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.

NSF的10个大创意之一是导航新北极（NNA）。 NNA项目应对北极快速变化的融合科学挑战。需要进行北极研究，以告知国家，较大地区和地球的经济，安全和弹性。 NNA赋予从本地量表到国际规模的新研究伙伴关系，使下一代北极研究人员多样化，加强了正规和非正式教育方面的努力，并在适当的情况下整合了知识的共同生产。该奖项通过解决以下NNA焦点领域的自然和环境之间的互动来实现该目标的一部分：数据和观察，教育和全球影响。由于北极的快速变暖，海冰正在变薄和撤退，这使得更大的北极水域越来越容易进入运输和运输，研究和勘探以及其他经济发展活动。该地区的海上活动增加对北极环境构成潜在风险，尤其是在渔船，海上石油以及天然气行业和巡航衬里的地区。在该地区冰覆盖的部分运行的海洋结构也会导致北极冰面的变化。该项目结合了现场实验，模型，卫星和观察结果的数据，探索了北极中的冰与海洋结构之间的复杂相互作用，以开发一个概念框架，用于风险评估和建模，以提供该地区的安全运输和运营。通过该项目获得的知识使众多利益相关者（例如居民，企业，地方，地区和政府机构）以及投资于该地区福祉的研究人员，以确保富有弹性和可持续的北极环境。该项目还为研究生和本科生以及博士后研究人员提供了研究机会，并向少数族裔学生学习机械工程学。系统交互。因此，该项目利用一个缩小的建模框架来简化这些复杂的冰结构相互作用，通过了解每个参数的动力学并找到控制这些相互作用的主要环境和结构条件。该项目开发了最先进的冰结构互动建模框架和风险评估概念。研究了来自卫星图像，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，以创建数据矩阵并促进有效的框架的发展。使用促进性多元分析技术和无方程式建模，阐明了这种相互作用的非线性性质。开发的模型用于形成一种新颖的风险评估概念，该概念有助于船舶运营商和从事其他人造结构的人员，以在北极运营期间提供明智的决策。该奖项反映了NSF的法定任务，并被认为值得通过使用基金会的智力优点和更广泛的影响评估标准进行评估。

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.

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

DOI：
10.1109/tim.2022.3214623
发表时间：
2022-01-01
期刊：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
影响因子：
5.6
作者：
Liu, Hengyu;Yuan, Rui;Song, Gangbing
通讯作者：
Song, Gangbing

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