10th Conference on Computational Methods in Marine Engineering最新文献_第5页

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。

10th Conference on Computational Methods in Marine Engineering 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

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

10th Conference on Computational Methods in Marine Engineering 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

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.035

A. Soydan, W. Wang, H. Bihs

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.002

J. Gutiérrez-Romero, P. Romero-Tello, B. Servan, A. Lorente-Pérez

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.105

Lucas Legagneux, Maurits van den Boogaard, Benoit Mallol

{"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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.051

K. Marlantes, K. Maki, P. Bandyk

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.116

P. Dragone, A. Serani, M. Diez

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.001

J. Carmona, R. Atienza, J. Iribarren

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.069

M. Münsch, S. Saha, A. Altmann, A. Reichel, A. Weirschem

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

10th Conference on Computational Methods in Marine Engineering Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.026

J. Petiteau, S. Paboeuf, C. Brun, P. Pathak

引用次数: 0