Algorithms for Multiple Phases

多阶段算法

• 批准号: 1317730
• 负责人: Selim Esedoglu
• 金额: $ 30.19万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-15 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1317730&HistoricalAwards=false
• 关键词: Algorithms; Multiple; Phases

This project will develop rigorously understood, highly efficient and accurate computational tools (algorithms and their software implementation, based on a solid theoretical foundation) for simulating the motion of networks of surfaces under geometric motions such as motion by weighted mean curvature and motion by surface diffusion. The approach is based on a new, variational formulation of threshold dynamics (also known as diffusion generated motion) of Merriman, Bence, and Osher that makes it possible to correctly extend the original algorithm to e.g. weighted mean curvature flow of multiple phases with unequal and anisotropic surface tensions.The geometric motions that will be studied in this project play a central role in materials science, where they describe the microstructural evolution of polycrystalline materials under common industrial processes such as annealing (heat treatment). Polycrystalline materials are very common: most metals and ceramics belong to this category. They are composed of tiny single-crystal pieces, known as grains, that are joined together along their faces. The physical properties of these materials, such as conductivity and yield strength, depend intimately on their microstructure (the shapes and sizes of the grains that make up the material). This project will advance our ability to simulate how the microstructure of these materials change, which is important for computational design of materials, where computer simulations rather than costly experiments would identify the most favorable processing parameters for achieving desired characteristics.

该项目将开发理解严密、高效和准确的计算工具(算法及其软件实现，基于坚实的理论基础)，用于模拟几何运动下的曲面网络运动，如加权平均曲率运动和表面扩散运动。该方法基于Merriman，Bence和Osher的阈值动力学(也称为扩散生成运动)的新的变分公式，使得可以正确地将原始算法扩展到例如具有不均匀和各向异性表面张力的多相的加权平均曲率流。本项目中将研究的几何运动在材料科学中起着核心作用，它们描述了多晶材料在常见工业过程中的微观结构演变，如热处理。多晶材料非常常见：大多数金属和陶瓷都属于这一类。它们由被称为颗粒的微小单晶片组成，这些颗粒沿着它们的面部连接在一起。这些材料的物理性能，如导电性和屈服强度，密切依赖于它们的微观结构(组成材料的颗粒的形状和大小)。这个项目将提高我们模拟这些材料的微观结构变化的能力，这对材料的计算设计很重要，在计算设计中，计算机模拟而不是昂贵的实验将确定实现所需特性的最有利的工艺参数。