Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network
In this paper, an artificial neural network was used to predict the added resistance coefficient for container ships in regular head waves for various speeds. The data used for training the neural network were gathered based on performed numerical calculations using the Boundary Integral Element Met...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/7/1293 |
| _version_ | 1797588766364270592 |
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| author | Ivana Martić Nastia Degiuli Carlo Giorgio Grlj |
| author_facet | Ivana Martić Nastia Degiuli Carlo Giorgio Grlj |
| author_sort | Ivana Martić |
| collection | DOAJ |
| description | In this paper, an artificial neural network was used to predict the added resistance coefficient for container ships in regular head waves for various speeds. The data used for training the neural network were gathered based on performed numerical calculations using the Boundary Integral Element Method for various hull forms of container ships. The numerically obtained results were validated against the available experimental data for three benchmark container ships. The data were divided into three classes based on the ship length, and the expressions for the prediction of the added resistance coefficient for each container ship class were provided. The performance and generalization properties of the neural network were evaluated based on the normalized value of the root mean square error. The model enables reliable prediction of the added resistance coefficient within the preliminary design stage of a ship based on the ship characteristics and speed. |
| first_indexed | 2024-03-11T00:56:42Z |
| format | Article |
| id | doaj.art-64a413546a7749f69081375945db3f42 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T00:56:42Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-64a413546a7749f69081375945db3f422023-11-18T19:58:05ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-06-01117129310.3390/jmse11071293Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural NetworkIvana Martić0Nastia Degiuli1Carlo Giorgio Grlj2Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, CroatiaFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, CroatiaIn this paper, an artificial neural network was used to predict the added resistance coefficient for container ships in regular head waves for various speeds. The data used for training the neural network were gathered based on performed numerical calculations using the Boundary Integral Element Method for various hull forms of container ships. The numerically obtained results were validated against the available experimental data for three benchmark container ships. The data were divided into three classes based on the ship length, and the expressions for the prediction of the added resistance coefficient for each container ship class were provided. The performance and generalization properties of the neural network were evaluated based on the normalized value of the root mean square error. The model enables reliable prediction of the added resistance coefficient within the preliminary design stage of a ship based on the ship characteristics and speed.https://www.mdpi.com/2077-1312/11/7/1293added resistance in wavesartificial neural networkcontainer shippotential flow theoryregular head waves |
| spellingShingle | Ivana Martić Nastia Degiuli Carlo Giorgio Grlj Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network Journal of Marine Science and Engineering added resistance in waves artificial neural network container ship potential flow theory regular head waves |
| title | Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network |
| title_full | Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network |
| title_fullStr | Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network |
| title_full_unstemmed | Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network |
| title_short | Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network |
| title_sort | prediction of added resistance of container ships in regular head waves using an artificial neural network |
| topic | added resistance in waves artificial neural network container ship potential flow theory regular head waves |
| url | https://www.mdpi.com/2077-1312/11/7/1293 |
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