Adaptive high-fidelity computational fluid dynamics

自适应高保真计算流体动力学

• 批准号: RGPIN-2017-06740
• 负责人: Yano, Masayuki
• 金额: $ 2.19万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638755
• 关键词: Adaptive; fidelity; computational; fluid; dynamics

With rapid and sustained advances in computing hardware and algorithms, simulation-based analysis has become an indispensable tool in engineering practice. In aerospace engineering, the need to design and analyze complex aerospace systems has resulted in the development of novel numerical methods for partial differential equations (PDEs) with applications including aerodynamics. Continued advances in simulation capabilities are crucial to design next-generation engineering systems that are more efficient, safer, more sustainable, and more economical.

随着计算机硬件和算法的快速和持续发展，基于仿真的分析已成为工程实践中不可或缺的工具。在航空航天工程中，设计和分析复杂航空航天系统的需求导致了新的偏微分方程（PDE）数值方法的发展，其应用包括空气动力学。仿真能力的持续进步对于设计更高效、更安全、更可持续和更经济的下一代工程系统至关重要。