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

航行新北极(NNA)是NSF的十大想法之一。NNA项目解决了快速变化的北极地区汇聚的科学挑战。北极研究需要为国家、更大区域和全球的经济、安全和韧性提供信息。NNA增强了从地方到国际的新的研究伙伴关系，使下一代北极研究人员多样化，加强正式和非正式教育的努力，并在适当的情况下整合共同创造知识。该奖项通过在以下NNA重点领域解决自然和环境之间的相互作用实现了这一目标的一部分：数据和观测、教育和全球影响。由于北极迅速变暖，海冰正在变薄和消退，使更多的北极水域越来越容易进行航运和运输、研究和勘探以及其他经济发展活动。该区域海上活动的增加对北极环境构成了潜在风险，特别是在渔船、近海石油和天然气工业以及邮轮使用的区域。在该地区冰盖部分作业的海洋结构也导致了北极冰川的变化。该项目利用实地实验、模型、卫星和观测数据的组合，探索北极冰和海洋结构之间的复杂相互作用，以制定风险评估和建模的概念框架，以确保该区域的安全航运和作业。通过该项目获得的知识使广泛的利益攸关方受益，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，以确保具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员提供了研究机会，并向少数民族学生提供了学习机械工程的机会。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、不断演变的性质。因此，该项目利用降阶建模框架，通过了解每个参数的动力学并找到主导这些相互作用的环境和结构条件来简化这些复杂的冰-结构相互作用。该项目开发了最先进的冰-结构相互作用建模框架和风险评估概念。研究来自卫星图像、数据站和气象机构的气象和海洋数据，以及来自海洋结构物的结构响应数据，以创建数据矩阵并促进有效框架的发展。利用稀疏性促进的多变量分析技术和无方程建模，阐明了这种相互作用的非线性性质。开发的模型被用来形成一个新的风险评估概念，帮助船舶操作员和在其他人造结构上工作的人在北极地区的操作期间提供知情的决策。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.