Adaptive probabilistic meshless methods for evolutionary systems

进化系统的自适应概率无网格方法

• 批准号: 2422163
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2422163
• 关键词: Adaptive; probabilistic; meshless; methods; evolutionary

This project will develop and implement a new class of numerical solvers for evolving systems such as interacting fluid-structure flows. To cope with extreme strain rates and large deformations these new solvers will be adaptive and meshless, and they will also implicitly represent their own solution uncertainty, thus enabling optimal design and uncertainty quantification. This exciting project brings together aspects of continuum mechanics, numerical methods for partial differential equations, and statistical machine learning.

该项目将开发和实现一类新的数值求解器，用于不断发展的系统，如相互作用的流体-结构流。为了科普极端应变率和大变形，这些新的求解器将是自适应的和无网格的，它们也将隐含地表示自己的解决方案的不确定性，从而实现最佳设计和不确定性量化。这个令人兴奋的项目汇集了连续介质力学，偏微分方程数值方法和统计机器学习的各个方面。