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    N

    Naval Dockyards Society

    企业EST. 1997
    54论文总数
    424引用总数

    .

    论文量&引用量时间轴

    机构学者

    排序
    Paul Biemer
    Paul Biemer
    DSDS
    论文:6引用:0H-index:0
    Paul P. Biemer
    Paul P. Biemer
    RTI International;Odum Institute, University of North Carolina at Chapel Hill
    论文:5引用:0H-index:0
    Lauren Mccormack
    Lauren Mccormack
    RTI International
    论文:3引用:0H-index:0
    Carla M. Bann
    Carla M. Bann
    RTI International
    论文:3引用:0H-index:0
    Craig A. Hill
    Craig A. Hill
    University of Utah USA
    论文:2引用:0H-index:0
    L. J. E. Sawyer
    L. J. E. Sawyer
    Central Dockyard Laboratory, H.M. Dockyard
    论文:2引用:0H-index:0
    Trent Buskirk
    Trent Buskirk
    Saint Louis University School of Public Health
    论文:2引用:0H-index:0
    Karol J. Krotki
    Karol J. Krotki
    Department of Sociology, The University of Alberta
    论文:2引用:0H-index:0
    Ligia Botero
    Ligia Botero
    Ctr Invest Agua, Univ Zulia
    论文:2引用:0H-index:0

    论文(54)

    年份
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    1A Numerical Simulator for Aerodynamic Performance Prediction of Sailing Yachts Based on the Lattice Boltzmann Method
    Colton J. Conroy, Brian Cardarella

    We present a novel computer simulator designed to efficiently predict the velocity performance of sailing yachts. The simulator employs a state-of-the-art computational fluid dynamics (CFD) technique known as the lattice Boltzmann method (LBM) to analyze the yacht’s interactions with water and air, predicting its performance under various wind and sea conditions. Unlike traditional CFD software, which attempt to numerically solve the incompressible Navier-Stokes equations for macroscopic fluid velocity and pressure, LBM simulates fluid dynamics using a microscopic model with mesoscopic equations. The microscopic model consists of particles that stream and collide on a Cartesian lattice with discrete velocities. The mesoscopic equation, the discrete Boltzmann equation, tracks the statistical distribution of these particles’ velocities over time. Macroscopic fluid characteristics, such as density, velocity, and kinetic energy, are quantified by taking moments of the velocity distribution function. Aerodynamic forces exerted by wind on the sailing yacht are evaluated using the momentum exchange method (MEM), which sums the momentum changes of all particles colliding with the yacht’s boundary. The net force calculated by MEM provides the driving force on the yacht. LBM conserves mass both locally and globally. Its algorithm and data structure are highly compatible with GPUs, resulting in significant speedups compared to CPU run-times, often by several orders of magnitude. This allows our numerical simulator to capture complex flow dynamics such as large unsteadiness, vortex shedding, flow detachment and reattachment, as well as transitional flows in a similar manner to direct numerical simulations, but more efficiently.

    2025SNAME 25th Chesapeake Sailing Yacht Symposium(2025)
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    2Crescent University, Abeokuta Undergraduate 2022/2023 Admission Form/transfer Form is out ☎️<09166948950 > ☎️+2349166948950 Prof SARAH an Applicant for Admission to a Degree Programme in the University of Nigeria Must Have at Least Credits (A1 - C6 in WASSCE and A – D in SSSCE) in English, Core Mathematics and Integrated Science (for Science Related Programmes) or Social Studies (for Non-Science Related Programmes) and Three Elective Subjects in Science. for More Information Apply +…
    Dr Adeleke
    2022Zenodo (CERN European Organization for Nuclear Research)(2022)
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    3Big Data Meets Survey Science: A Collection of Innovative Methods
    Craig A. Hill,Paul P. Biemer,Trent D. Buskirk,Lilli Japec,Antje Kirchner,Stanislav Kolenikov,Lars Lyberg
    2020引用:8
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    4Opportunities for Intimate Partner Violence Disclosure in Adult-Serving Healthy Marriage and Relationship Education (HMRE) Programs (OPRE Report 2020-93)
    Anupa Bir,Martha Hernandez Martinez,Josephine V. Serrata,Kathleen Krieger,Justin Landwehr, Sue Edwards,Paul P. Biemer, Marcus Berzofsky, Julie Brinton,Marni Kan,Tasseli McKay
    2020引用:1
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    5Introduction to Big Data Meets Survey Science
    Craig A. Hill,Paul P. Biemer,Trent D. Buskirk,Lilli Japec,Antje Kirchner,Stanislav Kolenikov,Lars Lyberg
    2020
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    合作机构(17)

    Society for Science & the Public合作论文 5
    Energy to Power Solution (United States)合作论文 4
    École Supérieure de Psychologie合作论文 2
    苏利亚大学合作论文 2
    Proteogenomics Research Institute for Systems Medicine合作论文 2
    纽约大学合作论文 1
    Yakima Valley Community College合作论文 1
    委内瑞拉中央大学合作论文 1
    菲律宾中央银行合作论文 1
    鲍灵格林州立大学合作论文 1

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