Pub Date : 2024-02-08DOI: 10.1080/09377255.2024.2305540
Stefan Harries, Osama Ahmed, S. Uharek
{"title":"Simulation-driven design of a fast monohull","authors":"Stefan Harries, Osama Ahmed, S. Uharek","doi":"10.1080/09377255.2024.2305540","DOIUrl":"https://doi.org/10.1080/09377255.2024.2305540","url":null,"abstract":"","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139852731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-08DOI: 10.1080/09377255.2024.2305540
Stefan Harries, Osama Ahmed, S. Uharek
{"title":"Simulation-driven design of a fast monohull","authors":"Stefan Harries, Osama Ahmed, S. Uharek","doi":"10.1080/09377255.2024.2305540","DOIUrl":"https://doi.org/10.1080/09377255.2024.2305540","url":null,"abstract":"","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139793001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-19DOI: 10.1080/09377255.2023.2291240
Chris Rorres
{"title":"The righting arm in Archimedes’\u0000 On Floating Bodies","authors":"Chris Rorres","doi":"10.1080/09377255.2023.2291240","DOIUrl":"https://doi.org/10.1080/09377255.2023.2291240","url":null,"abstract":"","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.1080/09377255.2023.2296740
Md. Kareem Khan, M. Korulla, Vishwanath Nagarajan, O. P. Sha
{"title":"Measurements of steady manoeuvring forces and moments over an axisymmetric body with appendages in a wind tunnel","authors":"Md. Kareem Khan, M. Korulla, Vishwanath Nagarajan, O. P. Sha","doi":"10.1080/09377255.2023.2296740","DOIUrl":"https://doi.org/10.1080/09377255.2023.2296740","url":null,"abstract":"","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139149552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-10DOI: 10.1080/09377255.2023.2275372
G. Delefortrie, J. Verwilligen, C. Kochanowski, J. A. Pinkster, Z. M. Yuan, Y. H. Liu, M. Kastens, W. Van Hoydonck, H. J. M. Pinkster, E. Lataire
ABSTRACTA collaborative exercise is presented where different numerical methods were used to recreate the forces acting on a ship model while executing captive model tests along a channel which has an unsteady cross section (dock opening). Such a layout is typical for a harbour environment. The unsteady nature of the cross section leads to peak values in forces, sinkage and free surface deformations. Experimental tests were conducted by Flanders Hydraulics (with the co-operation of Ghent University). Numerical contributions involve three potential flow methods (Strathclyde University and Pinkster Marine Hydrodynamics) and one RANS method (Federal Waterways Engineering and Research Institute of Germany). All methods are capable of qualitatively predicting the water level variations and sinkage and trim of the vessel. RANS has a better capability of predicting the unsteady sway force and yaw moment acting on the ship including sinkage and trim, but it comes at a much higher computational cost.KEYWORDS: Unsteadyharbourbenchmarkhydrodynamicspotential flowRANSEFDship-bank Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Unsteady ship–bank interaction: a comparison between experimental and computational predictions","authors":"G. Delefortrie, J. Verwilligen, C. Kochanowski, J. A. Pinkster, Z. M. Yuan, Y. H. Liu, M. Kastens, W. Van Hoydonck, H. J. M. Pinkster, E. Lataire","doi":"10.1080/09377255.2023.2275372","DOIUrl":"https://doi.org/10.1080/09377255.2023.2275372","url":null,"abstract":"ABSTRACTA collaborative exercise is presented where different numerical methods were used to recreate the forces acting on a ship model while executing captive model tests along a channel which has an unsteady cross section (dock opening). Such a layout is typical for a harbour environment. The unsteady nature of the cross section leads to peak values in forces, sinkage and free surface deformations. Experimental tests were conducted by Flanders Hydraulics (with the co-operation of Ghent University). Numerical contributions involve three potential flow methods (Strathclyde University and Pinkster Marine Hydrodynamics) and one RANS method (Federal Waterways Engineering and Research Institute of Germany). All methods are capable of qualitatively predicting the water level variations and sinkage and trim of the vessel. RANS has a better capability of predicting the unsteady sway force and yaw moment acting on the ship including sinkage and trim, but it comes at a much higher computational cost.KEYWORDS: Unsteadyharbourbenchmarkhydrodynamicspotential flowRANSEFDship-bank Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135136267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1080/09377255.2023.2275373
Matthias Fromm, Tobias Bestier, Sören Brüns, Jörn Kröger, Florian Kluwe, Alexander Hylla, Farhan Matin, Avraham “Avi” Seifert, Sven Grundmann
ABSTRACTThe improvement of the performance and efficiency of hydrodynamic control surfaces such as ship rudders is a long sought goal, given economic considerations and the ecological impact of the shipping sector. One major problem limiting the performance of rudders is flow separation at high deflection angles. In this paper, we address this problem using active flow control, a technique first proposed in aerodynamics. A small scale and a large-scale rudder model with realistic geometry were manufactured and equipped with an active flow control system employing the method of pulsed blowing. The actuation system was extensively characterized. Towing tank experiments were conducted up to a Reynolds number of 1.33×106. Data included force measurements for the large-scale model and flow field and force measurements for the small-scale model. The impact of the active control on the flow fields around the small-scale model was characterized. The delay of the flow separation towards a higher angle of attack, accompanied with an increase of the maximum lift forces, was demonstrated for both models.KEYWORDS: Active flow controlship rudderseparation controlfluidic oscillatortowing tankparticle image velocimetry AcknowledgmentsWe express our thanks to Johannes Will for fruitful discussions on the particulars of rudder design.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis project was supported by the German Federal Ministry of Economic Affairs and Climate Action [grant number 03SX496E].
{"title":"Active flow control applied to a ship rudder model","authors":"Matthias Fromm, Tobias Bestier, Sören Brüns, Jörn Kröger, Florian Kluwe, Alexander Hylla, Farhan Matin, Avraham “Avi” Seifert, Sven Grundmann","doi":"10.1080/09377255.2023.2275373","DOIUrl":"https://doi.org/10.1080/09377255.2023.2275373","url":null,"abstract":"ABSTRACTThe improvement of the performance and efficiency of hydrodynamic control surfaces such as ship rudders is a long sought goal, given economic considerations and the ecological impact of the shipping sector. One major problem limiting the performance of rudders is flow separation at high deflection angles. In this paper, we address this problem using active flow control, a technique first proposed in aerodynamics. A small scale and a large-scale rudder model with realistic geometry were manufactured and equipped with an active flow control system employing the method of pulsed blowing. The actuation system was extensively characterized. Towing tank experiments were conducted up to a Reynolds number of 1.33×106. Data included force measurements for the large-scale model and flow field and force measurements for the small-scale model. The impact of the active control on the flow fields around the small-scale model was characterized. The delay of the flow separation towards a higher angle of attack, accompanied with an increase of the maximum lift forces, was demonstrated for both models.KEYWORDS: Active flow controlship rudderseparation controlfluidic oscillatortowing tankparticle image velocimetry AcknowledgmentsWe express our thanks to Johannes Will for fruitful discussions on the particulars of rudder design.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis project was supported by the German Federal Ministry of Economic Affairs and Climate Action [grant number 03SX496E].","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1080/09377255.2023.2275378
Ehsan Esmailian, Young-Rong Kim, Sverre Steen, Kourosh Koushan
To increase energy efficiency and reduce greenhouse gas (GHG) emissions in the shipping industry, an accurate prediction of the ship performance at sea is crucial. This paper proposes a new power prediction method based on minimizing a normalized root mean square error (NRMSE) defined by comparing the results of the power prediction model with the ship in-service data for a given vessel. The result is a power prediction model tuned to fit the ship for which in-service data was applied. A general cargo ship is used as a test case. The performance of the proposed approach is evaluated in different scenarios with the artificial neural network (ANN) method and the traditional power prediction models. In all studied scenarios, the proposed method shows better performance in predicting ship power. Up to 86% percentage difference between the NRMSEs of the best and worst power prediction models is also reported.
{"title":"A new power prediction method using ship in-service data: a case study on a general cargo ship","authors":"Ehsan Esmailian, Young-Rong Kim, Sverre Steen, Kourosh Koushan","doi":"10.1080/09377255.2023.2275378","DOIUrl":"https://doi.org/10.1080/09377255.2023.2275378","url":null,"abstract":"To increase energy efficiency and reduce greenhouse gas (GHG) emissions in the shipping industry, an accurate prediction of the ship performance at sea is crucial. This paper proposes a new power prediction method based on minimizing a normalized root mean square error (NRMSE) defined by comparing the results of the power prediction model with the ship in-service data for a given vessel. The result is a power prediction model tuned to fit the ship for which in-service data was applied. A general cargo ship is used as a test case. The performance of the proposed approach is evaluated in different scenarios with the artificial neural network (ANN) method and the traditional power prediction models. In all studied scenarios, the proposed method shows better performance in predicting ship power. Up to 86% percentage difference between the NRMSEs of the best and worst power prediction models is also reported.","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1080/09377255.2023.2271710
Volker Bertram, Justus Heimann, Karsten Hochkirch
ABSTRACTThe paper surveys the development of practical ship hull optimization over more than five decades and trends to extrapolate to (likely) future applications. The paper looks at individual elements of hull optimization, such as geometric model, hydrodynamic model, optimization algorithms, and objective functions (and constraints). For all elements, the discussion includes further room for improvement or further R&D efforts.KEYWORDS: OptimizationCFDparametric modellingcontainer carrieroperational profileFuel consumptionCO2 reductionCost reduction AcknowledgementsIn writing this paper, we drew on the expertise and insights of many colleagues who have contributed over the years much to our knowledge of the field of practical hull optimization. We acknowledge gratefully Adrian Biran, Emilio F. Campana, Matteo Diez, Thomas Hildebrandt, Stefan Harries, Daniele Peri, and Auke van der Ploeg and of course Horst Nowacki.Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要本文回顾了50多年来实际船舶船体优化的发展，并展望了未来应用的趋势。本文着眼于船体优化的各个要素，如几何模型、水动力模型、优化算法和目标函数(和约束)。对于所有元素，讨论包括进一步改进的空间或进一步的研发努力。关键词:优化cfd参数化建模集装箱船运行概况燃料消耗二氧化碳减排成本降低在撰写本文时，我们借鉴了许多同事的专业知识和见解，他们多年来为我们在实际船体优化领域的知识做出了很大贡献。我们感谢Adrian Biran, Emilio F. Campana, Matteo Diez, Thomas Hildebrandt, Stefan Harries, Daniele Peri, Auke van der Ploeg，当然还有Horst Nowacki。披露声明作者未报告潜在的利益冲突。
{"title":"Ship hull optimization – past, present, prospects","authors":"Volker Bertram, Justus Heimann, Karsten Hochkirch","doi":"10.1080/09377255.2023.2271710","DOIUrl":"https://doi.org/10.1080/09377255.2023.2271710","url":null,"abstract":"ABSTRACTThe paper surveys the development of practical ship hull optimization over more than five decades and trends to extrapolate to (likely) future applications. The paper looks at individual elements of hull optimization, such as geometric model, hydrodynamic model, optimization algorithms, and objective functions (and constraints). For all elements, the discussion includes further room for improvement or further R&D efforts.KEYWORDS: OptimizationCFDparametric modellingcontainer carrieroperational profileFuel consumptionCO2 reductionCost reduction AcknowledgementsIn writing this paper, we drew on the expertise and insights of many colleagues who have contributed over the years much to our knowledge of the field of practical hull optimization. We acknowledge gratefully Adrian Biran, Emilio F. Campana, Matteo Diez, Thomas Hildebrandt, Stefan Harries, Daniele Peri, and Auke van der Ploeg and of course Horst Nowacki.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":51883,"journal":{"name":"Ship Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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