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NNA Research: Development of a Nonlinear Reduced Order Modeling Framework for Marine Structures Operating in The Arctic and Sub-Arctic Regions

NNA 研究：为北极和亚北极地区运行的海洋结构开发非线性降阶建模框架

基本信息

批准号：
2127095
负责人：
Ersegun Gedikli
金额：
$ 79.35万
依托单位：
University of Hawaii
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-01-01 至 2024-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2127095&HistoricalAwards=false
关键词：
NNA Research Development Nonlinear Reduced

项目摘要

Navigating the New Arctic (NNA) is one of NSF's 10 Big Ideas. NNA projects address convergence scientific challenges in the rapidly changing Arctic. The Arctic research is needed to inform the economy, security and resilience of the Nation, the larger region, and the globe. NNA empowers new research partnerships from local to international scales, diversifies the next generation of Arctic researchers, enhances efforts in formal and informal education, and integrates the co-production of knowledge where appropriate. This award fulfills part of that aim by addressing interactions among natural and environments in the following NNA focus areas: Data and Observation, Education, and Global Impact. Due to rapid warming in the Arctic, sea ice is thinning and retreating, making more Arctic waters increasingly accessible to shipping and transportation, research and exploration, and other economic development activities. Increased maritime activities in the region pose potential risks to the Arctic environment, especially in areas used by fishing vessels, offshore oil, and gas industry and cruise liners. Marine structures operating in the ice-covered part of the region also lead to changes in the Arctic icescape. Using a combination of data from field experiments, models, satellites and observations, this project explores complex interactions between ice and marine structures in the Arctic to develop a conceptual framework for risk assessment and modelling to provide safe shipping and operations in the region. The knowledge acquired through the project benefits a wide range of stakeholders, such as residents, businesses, local, regional, and government agencies, and researchers who are invested in the well-being of the region to ensure a resilient and sustainable Arctic environment. The project also provides research opportunities for graduate and undergraduate students and a postdoctoral researcher and outreach to minority students for learning mechanical engineering.In the Arctic, a major barrier to understanding the relationship between sea ice and marine structures is the complex, evolving nature of Arctic system interactions. Therefore, this project utilizes a reduced-order modeling framework to simplify these complex ice-structure interactions through understanding the dynamics of each parameter and finding the dominant environmental and structural conditions governing these interactions. This project develops a state-of-the-art ice-structure interaction modeling framework and risk assessment concept. Meteorological and oceanographic data from satellite images, data stations, and meteorological institutions, as well as structural response data from marine structures are studied to create data matrices and to facilitate the development of an efficient framework. Using sparsity-promoting multivariate analysis techniques and equation free modeling, the nonlinear nature of such interactions are clarified. The developed model is used to form a novel risk assessment concept, which assists ship operators and people working on other man-made structures to provide informed decisions during operations in the Arctic.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

新北极航行（NNA）是NSF的十大创意之一。NNA项目解决快速变化的北极地区的趋同科学挑战。北极研究需要为国家、更大地区和地球仪的经济、安全和复原力提供信息。NNA授权从地方到国际规模的新的研究伙伴关系，使下一代北极研究人员多样化，加强正规和非正规教育的努力，并在适当的情况下整合知识的共同生产。该奖项通过解决NNA以下重点领域中自然与环境之间的相互作用来实现这一目标的一部分：数据和观察、教育和全球影响。由于北极迅速变暖，海冰正在变薄和退缩，使更多的北极沃茨越来越容易用于航运和运输、研究和勘探以及其他经济发展活动。该区域海洋活动的增加对北极环境构成潜在风险，特别是在渔船、近海石油和天然气工业以及游轮使用的地区。在该地区冰层覆盖的部分运行的海洋结构也导致北极冰盖的变化。该项目结合使用现场实验、模型、卫星和观测的数据，探索北极冰与海洋结构之间复杂的相互作用，以制定风险评估和建模的概念框架，从而在该地区提供安全的航运和运营。通过该项目获得的知识使广泛的利益相关者受益，如居民，企业，地方，区域和政府机构，以及投资于该地区福祉的研究人员，以确保北极环境的弹性和可持续性。该项目还为研究生和本科生以及一名博士后研究员提供研究机会，并为学习机械工程的少数民族学生提供外展服务。在北极，理解海冰和海洋结构之间关系的一个主要障碍是北极系统相互作用的复杂性和不断演变的性质。因此，本项目利用降阶建模框架，通过了解每个参数的动态，并找到主导这些相互作用的环境和结构条件，简化这些复杂的冰结构相互作用。该项目开发了一个最先进的冰-结构相互作用建模框架和风险评估概念。对来自卫星图像、数据站和气象机构的气象和海洋学数据以及来自海洋结构的结构响应数据进行了研究，以创建数据矩阵并促进有效框架的开发。使用稀疏促进多变量分析技术和方程自由建模，这种相互作用的非线性性质的澄清。开发的模型被用来形成一个新的风险评估概念，这有助于船舶运营商和其他人造结构的工作人员在北极运营期间提供明智的决策。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Navigating Arctic Waters: A Summary of Ship Activities and Ice-Ship Interactions in Alaskan Waters

北极水域航行：阿拉斯加水域船舶活动和冰船相互作用总结

DOI：
发表时间：
2023
期刊：
Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions
影响因子：
0
作者：
Peel, G. J.;Gedikli, E. D.;Hendrikse, H.
通讯作者：
Hendrikse, H.

Investigating the dominant force distributions in ice-induced vibrations using multivariate analysis

使用多元分析研究冰引起振动的主导力分布

DOI：
发表时间：
2022
期刊：
26th IAHR International Symposium on Ice
影响因子：
0
作者：
Peel, Grant;Gedikli, E.D.
通讯作者：
Gedikli, E.D.

Observed wake branches from the 2-DOF forced motion of a circular cylinder in a free stream

DOI：
10.1016/j.jfluidstructs.2023.104035
发表时间：
2024-01
期刊：
Journal of Fluids and Structures
影响因子：
3.6
作者：
E. Aktosun;E. D. Gedikli;Jason M. Dahl
通讯作者：
E. Aktosun;E. D. Gedikli;Jason M. Dahl

2D numerical forced-motion simulations of vortex-induced vibration wakes: Toward understanding the onset of three-dimensional effects

涡激振动尾迹的二维数值强迫运动模拟：了解三维效应的开始

DOI：
发表时间：
2023
期刊：
4th International Naval Architecture and Maritime Symposium
影响因子：
0
作者：
Rajabi, Meysam;Aktosun, Erdem;Mingels, Brian;Dahl, Jason;Gedikli, Ersegun Deniz
通讯作者：
Gedikli, Ersegun Deniz

Remaining Useful Life Prediction of Rolling Bearings Based on Segmented Relative Phase Space Warping and Particle Filter

基于分段相对相空间扭曲和粒子滤波的滚动轴承剩余寿命预测