Numerical algorithms for higher-order accurate discretizations of flows on deforming domains

变形域上流动高阶精确离散的数值算法

• 批准号: RGPIN-2015-05606
• 负责人: Rhebergen, Sander
• 金额: $ 1.38万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590527
• 关键词: Numerical; algorithms; higher; order; accurate

Canada is one of the largest producers of hydro and wind energy in the world. Optimally designed marine and wind turbine blades can further increase the production of these sources of renewable energy. More than two hundred floods have occurred in Canada over the past century taking many lives and causing billions of dollars in damage. An accurate prediction of flood plains when rivers overflow may prevent the loss of lives and help protect Canadian homes and businesses. These are just two applications that benefit tremendously from computer simulation tools. The success of these simulation tools, however, depends on the implemented algorithms. In this project we will develop new algorithms for more efficient and more accurate simulation tools.

加拿大是世界上最大的水电和风能生产国之一。优化设计的船舶和风力涡轮机叶片可以进一步增加这些可再生能源的产量。在过去的世纪里，加拿大发生了200多次洪水，夺走了许多人的生命，造成了数十亿美元的损失。准确预测河流泛滥时的洪泛平原可能会防止生命损失，并有助于保护加拿大的家庭和企业。这只是计算机模拟工具的两个应用程序。然而，这些模拟工具的成功取决于实现的算法。在这个项目中，我们将开发新的算法，更有效，更准确的仿真工具。