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AF: Small: Collaborative Research: A Robust Framework for Overcoming the Tangled Mesh Problem

AF：小型：协作研究：克服网格缠结问题的稳健框架

基本信息

批准号：
1715970
负责人：
Krishnan Suresh
金额：
$ 25万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1715970&HistoricalAwards=false
关键词：
AF Small Collaborative Research Robust

项目摘要

Engineers rely heavily on computer simulation to design and create products. A critical part of computer simulation is mesh generation, where a virtual model of, say an aircraft landing-gear, is divided into a large number of simpler shapes, such as triangles, squares, and cubes. Unfortunately, for complex models, these simple shapes can get 'entangled' and overlap, which can lead to erroneous simulation results. This project will address this long-standing problem by developing: (1) new simulation methods that can work with a mildly tangled mesh, and (2) new methods of 'untangling' bad tangles. The project will have a significant impact on simulation in disciplines from biomechanics to manufacturing, and the team will create software for release to the scientific community. The PIs will create teaching modules to excite young students on the interconnectivity between meshes, scientific computing, and engineering. Both universities will host outreach activities on computer simulation for K-12 students, including underrepresented minority students.This project will develop a novel finite-cell simulation method to compute accurate results on tangled meshes that avoid certain types of explicit tangling. Therefore, in parallel, a new class of nonlinear optimization methods will be developed to handle tangling in quadrilateral, hexahedral, and high-order meshes that are significantly more difficult to untangle; the aim is to handle any input mesh by untangling until a numerically correct simulation can be guaranteed. The viability of this unified and robust framework will be demonstrated through targeted applications.

工程师们在很大程度上依赖于计算机模拟来设计和创造产品。计算机模拟的一个关键部分是网格生成，其中一个虚拟模型，比如飞机起落架，被分成大量的简单形状，如三角形，正方形和立方体。不幸的是，对于复杂的模型，这些简单的形状可能会“纠缠”和重叠，这可能导致错误的模拟结果。这个项目将通过开发解决这个长期存在的问题：（1）新的模拟方法，可以与轻度缠结的网格，（2）新的方法“解开”坏缠结。该项目将对从生物力学到制造业等学科的模拟产生重大影响，该团队将创建软件并发布给科学界。PI将创建教学模块，以激发年轻学生对网格，科学计算和工程之间的互连性。这两所大学将举办针对K-12学生的计算机模拟推广活动，包括代表性不足的少数民族学生。该项目将开发一种新颖的有限单元模拟方法，以在避免某些类型的显式缠结的缠结网格上计算精确结果。因此，并行地，将开发一类新的非线性优化方法来处理四边形、六面体和高阶网格中的缠结，这些网格明显更难以解开;目的是通过解开来处理任何输入网格，直到可以保证数值正确的模拟。这一统一和强大的框架的可行性将通过有针对性的应用程序得到证明。