首页 > 最新文献

10th Conference on Computational Methods in Marine Engineering最新文献

英文 中文
Improved methodology for estimating the drag penalty due to hull roughness: Part I current challenges, roadblocks and proposed solutions. 改进的船体粗糙度阻力损失估算方法:第一部分当前的挑战、障碍和建议的解决方案。
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.081
N. Hutchins, J. Monty, J. Will, I. Aliman, B. Nugroho, I. Utama, I. Suastika, H. Henriyadi, T. Mulia
{"title":"Improved methodology for estimating the drag penalty due to hull roughness: Part I current challenges, roadblocks and proposed solutions.","authors":"N. Hutchins, J. Monty, J. Will, I. Aliman, B. Nugroho, I. Utama, I. Suastika, H. Henriyadi, T. Mulia","doi":"10.23967/marine.2023.081","DOIUrl":"https://doi.org/10.23967/marine.2023.081","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116519423","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}
引用次数: 0
Optimization of 3D Hydrofoil Using a Cavitating Lifting Line Method 利用空化提升线法优化三维水翼
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.106
L. Dipilato, C. Ramirz, B. Pineiro-Aramburu, R. Lanos, T. Gaudiot, G. Lombardi, M. Farnesi
Cavitation is a complex phenomenon that inevitably takes place in high-speed foiling. As such, designing a hydrofoil specifically for supercavitation is mandatory when striving for high speeds, but doing so with common engineering tools is slow and inefficient. To achieve the World Sailing Speed Record, Syroco and Cubit had to research more advanced and faster tools to design the most efficient foil for the sailboat that will be used for the world record. Said tools were developed over a long collaborative research, during which many different approaches to simulate supercavitating hydrofoils with Finite Volume Methods (FVM) have been tested, leading to an innovative optimization procedure to find the best 2D section with a compromise between hydrodynamic and structural properties. Performing a 3D optimization using FVM was quickly
空化现象是高速箔化过程中不可避免的复杂现象。因此,当追求高速时,设计一个专门针对超空泡的水翼是必须的,但用普通的工程工具这样做是缓慢而低效的。为了打破世界航行速度纪录,Syroco和Cubit必须研究更先进、更快的工具,为帆船设计最有效的箔片,用于打破世界纪录。上述工具是在长期的合作研究中开发出来的,在此期间,使用有限体积方法(FVM)测试了许多不同的方法来模拟超空泡水翼,从而产生了一种创新的优化程序,可以在水动力和结构特性之间找到最佳的2D截面。使用FVM执行3D优化非常迅速
{"title":"Optimization of 3D Hydrofoil Using a Cavitating Lifting Line Method","authors":"L. Dipilato, C. Ramirz, B. Pineiro-Aramburu, R. Lanos, T. Gaudiot, G. Lombardi, M. Farnesi","doi":"10.23967/marine.2023.106","DOIUrl":"https://doi.org/10.23967/marine.2023.106","url":null,"abstract":"Cavitation is a complex phenomenon that inevitably takes place in high-speed foiling. As such, designing a hydrofoil specifically for supercavitation is mandatory when striving for high speeds, but doing so with common engineering tools is slow and inefficient. To achieve the World Sailing Speed Record, Syroco and Cubit had to research more advanced and faster tools to design the most efficient foil for the sailboat that will be used for the world record. Said tools were developed over a long collaborative research, during which many different approaches to simulate supercavitating hydrofoils with Finite Volume Methods (FVM) have been tested, leading to an innovative optimization procedure to find the best 2D section with a compromise between hydrodynamic and structural properties. Performing a 3D optimization using FVM was quickly","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126591422","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}
引用次数: 0
An Improved Direct Forcing Immersed Boundary Method for Simulating Floating Objects 一种改进的直接强迫浸入边界法模拟漂浮物
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.035
A. Soydan, W. Wang, H. Bihs
{"title":"An Improved Direct Forcing Immersed Boundary Method for Simulating Floating Objects","authors":"A. Soydan, W. Wang, H. Bihs","doi":"10.23967/marine.2023.035","DOIUrl":"https://doi.org/10.23967/marine.2023.035","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127110090","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}
引用次数: 0
Parametric roll prediction based on Machine Learning strategies 基于机器学习策略的参数滚动预测
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.002
J. Gutiérrez-Romero, P. Romero-Tello, B. Servan, A. Lorente-Pérez
{"title":"Parametric roll prediction based on Machine Learning strategies","authors":"J. Gutiérrez-Romero, P. Romero-Tello, B. Servan, A. Lorente-Pérez","doi":"10.23967/marine.2023.002","DOIUrl":"https://doi.org/10.23967/marine.2023.002","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126804001","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}
引用次数: 0
Improved accuracy in cavitating flows using adaptive grid refinement 使用自适应网格细化提高了空化流的精度
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.105
Lucas Legagneux, Maurits van den Boogaard, Benoit Mallol
The high lift required to raise foiling vessels above water is generated by increasing the flow velocity, thus decreasing the static pressure. If the saturation point is reached, cavitation begins to appear with the formation of vapor. Depending on the pressure drop, cyclic detachments of the vapor cavities from the surface can be observed. This phenomenon is referred to as shedding and is critical to the performance of a hydrofoil on fast vessels. Characterizing these cavitation dynamics is essential for the design, but modeling this highly turbulent, dynamic, and unstable two-phase flow is a challenge. On top of the complexity of the non-cavitating flow, there is the need to properly capture low pressure regions and vapor cavities. This typically requires a very fine mesh with small cells in a large volume to make sure the discretization is high enough to capture vapor cavities during the entire cycle. Additionally, the use of computationally heavy models such as (I)(D)DES and LES is increasingly common in the literature to study complex cavitation cases. Present work studies the use of Adaptive Grid Refinement (AGR) in Fine™ Marine on RANS simulations, to reduce the computational cost while increasing the precision. The automatic high-frequency mesh adaptation ensures an optimum number of cells at any given time, with the right refinement at any given location. It is achieved by using an interface-capturing criterion (between water and vapor) combined with the Hessians of both pressure and velocity. The previously successful application of this method on steady-state cases like ship resistance [1] and on the unsteadiness present in foil ventilation [2] paved the way for the application to cavitation. To validate the quality of the results, simulations have been performed on the well-known Delft Twist 11 test case and compared with two campaigns of tunnel testing carried out by Bouziad [3] and Foeth [4], as well as computational results from literature. Excellent agreement is obtained with the dynamics observed in
通过增加流速,从而降低静压,可以产生将箔片容器提升到水面以上所需的高升力。当达到饱和点时,随着蒸汽的形成,开始出现空化现象。根据压降,可以观察到汽腔与表面的循环分离。这种现象被称为脱落,对快速船只上的水翼的性能至关重要。表征这些空化动力学对设计至关重要,但对这种高度湍流、动态和不稳定的两相流进行建模是一项挑战。在非空化流动的复杂性之上,需要适当地捕获低压区域和蒸汽腔。这通常需要一个非常精细的网格,其中包含大体积的小细胞,以确保离散度足够高,以便在整个循环过程中捕获蒸汽腔。此外,使用(I)(D)DES和LES等计算量大的模型来研究复杂的空化案例在文献中越来越普遍。目前的工作是研究在RANS仿真中使用Fine™Marine中的自适应网格细化(AGR),以降低计算成本,同时提高精度。自动高频网格适应确保在任何给定时间的最佳数量的细胞,在任何给定位置的正确细化。它是通过使用界面捕获准则(在水和蒸汽之间)结合压力和速度的Hessians来实现的。该方法先前成功应用于船舶阻力等稳态情况[1]和箔片通风中存在的非定常情况[2],为应用于空化铺平了道路。为了验证结果的质量,我们对著名的Delft Twist 11试验用例进行了模拟,并与Bouziad[3]和Foeth[4]进行的两次隧道试验以及文献中的计算结果进行了比较。文中所观察到的动力学结果与实验结果非常吻合
{"title":"Improved accuracy in cavitating flows using adaptive grid refinement","authors":"Lucas Legagneux, Maurits van den Boogaard, Benoit Mallol","doi":"10.23967/marine.2023.105","DOIUrl":"https://doi.org/10.23967/marine.2023.105","url":null,"abstract":"The high lift required to raise foiling vessels above water is generated by increasing the flow velocity, thus decreasing the static pressure. If the saturation point is reached, cavitation begins to appear with the formation of vapor. Depending on the pressure drop, cyclic detachments of the vapor cavities from the surface can be observed. This phenomenon is referred to as shedding and is critical to the performance of a hydrofoil on fast vessels. Characterizing these cavitation dynamics is essential for the design, but modeling this highly turbulent, dynamic, and unstable two-phase flow is a challenge. On top of the complexity of the non-cavitating flow, there is the need to properly capture low pressure regions and vapor cavities. This typically requires a very fine mesh with small cells in a large volume to make sure the discretization is high enough to capture vapor cavities during the entire cycle. Additionally, the use of computationally heavy models such as (I)(D)DES and LES is increasingly common in the literature to study complex cavitation cases. Present work studies the use of Adaptive Grid Refinement (AGR) in Fine™ Marine on RANS simulations, to reduce the computational cost while increasing the precision. The automatic high-frequency mesh adaptation ensures an optimum number of cells at any given time, with the right refinement at any given location. It is achieved by using an interface-capturing criterion (between water and vapor) combined with the Hessians of both pressure and velocity. The previously successful application of this method on steady-state cases like ship resistance [1] and on the unsteadiness present in foil ventilation [2] paved the way for the application to cavitation. To validate the quality of the results, simulations have been performed on the well-known Delft Twist 11 test case and compared with two campaigns of tunnel testing carried out by Bouziad [3] and Foeth [4], as well as computational results from literature. Excellent agreement is obtained with the dynamics observed in","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127702477","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}
引用次数: 0
Investigating Nonlinear Forces in Ship Dynamics using Machine Learning 用机器学习研究船舶动力学中的非线性力
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.051
K. Marlantes, K. Maki, P. Bandyk
{"title":"Investigating Nonlinear Forces in Ship Dynamics using Machine Learning","authors":"K. Marlantes, K. Maki, P. Bandyk","doi":"10.23967/marine.2023.051","DOIUrl":"https://doi.org/10.23967/marine.2023.051","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114932097","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}
引用次数: 1
Dynamic Mode Decomposition with Time-Delaying Embedding for Time-Series Forecasting of Ships Operating in Waves 基于时滞嵌入的动态模态分解在波浪中运行船舶时间序列预测
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.116
P. Dragone, A. Serani, M. Diez
{"title":"Dynamic Mode Decomposition with Time-Delaying Embedding for Time-Series Forecasting of Ships Operating in Waves","authors":"P. Dragone, A. Serani, M. Diez","doi":"10.23967/marine.2023.116","DOIUrl":"https://doi.org/10.23967/marine.2023.116","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491716","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}
引用次数: 0
Development of a demonstrator for predicting the operation of unmanned vehicles on naval platforms 用于预测海军平台上无人驾驶车辆操作的演示器的开发
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.001
J. Carmona, R. Atienza, J. Iribarren
{"title":"Development of a demonstrator for predicting the operation of unmanned vehicles on naval platforms","authors":"J. Carmona, R. Atienza, J. Iribarren","doi":"10.23967/marine.2023.001","DOIUrl":"https://doi.org/10.23967/marine.2023.001","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709684","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}
引用次数: 0
On the Numerical Simulation of Particle Flows within a Deep-Sea Mining Application 深海采矿中颗粒流动的数值模拟研究
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.069
M. Münsch, S. Saha, A. Altmann, A. Reichel, A. Weirschem
{"title":"On the Numerical Simulation of Particle Flows within a Deep-Sea Mining Application","authors":"M. Münsch, S. Saha, A. Altmann, A. Reichel, A. Weirschem","doi":"10.23967/marine.2023.069","DOIUrl":"https://doi.org/10.23967/marine.2023.069","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132040064","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}
引用次数: 0
Methodology for the design review of composite parts of floating offshore platforms 海上浮式平台复合构件设计评审方法
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.026
J. Petiteau, S. Paboeuf, C. Brun, P. Pathak
{"title":"Methodology for the design review of composite parts of floating offshore platforms","authors":"J. Petiteau, S. Paboeuf, C. Brun, P. Pathak","doi":"10.23967/marine.2023.026","DOIUrl":"https://doi.org/10.23967/marine.2023.026","url":null,"abstract":"","PeriodicalId":198279,"journal":{"name":"10th Conference on Computational Methods in Marine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123950773","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}
引用次数: 0
期刊
10th Conference on Computational Methods in Marine Engineering
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1