Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis
Ship resistance has a very important value in the determination of ship power and the design of emission standards. In this paper, a ship resistance model with different displacement, speed, and attachment under the condition of a fixed scale ratio is tested by means of experimental research, which...
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MDPI AG
2023-12-01
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Online Access: | https://www.mdpi.com/2076-3417/13/24/13073 |
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author | Xinying Zhao Na Li Bin Zhang Xiaolei Liu |
author_facet | Xinying Zhao Na Li Bin Zhang Xiaolei Liu |
author_sort | Xinying Zhao |
collection | DOAJ |
description | Ship resistance has a very important value in the determination of ship power and the design of emission standards. In this paper, a ship resistance model with different displacement, speed, and attachment under the condition of a fixed scale ratio is tested by means of experimental research, which is used to analyze the change law of ship resistance under the condition of a single factor. The coupling effects of multiple factors on the actual ship power are studied after the establishment of a mathematical relationship between the actual ship power and resistance on the basis of the response surface method. The research results show that: (1) there is an obvious positive correlation between ship resistance and speed, which matches the change law of the exponential equation. Compared with ship appendages, displacement and speed have the greatest influence on resistance. (2) According to the correlation analysis, the maximum correlation coefficient between ship speed/resistance and power is 0.99, and the correlation coefficients between displacement/resistance and power are 0.93 and 0.88, respectively. However, the correlation coefficients between ship appendages and resistance and power are only 0.23 and 0.14, respectively. (3) The actual ship power and speed, displacement, and appendages form a quadratic polynomial relationship. The multi-factor interaction analysis results show that speed and displacement have the greatest influence on the actual ship power. The research results have a certain guiding significance for ship design. |
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language | English |
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spelling | doaj.art-5f2ddf0be87f45478b083edb1f49189f2023-12-22T13:50:58ZengMDPI AGApplied Sciences2076-34172023-12-0113241307310.3390/app132413073Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data AnalysisXinying Zhao0Na Li1Bin Zhang2Xiaolei Liu3Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200092, ChinaFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200092, ChinaFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200092, ChinaCollege of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, ChinaShip resistance has a very important value in the determination of ship power and the design of emission standards. In this paper, a ship resistance model with different displacement, speed, and attachment under the condition of a fixed scale ratio is tested by means of experimental research, which is used to analyze the change law of ship resistance under the condition of a single factor. The coupling effects of multiple factors on the actual ship power are studied after the establishment of a mathematical relationship between the actual ship power and resistance on the basis of the response surface method. The research results show that: (1) there is an obvious positive correlation between ship resistance and speed, which matches the change law of the exponential equation. Compared with ship appendages, displacement and speed have the greatest influence on resistance. (2) According to the correlation analysis, the maximum correlation coefficient between ship speed/resistance and power is 0.99, and the correlation coefficients between displacement/resistance and power are 0.93 and 0.88, respectively. However, the correlation coefficients between ship appendages and resistance and power are only 0.23 and 0.14, respectively. (3) The actual ship power and speed, displacement, and appendages form a quadratic polynomial relationship. The multi-factor interaction analysis results show that speed and displacement have the greatest influence on the actual ship power. The research results have a certain guiding significance for ship design.https://www.mdpi.com/2076-3417/13/24/13073ship resistancespeeddisplacement and appendagesresponse surfacequadratic multinomial |
spellingShingle | Xinying Zhao Na Li Bin Zhang Xiaolei Liu Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis Applied Sciences ship resistance speed displacement and appendages response surface quadratic multinomial |
title | Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis |
title_full | Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis |
title_fullStr | Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis |
title_full_unstemmed | Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis |
title_short | Comparative Study Assessing the Relative Contributions of Ship Resistance Factors Based on Data Analysis |
title_sort | comparative study assessing the relative contributions of ship resistance factors based on data analysis |
topic | ship resistance speed displacement and appendages response surface quadratic multinomial |
url | https://www.mdpi.com/2076-3417/13/24/13073 |
work_keys_str_mv | AT xinyingzhao comparativestudyassessingtherelativecontributionsofshipresistancefactorsbasedondataanalysis AT nali comparativestudyassessingtherelativecontributionsofshipresistancefactorsbasedondataanalysis AT binzhang comparativestudyassessingtherelativecontributionsofshipresistancefactorsbasedondataanalysis AT xiaoleiliu comparativestudyassessingtherelativecontributionsofshipresistancefactorsbasedondataanalysis |