Collaborative Research: Computational Methods for Coupled Wave, Current, Sediment Transport and Morphological Evolution

合作研究：耦合波、海流、泥沙输送和形态演化的计算方法

• 批准号: 0915223
• 负责人: Clinton Dawson
• 金额: $ 27.92万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915223&HistoricalAwards=false
• 关键词: Collaborative; Research; Computational; Methods; Coupled

The goal of this project is to significantly advance the capability to accurately predict sediment transport and seabed morphology in three-dimensional coastal and estuarine environments. To achieve this goal, state-of-the-art algorithms for fully coupled wave, current, sediment transport and bed morphology will be developed, analyzed, and implemented. The development of this system will require a better mathematical and physical understanding of the tightly coupled nature of the various processes involved. In addition, it will require computational strategies which address the accurate and efficient coupling of interdependent processes that exhibit a wide range of spatial and temporal scales?both within the fluid motion itself and between the fluid and bed motion. Robust and highly parallelizable algorithms for the various processes will be developed based on discontinuous Galerkin finite element methods, and the coupling of these algorithms will be carefully investigated in order to maintain numerical accuracy, efficiency, and local mass conservation of sediment and fluid phases.Studying and predicting the morphodynamics of the coastal zone requires a detailed knowledge of winds, waves, currents, sediment transport and, ultimately, the resulting morphological changes of the seabed that occur as a result of these processes. The erosion and deposition of bed sediment can have a major detrimental impact on the coastal population, infrastructure and environment. For example, during Hurricane Katrina, four major levee breeches that occurred during the storm were a result of foundation-induced failures caused by scour. The transport of sediment is closely tied to a number of other issues in the coastal zone, including water quality and related ecological concerns, beach and shoreline erosion, and the maintenance of navigation channels and harbors through dredging activities.Accurate estimates of expected sediment transport and bed morphological changes can aid greatly in the long-range planning and management of coastal and estuarine environments. In this project, the investigators will develop a fully coupled wave, current, sediment transport and bed morphology model system. Such a system will significantly advance the capability to accurately predict sediment transport and seabed morphology in coastal and estuarine environments.From this research, a better scientific understanding of the complex interrelations among hydrodynamic, transport and morphodynamic processes in the coastal zone will emerge, which can lead to more informed decision-making that will help protect the coastal population and infrastructure. The developed software of the project will also provide a computational infrastructure that can be used in many other applications within the area of computational modeling. Furthermore, the technology developed under this project will be disseminated to government agencies such as NOAA and the US Army Corps of Engineers.

该项目的目标是大大提高准确预测三维沿海和河口环境中沉积物迁移和海底形态的能力。为了实现这一目标，国家的最先进的算法完全耦合波，电流，泥沙输运和床形态将开发，分析和实施。 这个系统的发展将需要更好的数学和物理理解的紧密耦合的性质所涉及的各种过程。此外，它将需要计算策略，解决相互依赖的过程，表现出广泛的空间和时间尺度的准确和有效的耦合？在流体运动本身内以及在流体和床运动之间。 将根据不连续Galerkin有限元法开发各种过程的鲁棒和高度并行化的算法，并将仔细研究这些算法的耦合，以保持数值精度、效率和沉积物和流体相的局部质量守恒。研究和预测海岸带的形态动力学需要详细了解风、波浪、水流、沉积物输运，最后，这些过程导致海底形态发生变化。河床沉积物的侵蚀和沉积可对沿海人口、基础设施和环境产生重大的有害影响。 例如，在卡特里娜飓风期间，风暴期间发生的四个主要堤坝决口是冲刷引起的基础诱发故障的结果。 沉积物的迁移与沿海地区的一些其他问题密切相关，包括水质和有关的生态问题、海滩和海岸线侵蚀以及通过疏浚活动维护航道和港口，对预期的沉积物迁移和河床形态变化的准确估计可大大有助于沿海和河口环境的长期规划和管理。 在这个项目中，研究人员将开发一个完全耦合的波浪，水流，泥沙输运和床面形态模型系统。 这一系统将大大提高准确预测沿海和河口环境中沉积物迁移和海底形态的能力，通过这一研究，将对沿海地区的水动力、迁移和形态动力过程之间复杂的相互关系有更好的科学认识，从而作出更明智的决策，帮助保护沿海人口和基础设施。该项目开发的软件还将提供计算基础设施，可用于计算建模领域的许多其他应用程序。此外，在该项目下开发的技术将传播给政府机构，如NOAA和美国陆军工程兵团。