Towards a Computational Fluid Dynamics implementation of the critical wave method

被引:7
|
作者
Silva, Kevin M. [1 ,2 ]
Maki, Kevin J. [2 ]
机构
[1] Naval Surface Warfare Ctr Carderock Div, 9500 MacArthur Blvd, West Bethesda, MD 20817 USA
[2] Univ Michigan, Dept Naval Architecture & Marine Engn, 2600 Draper Dr, Ann Arbor, MI 48109 USA
关键词
Computational Fluid Dynamics; Extreme events; Wave groups; Roll; Probability; Nonlinear dynamics;
D O I
10.1016/j.oceaneng.2021.109451
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The prediction of extreme ship responses continues to be an important and longstanding topic in ship hydrodynamics with a significant focus on developing probabilistic methods based on simple descriptions of the hydrodynamics that mainly provide qualitative observations. While simple nonlinear hydrodynamic for-mulations provide insight into extreme events, their underlying assumptions can prevent accurate quantitative representations of the mechanisms that are ultimately responsible for the extreme responses. Thus, research must strive to utilize increasingly more accurate hydrodynamic formulations to provide quantitative evaluations of extreme events. The present work aims to integrate extreme event probabilistic research based on the critical wave groups (CWG) method and fully nonlinear Computational Fluid Dynamics (CFD) to achieve a high fidelity representation of extreme events. This aim is achieved by embedding deterministic wave groups into irregular wave trains with known responses to produce different states at the moment of wave group encounter. The new framework is demonstrated by predicting the probability of exceedence of roll with a 2-D midship section of the Office of Naval Research Tumblehome hull in Sea State 7. The framework showcases how CFD and CWG can together reduce the computational burden of predicting extreme ship responses.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Implementation of the critical wave groups method with computational fluid dynamics and neural networks
    Silva, Kevin M.
    Maki, Kevin J.
    [J]. OCEAN ENGINEERING, 2024, 292
  • [2] PSEUDOSPECTRAL ELEMENT METHOD FOR COMPUTATIONAL FLUID-DYNAMICS AND ITS PARALLEL IMPLEMENTATION
    KU, HC
    ROSENBERG, AP
    [J]. JOHNS HOPKINS APL TECHNICAL DIGEST, 1991, 12 (03): : 234 - 245
  • [3] Towards computational fluid dynamics applications in brewing process
    Jagiello, Kacper
    Ludwig, Wojciech
    [J]. EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2024, 250 (02) : 361 - 373
  • [4] Towards computational fluid dynamics applications in brewing process
    Kacper Jagiełło
    Wojciech Ludwig
    [J]. European Food Research and Technology, 2024, 250 : 361 - 373
  • [5] COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF A WAVE ENERGY CONVERTER
    Bosneagu, R.
    Scurtu, I. C.
    Popa, A.
    Popov, P.
    Mihailov, M. E.
    Atodiresei, D.
    [J]. JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2022, 23 (04): : 1441 - 1448
  • [6] FPGA Implementation of Viscous function in a package for Computational Fluid Dynamics
    Mishra, Dipikarani
    Hatto, Mao
    Kuhara, Takuya
    Osana, Yasunori
    Fujita, Naoyuki
    Amano, Hideharu
    [J]. 2014 SECOND INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR), 2014, : 608 - 610
  • [7] Parallel implementation of computational fluid dynamics codes on emerging architectures
    Behr, M
    Briggs, P
    [J]. 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XIV, PROCEEDINGS: IMAGE, ACOUSTIC, SPEECH AND SIGNAL PROCESSING III, 2002, : 105 - 110
  • [8] Efficient GPU Implementation of Automatic Differentiation for Computational Fluid Dynamics
    Zubair, Mohammad
    Ranjan, Desh
    Walden, Aaron
    Nastac, Gabriel
    Nielsen, Eric
    Diskin, Boris
    Paterno, Marc
    Jung, Samuel
    Davis, Joshua Hoke
    [J]. 2023 IEEE 30TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS, HIPC 2023, 2023, : 377 - 386
  • [9] Computational fluid dynamics analysis on the critical behavior of reactive chemicals
    Liu, Lijun
    Guo, Yuyan
    Rogers, William J.
    Mannan, M. Sam
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2009, 22 (02) : 187 - 196
  • [10] Applications of computational fluid dynamics to a wave energy conversion device
    Watterson, JK
    Gillan, MA
    Raghunathan, S
    Mitchell, RD
    [J]. IECEC-97 - PROCEEDINGS OF THE THIRTY-SECOND INTERSOCIETY ENERGY CONVERSION ENGINEERING CONFERENCE, VOLS 1-4: VOL.1: AEROSPACE POWER SYSTEMS AND TECHNOL; VOL 2: ELECTROCHEMICAL TECHNOL, CONVERSION TECHNOL, THERMAL MANAGEMENT; VOLS 3: ENERGY SYSTEMS, RENEWABLE ENERGY RESOURCES, ENVIRONMENTAL IMPACT, POLICY IMPACTS ON ENERGY; VOL 4: POST DEADLINE PAPERS, INDEX, 1997, : 1976 - 1981