Decomposition Analysis of Flow Around a Flexibly Supported Circular Cylinder

Marek Jan Janocha, Lukas Philip Fabricius, Guang Yin, Muk Chen Ong
Proc. ASME. OMAE2022, Volume 7: CFD and FSI, V007T08A025, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-78378
https://doi.org/10.1115/OMAE2022-78378
View Paper titled, Three-Dimensional Large Eddy Simulations and Proper Orthogonal Decomposition Analysis of Flow Around a Flexibly Supported Circular Cylinder
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Topics: Circular cylinders, Flow (Dynamics), Large eddy simulation, Principal component analysis, Vortex-induced vibration
Proceedings Papers

Fusing Experimental Measurements and ROM Predicted Data for Wind Load Prediction With Extended Kalman Filter

Xiuqing Xing, My Ha Dao, Baili Zhang, Jing Lou, Wei Siang Tan, Yongdong Cui, Boo Cheong Khoo
Proc. ASME. OMAE2021, Volume 8: CFD and FSI, V008T08A004, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62672
https://doi.org/10.1115/OMAE2021-62672
View Paper titled, Fusing Experimental Measurements and ROM Predicted Data for Wind Load Prediction With Extended Kalman Filter
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Topics: Computational fluid dynamics, Kalman filters, Principal component analysis, Stress, Wind
Proceedings Papers

Modeling Spatio-Temporal Characteristics of Metocean Conditions During Hurricanes Using Deep Neural Networks

Chi Qiao, Andrew T. Myers
Proc. ASME. OMAE2020, Volume 6B: Ocean Engineering, V06BT06A005, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18989
https://doi.org/10.1115/OMAE2020-18989
View Paper titled, Modeling Spatio-Temporal Characteristics of Metocean Conditions During Hurricanes Using Deep Neural Networks
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Topics: Artificial neural networks, Modeling, Principal component analysis
Proceedings Papers

A Hybrid Data-Driven Deep Learning Technique for Fluid-Structure Interaction

T. P. Miyanawala, Rajeev K. Jaiman
Proc. ASME. OMAE2019, Volume 2: CFD and FSI, V002T08A004, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95870
https://doi.org/10.1115/OMAE2019-95870
View Paper titled, A Hybrid Data-Driven Deep Learning Technique for Fluid-Structure Interaction
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Topics: Fluid structure interaction, Flow (Dynamics), Approximation, Time series, Wakes, Artificial neural networks, Dynamics (Mechanics), Finite element analysis, Fluids, Modeling
Proceedings Papers

Reduced Order Model for Unsteady Fluid Flows via Recurrent Neural Networks

Sandeep B. Reddy, Allan Ross Magee, Rajeev K. Jaiman, J. Liu, W. Xu, A. Choudhary, A. A. Hussain
Proc. ASME. OMAE2019, Volume 2: CFD and FSI, V002T08A007, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-96543
https://doi.org/10.1115/OMAE2019-96543
View Paper titled, Reduced Order Model for Unsteady Fluid Flows via Recurrent Neural Networks
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Topics: Artificial neural networks, Fluid dynamics, Principal component analysis
Proceedings Papers

Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship

Prateek Gupta, Sverre Steen, Adil Rasheed
Proc. ASME. OMAE2019, Volume 7A: Ocean Engineering, V07AT06A059, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95815
https://doi.org/10.1115/OMAE2019-95815
View Paper titled, Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship
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Topics: Principal component analysis, Ships
Proceedings Papers

A Projection-Based Reduced Order Model (PBROM) for Coupled Physical-Numerical Simulations

My Ha Dao
Proc. ASME. OMAE2018, Volume 2: CFD and FSI, V002T08A010, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78515
https://doi.org/10.1115/OMAE2018-78515
View Paper titled, A Projection-Based Reduced Order Model (PBROM) for Coupled Physical-Numerical Simulations
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Topics: Simulation, Algorithms, Boundary-value problems, Computational fluid dynamics, Construction, Flow (Dynamics), Modeling, Principal component analysis, Reynolds number
Proceedings Papers

A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition

Eivind Fonn, Adil Rasheed, Mandar Tabib, Trond Kvamsdal
Proc. ASME. OMAE2017, Volume 1: Offshore Technology, V001T01A011, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-62435
https://doi.org/10.1115/OMAE2017-62435
View Paper titled, A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition
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Topics: Flow (Dynamics), Modeling, Principal component analysis, Wakes, Partial differential equations, Architecture, Construction, Degrees of freedom, Engineering simulation, Hardware
Proceedings Papers

An Empirical Procedure for Fatigue Damage Estimation in Instrumented Risers

C. Shi, L. Manuel
Proc. ASME. OMAE2016, Volume 2: CFD and VIV, V002T08A072, June 19–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2016-54623
https://doi.org/10.1115/OMAE2016-54623
View Paper titled, An Empirical Procedure for Fatigue Damage Estimation in Instrumented Risers
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Topics: Fatigue damage, Pipeline risers, Risers (Casting), Sensors, Vortex-induced vibration, Dynamic response, Fatigue, Kinetic energy, Marine drilling risers, Mode shapes
Proceedings Papers

Fatigue and Fracture Degradation Inspection of Offshore Structures and Mechanical Items: The State of the Art

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. OMAE2015, Volume 4: Materials Technology, V004T03A018, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-41533
https://doi.org/10.1115/OMAE2015-41533
View Paper titled, Fatigue and Fracture Degradation Inspection of Offshore Structures and Mechanical Items: The State of the Art
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Topics: Fatigue, Fracture (Materials), Inspection, Offshore structures, Damage, Fatigue life, Fitness-for-service, Nondestructive evaluation, Design, Failure
Proceedings Papers

A POD-Based Method for Low-Dimensional Components of Free/Moving Surface Flows

Yi Zhang, Solomon C. Yim
Proc. ASME. OMAE2015, Volume 2: CFD and VIV, V002T08A023, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-41697
https://doi.org/10.1115/OMAE2015-41697
View Paper titled, A POD-Based Method for Low-Dimensional Components of Free/Moving Surface Flows
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Topics: Flow (Dynamics), Approximation, Computation, Dynamics (Mechanics), Physics, Principal component analysis, Sloshing, Water
Proceedings Papers

Experimental Reconstruction of the Hull Sectional Forces Under Slamming Events

Daniele Dessi
Proc. ASME. OMAE2015, Volume 11: Prof. Robert F. Beck Honoring Symposium on Marine Hydrodynamics, V011T12A014, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-42206
https://doi.org/10.1115/OMAE2015-42206
View Paper titled, Experimental Reconstruction of the Hull Sectional Forces Under Slamming Events
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Topics: Hull, Stress, Waves, Approximation, Filtration, Floating bodies, Fluid-dynamic forces, Polynomials, Principal component analysis, Seas
Proceedings Papers

Experimental Investigation vs Numerical Simulation of the Dynamic Response of a Moored Floating Structure to Waves

Daniele Dessi, Sara Siniscalchi Minna
Proc. ASME. OMAE2014, Volume 8B: Ocean Engineering, V08BT06A027, June 8–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2014-24064
https://doi.org/10.1115/OMAE2014-24064
View Paper titled, Experimental Investigation vs Numerical Simulation of the Dynamic Response of a Moored Floating Structure to Waves
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Topics: Computer simulation, Dynamic response, Floating structures, Mooring, Waves, Cables, Principal component analysis, Seabed, Surges, Wave energy
Proceedings Papers

Reconstruction of the Experimental Slamming Force Distribution Based on POD

Daniele Dessi
Proc. ASME. OMAE2013, Volume 9: Odd M. Faltinsen Honoring Symposium on Marine Hydrodynamics, V009T12A057, June 9–14, 2013
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2013-11567
https://doi.org/10.1115/OMAE2013-11567
View Paper titled, Reconstruction of the Experimental Slamming Force Distribution Based on POD
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Topics: Approximation, Floating bodies, Hull, Polynomials, Principal component analysis, Splines, Stress, Water, Waves
Proceedings Papers

Extreme Directional and Planar Profiles for Kuroshio Current Using Inverse FORM and Proper Orthogonal Decomposition

Puneet Agarwal, Scot McNeill, Tomokazu Saruhashi, Ikuo Sawada, Masanori Kyo, Eigo Miyazaki, Yasuyuki Yamazaki, Kan Aoike
Proc. ASME. OMAE2013, Volume 2B: Structures, Safety and Reliability, V02BT02A048, June 9–14, 2013
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2013-11532
https://doi.org/10.1115/OMAE2013-11532
View Paper titled, Extreme Directional and Planar Profiles for Kuroshio Current Using Inverse FORM and Proper Orthogonal Decomposition
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Topics: Principal component analysis, Currents, Pipeline risers, Risers (Casting), Shapes, Water, Drilling, Flow (Dynamics), Reliability, Shorelines