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Rabuñal, Juan R. - One of the best experts on this subject based on the ideXlab platform.

  • Machine Learning Based Moored Ship Movement Prediction
    'MDPI AG', 2021
    Co-Authors: Alvarellos Alberto, Figuero Andrés, Sande Jose, Peña Enrique, Carro Fidalgo Humberto, Costas Gómez Raquel, Guerra Andrés, Rabuñal, Juan R.
    Abstract:

    [Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020. Using this data, we created neural networks and gradient boosting models that predict the six degrees of freedom of a Moored Vessel from ocean-meteorological data and ship characteristics. The best models achieve, for the surge, sway, heave, roll, pitch and yaw movements, a 0.99, 0.99, 0.95, 0.99, 0.98 and 0.98 R2 in training and have a 0.10 m, 0.11 m, 0.09 m, 0.9°, 0.11° and 0.15° RMSE in testing, all below 10% of the corresponding movement range. Using these models with forecast data for the weather conditions and sea state and the ship characteristics and berthing location, we can predict the ship movements several days in advance. These results are good enough to reliably compare the models’ predictions with the limiting motion criteria for safe working conditions of ship (un) loading operations, helping us decide the best location for operation and when to stop operations more precisely, thus minimizing the economic impact of cargo ships unable to operate.This research was funded by the Spanish Ministry of Economy, Industry, and Competitiveness, R&D National Plan, within the project BIA2017-86738-R, the FPI predoctoral grant from the Spanish Ministry of Science, Innovation, and Universities (PRE2018-083777) and the Spanish Ministry of Science and Innovation, Retos Call, within the project PID2020-112794RB-I00

  • Field measurements of angular motions of a Vessel at berth : Inertial device application
    Romanian Soc Control Tech Informatics, 2018
    Co-Authors: Figuero Andrés, Rodriguez Alvaro, Sande Jose, Peña Enrique, Rabuñal, Juan R.
    Abstract:

    The study and characterization of the oscillations of a Moored Vessel has a major importance in port operational efficiency, not only in the design of mooring and anchoring systems, but also in order to prevent the movement of the cargo, minimize ship and dock damage and optimizing the operations which have to take place while the ship is Moored.The dynamic behavior of a Vessel Moored in waves has been mathematically described and interactions between ships and environmental loads such as waves, wind, currents and ice are commonly tested for different docks and mooring systems in scale models. However, field data studies of the behavior Moored ships have not been properly addressed so far.This paper proposes a novel application of Inertial Measurement Units to estimate the angular movements (roll, pitch and yaw) of a Moored Vessel. The proposed technique has been validated in laboratory conditions and the behavior of the ship Urania Mella in the Outer Port of Punta Langosteira (A Coruña, Spain), has been analyzed, obtaining very promising results

Juan Rabuñal - One of the best experts on this subject based on the ideXlab platform.

  • Machine Learning Based Moored Ship Movement Prediction
    'MDPI AG', 2021
    Co-Authors: Alberto Alvarellos, Andrés Figuero, Humberto Carro, Raquel Costas, José Sande, Andrés Guerra, Enrique Peña, Juan Rabuñal
    Abstract:

    Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020. Using this data, we created neural networks and gradient boosting models that predict the six degrees of freedom of a Moored Vessel from ocean-meteorological data and ship characteristics. The best models achieve, for the surge, sway, heave, roll, pitch and yaw movements, a 0.99, 0.99, 0.95, 0.99, 0.98 and 0.98 R2 in training and have a 0.10 m, 0.11 m, 0.09 m, 0.9°, 0.11° and 0.15° RMSE in testing, all below 10% of the corresponding movement range. Using these models with forecast data for the weather conditions and sea state and the ship characteristics and berthing location, we can predict the ship movements several days in advance. These results are good enough to reliably compare the models’ predictions with the limiting motion criteria for safe working conditions of ship (un) loading operations, helping us decide the best location for operation and when to stop operations more precisely, thus minimizing the economic impact of cargo ships unable to operate

Van Deyzen A. - One of the best experts on this subject based on the ideXlab platform.

  • Bollard loads on new port infrastructure, port of Rotterdam authority policy
    2018
    Co-Authors: Broos E.j., Hoebee W., Van Scherpenzeel B.r.j., Burgers J.j., Schweter L., Van Deyzen A.
    Abstract:

    Mooring of Vessels is very important for safe and efficient cargo handling of ships in ports, just as safe infrastructure is important. Civil Engineers and Mariners used to have a different approach for the same problem: what should be the safe working load (SWL) of a bollard. Mariners use the Minimum Breaking Load (MBL) of their mooring lines to determine the desired Safe Working Load (SWL) of the bollard, civil engineers commonly use design tables from international standards or guidelines with a relation between displacement of the Vessel and bollard loads. There is a big gap between these two approaches, especially concerning the mooring of large container Vessels. Both disciplines meet each other in dynamic mooring analysis (DMA); a computer calculation that calculates the Vessel motions and resulting maximum loads on the mooring point resulting from wind, wave (sea, swell), current and passing Vessel forces acting on the Moored Vessel. As a DMA is a rather complex calculation, a DMA is not carried out for every project and usually not in a preliminary design stage. This position paper describes a design approach for bollard loads that is understandable and acceptable for all involved disciplines and that is used by the Port of Rotterdam Authority for new builds

  • Bollard loads on new port infrastructure, port of Rotterdam authority policy
    2018
    Co-Authors: Broos E.j., Hoebee W., Van Scherpenzeel B.r.j., Burgers J.j., Schweter L., Van Deyzen A.
    Abstract:

    Mooring of Vessels is very important for safe and efficient cargo handling of ships in ports, just as safe infrastructure is important. Civil Engineers and Mariners used to have a different approach for the same problem: what should be the safe working load (SWL) of a bollard. Mariners use the Minimum Breaking Load (MBL) of their mooring lines to determine the desired Safe Working Load (SWL) of the bollard, civil engineers commonly use design tables from international standards or guidelines with a relation between displacement of the Vessel and bollard loads. There is a big gap between these two approaches, especially concerning the mooring of large container Vessels. Both disciplines meet each other in dynamic mooring analysis (DMA); a computer calculation that calculates the Vessel motions and resulting maximum loads on the mooring point resulting from wind, wave (sea, swell), current and passing Vessel forces acting on the Moored Vessel. As a DMA is a rather complex calculation, a DMA is not carried out for every project and usually not in a preliminary design stage. This position paper describes a design approach for bollard loads that is understandable and acceptable for all involved disciplines and that is used by the Port of Rotterdam Authority for new builds.Rivers, Ports, Waterways and Dredging Engineerin

Figuero Andrés - One of the best experts on this subject based on the ideXlab platform.

  • Machine Learning Based Moored Ship Movement Prediction
    'MDPI AG', 2021
    Co-Authors: Alvarellos Alberto, Figuero Andrés, Sande Jose, Peña Enrique, Carro Fidalgo Humberto, Costas Gómez Raquel, Guerra Andrés, Rabuñal, Juan R.
    Abstract:

    [Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020. Using this data, we created neural networks and gradient boosting models that predict the six degrees of freedom of a Moored Vessel from ocean-meteorological data and ship characteristics. The best models achieve, for the surge, sway, heave, roll, pitch and yaw movements, a 0.99, 0.99, 0.95, 0.99, 0.98 and 0.98 R2 in training and have a 0.10 m, 0.11 m, 0.09 m, 0.9°, 0.11° and 0.15° RMSE in testing, all below 10% of the corresponding movement range. Using these models with forecast data for the weather conditions and sea state and the ship characteristics and berthing location, we can predict the ship movements several days in advance. These results are good enough to reliably compare the models’ predictions with the limiting motion criteria for safe working conditions of ship (un) loading operations, helping us decide the best location for operation and when to stop operations more precisely, thus minimizing the economic impact of cargo ships unable to operate.This research was funded by the Spanish Ministry of Economy, Industry, and Competitiveness, R&D National Plan, within the project BIA2017-86738-R, the FPI predoctoral grant from the Spanish Ministry of Science, Innovation, and Universities (PRE2018-083777) and the Spanish Ministry of Science and Innovation, Retos Call, within the project PID2020-112794RB-I00

  • Field measurements of angular motions of a Vessel at berth : Inertial device application
    Romanian Soc Control Tech Informatics, 2018
    Co-Authors: Figuero Andrés, Rodriguez Alvaro, Sande Jose, Peña Enrique, Rabuñal, Juan R.
    Abstract:

    The study and characterization of the oscillations of a Moored Vessel has a major importance in port operational efficiency, not only in the design of mooring and anchoring systems, but also in order to prevent the movement of the cargo, minimize ship and dock damage and optimizing the operations which have to take place while the ship is Moored.The dynamic behavior of a Vessel Moored in waves has been mathematically described and interactions between ships and environmental loads such as waves, wind, currents and ice are commonly tested for different docks and mooring systems in scale models. However, field data studies of the behavior Moored ships have not been properly addressed so far.This paper proposes a novel application of Inertial Measurement Units to estimate the angular movements (roll, pitch and yaw) of a Moored Vessel. The proposed technique has been validated in laboratory conditions and the behavior of the ship Urania Mella in the Outer Port of Punta Langosteira (A Coruña, Spain), has been analyzed, obtaining very promising results

Sande Jose - One of the best experts on this subject based on the ideXlab platform.

  • Machine Learning Based Moored Ship Movement Prediction
    'MDPI AG', 2021
    Co-Authors: Alvarellos Alberto, Figuero Andrés, Sande Jose, Peña Enrique, Carro Fidalgo Humberto, Costas Gómez Raquel, Guerra Andrés, Rabuñal, Juan R.
    Abstract:

    [Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020. Using this data, we created neural networks and gradient boosting models that predict the six degrees of freedom of a Moored Vessel from ocean-meteorological data and ship characteristics. The best models achieve, for the surge, sway, heave, roll, pitch and yaw movements, a 0.99, 0.99, 0.95, 0.99, 0.98 and 0.98 R2 in training and have a 0.10 m, 0.11 m, 0.09 m, 0.9°, 0.11° and 0.15° RMSE in testing, all below 10% of the corresponding movement range. Using these models with forecast data for the weather conditions and sea state and the ship characteristics and berthing location, we can predict the ship movements several days in advance. These results are good enough to reliably compare the models’ predictions with the limiting motion criteria for safe working conditions of ship (un) loading operations, helping us decide the best location for operation and when to stop operations more precisely, thus minimizing the economic impact of cargo ships unable to operate.This research was funded by the Spanish Ministry of Economy, Industry, and Competitiveness, R&D National Plan, within the project BIA2017-86738-R, the FPI predoctoral grant from the Spanish Ministry of Science, Innovation, and Universities (PRE2018-083777) and the Spanish Ministry of Science and Innovation, Retos Call, within the project PID2020-112794RB-I00

  • Field measurements of angular motions of a Vessel at berth : Inertial device application
    Romanian Soc Control Tech Informatics, 2018
    Co-Authors: Figuero Andrés, Rodriguez Alvaro, Sande Jose, Peña Enrique, Rabuñal, Juan R.
    Abstract:

    The study and characterization of the oscillations of a Moored Vessel has a major importance in port operational efficiency, not only in the design of mooring and anchoring systems, but also in order to prevent the movement of the cargo, minimize ship and dock damage and optimizing the operations which have to take place while the ship is Moored.The dynamic behavior of a Vessel Moored in waves has been mathematically described and interactions between ships and environmental loads such as waves, wind, currents and ice are commonly tested for different docks and mooring systems in scale models. However, field data studies of the behavior Moored ships have not been properly addressed so far.This paper proposes a novel application of Inertial Measurement Units to estimate the angular movements (roll, pitch and yaw) of a Moored Vessel. The proposed technique has been validated in laboratory conditions and the behavior of the ship Urania Mella in the Outer Port of Punta Langosteira (A Coruña, Spain), has been analyzed, obtaining very promising results