Dynamic Environment Prediction: safe launch and recovery in high sea states: Part of The Launch and Recovery Co-Creation Initiative.

动态环境预测:公海状态下的安全发射和回收:发射和回收共同创造计划的一部分。

基本信息

  • 批准号:
    EP/N009142/1
  • 负责人:
  • 金额:
    $ 73.57万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2016
  • 资助国家:
    英国
  • 起止时间:
    2016 至 无数据
  • 项目状态:
    已结题

项目摘要

This project is one of the small number of proposals selected by an industrial consortium in collaboration with EPSRC to go forward as full proposals to the EPSRC Launch and Recovery Co-Creation Initiative. It involves a collaboration between Exeter and Southampton Universities, Scripps Institution of Oceanography (USA), BAE Systems, MOD and OCEANWAVES (Germany). It is supported by a mentoring/dissemination group comprising: BAE Systems, MOD, SEA Ltd, Zenotech and ESI Group. The practical driver is to enable a wide range of wave limited maritime operations to be carried out safely at higher sea states than is presently feasible. Particularly important examples are launch and recovery operations from mother ships of small boats, manned and unmanned air vehicles, and submersibles. The research concerns the two coupled areas of: (a) predicting the actual shape of sea waves, termed Deterministic Sea Wave Prediction and the application of this to predicting calmer periods in otherwise large seas (Quiescent Period Prediction), and (b) a comprehensive investigation of the properties of such quiescent periods and the creation of a quiescence simulator. The research involves an integrated combination of challenging fundamental new theory, simulation, large scale data analysis and experimental testing. An applications oversight, designed to facilitate post project the optimum push through to higher technology readiness levels, is provided by the industrial mentoring panel. MOD and BAE Systems are also research partners. The research will provide the predicted wave environment information required by closely allied projects within this EPSRC Launch and Recovery Co-Creation Initiative which are aimed at (a) modelling the motion of small craft in the near wave/flow field of a parent vessel and (b) control of launch and recovery operations. An alternative application of the new science is in the optimal control of wave energy converters where large increases in performance per unit cost are possible (see the impact case).
该项目是一个工业财团与EPSRC合作选择的少数提案之一,作为EPSRC发射和恢复共同创造倡议的完整提案。它涉及埃克塞特大学和南安普顿大学、斯克里普斯海洋学研究所(美国)、BAE系统公司、国防部和OCEANWAVES(德国)之间的合作。它得到了一个指导/传播小组的支持,该小组包括:BAE系统公司、国防部、SEA有限公司、Zenotech和ESI集团。实际的驱动程序是使大范围的波浪有限的海上作业能够在比目前可行的更高的海况下安全地进行。特别重要的例子是从小型船只、有人驾驶和无人驾驶航空器和潜水器的母船上进行发射和回收作业。该研究涉及两个耦合领域:(a)预测海浪的实际形状,称为确定性海浪预测和应用,以预测平静期,否则大的海洋(静止期预测),和(B)的全面调查,这种静止期的属性和创建一个静止模拟器。该研究涉及具有挑战性的基础新理论,模拟,大规模数据分析和实验测试的综合结合。工业指导小组提供应用程序监督,旨在促进项目后最佳推进到更高的技术准备水平。国防部和BAE系统公司也是研究伙伴。该研究将提供EPSRC发射和回收共同创造计划中密切相关项目所需的预测波浪环境信息,其目的是(a)模拟小型船舶在母船附近波浪/流场中的运动,以及(B)控制发射和回收操作。新科学的另一种应用是波浪能转换器的最佳控制,其中每单位成本的性能有可能大幅增加(见影响案例)。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Obtaining the distribution of quiescent periods directly from the power spectral densities of Sea waves
直接从海浪的功率谱密度获得静止周期的分布
  • DOI:
    10.1016/j.apor.2019.01.027
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Belmont M
  • 通讯作者:
    Belmont M
DETERMINISTIC SEA WAVES PREDICTION FROM X-BAND RADAR: NEW ALGORITHM AND SEA TRIAL
X 波段雷达的确定性海浪预测:新算法和海上试验
Deterministic Sea Waves Prediction Using Mixed Space-Time Wave Radar Data
使用混合时空波雷达数据进行确定性海浪预测
Spectral Algorithm in Waves Profiling and Prediction From Radar Backscatter
雷达后向散射波分析和预测中的频谱算法
Wave shadowing effects on phase resolved wave spectra estimated from RADAR backscatter: Part 1: An investigation of the errors due to wave shadowing in the spectral averaging approach
波阴影对从雷达反向散射估计的相分辨波谱的影响:第 1 部分:对谱平均方法中波阴影造成的误差的研究
  • DOI:
    10.1016/j.oceaneng.2022.113409
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Belmont M
  • 通讯作者:
    Belmont M
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Michael Belmont其他文献

Osteonecrosis is associated with APOL1 variants in African Americans with systemic lupus erythematosus
患有系统性红斑狼疮的非裔美国人中,骨坏死与 APOL1 变异相关
  • DOI:
    10.3389/flupu.2023.1219277
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kevin Yip;Meredith Akerman;Ruth Fernandez Ruiz;Nicole Leung;Huda Algasas;Yingzhi Qian;Jill P. Buyon;Jasmin Divers;P. Izmirly;Michael Belmont;Ashira Blazer
  • 通讯作者:
    Ashira Blazer

Michael Belmont的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Michael Belmont', 18)}}的其他基金

System-level Co-design and Control of Large Capacity Wave Energy Converters with Multiple PTOs
具有多个 PTO 的大容量波浪能转换器的系统级协同设计与控制
  • 批准号:
    EP/V040634/1
  • 财政年份:
    2021
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Research Grant
Optimal Design of Very Large Tidal Stream Farms: for Shallow Estuarine Applications
超大型潮汐流场的优化设计:浅河口应用
  • 批准号:
    EP/J010138/1
  • 财政年份:
    2012
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Research Grant
Wave Hub baseline study
Wave Hub 基线研究
  • 批准号:
    NE/I015183/1
  • 财政年份:
    2010
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Research Grant
Short Term Deterministic Wave Prediction as a Tool for Enhanced Performance with Survivability for Wave Energy Converters.
短期确定性波浪预测作为增强波浪能转换器性能和生存能力的工具。
  • 批准号:
    EP/F027176/1
  • 财政年份:
    2007
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Research Grant

相似海外基金

Imminent Disease Prediction and Prevention at the Environment Host Interface (IMMEDIATE)
通过环境主机接口进行迫在眉睫的疾病预测和预防(立即)
  • 批准号:
    10058101
  • 财政年份:
    2023
  • 资助金额:
    $ 73.57万
  • 项目类别:
    EU-Funded
Development of a genome and environment based model for precise prediction of high temperature damage in rice grain quality
开发基于基因组和环境的模型,用于精确预测稻米品质的高温损伤
  • 批准号:
    22H02330
  • 财政年份:
    2022
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Development of Modelling Techniques for Subject-Specific Prediction of Biomechanical Variables Beyond the Research Environment
研究环境之外生物力学变量特定主题预测的建模技术的发展
  • 批准号:
    RGPIN-2018-03894
  • 财政年份:
    2022
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Discovery Grants Program - Individual
Development of a driver's physical condition prediction model that can consider dynamic changes in the thermal environment inside the vehicle
开发考虑车内热环境动态变化的驾驶员身体状况预测模型
  • 批准号:
    21K03954
  • 财政年份:
    2021
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Prediction of fatigue limit of three-dimensional shaped article under extreme environment and extension of thruster life with combustion test.
通过燃烧试验预测极端环境下三维成型件的疲劳极限并延长推进器寿命。
  • 批准号:
    21K03783
  • 财政年份:
    2021
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of Modelling Techniques for Subject-Specific Prediction of Biomechanical Variables Beyond the Research Environment
研究环境之外生物力学变量特定主题预测的建模技术的发展
  • 批准号:
    RGPIN-2018-03894
  • 财政年份:
    2021
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Discovery Grants Program - Individual
Meteorological downscaling and atmospheric environment prediction using deep learning
利用深度学习进行气象降尺度和大气环境预测
  • 批准号:
    21H03593
  • 财政年份:
    2021
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Life prediction of next generation power semiconductors in space environment
太空环境下下一代功率半导体的寿命预测
  • 批准号:
    20K19769
  • 财政年份:
    2020
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Development of Modelling Techniques for Subject-Specific Prediction of Biomechanical Variables Beyond the Research Environment
研究环境之外生物力学变量特定主题预测的建模技术的发展
  • 批准号:
    RGPIN-2018-03894
  • 财政年份:
    2020
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Discovery Grants Program - Individual
Development of anti-corrosion technique of CFRP strengthened steel structures and durability prediction under atmospheric environment
碳纤维增强钢结构防腐技术发展及大气环境下耐久性预测
  • 批准号:
    19K15074
  • 财政年份:
    2019
  • 资助金额:
    $ 73.57万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了