CHS: Small: Physically-Based Simulation of Strand-Liquid Interaction

CHS：小型：线-液体相互作用的基于物理的模拟

• 批准号: 1717178
• 负责人: Eitan Grinspun
• 金额: $ 35.4万
• 依托单位: Columbia University
• 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: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1717178&HistoricalAwards=false
• 关键词: CHS; Small; Physically; Based; Simulation

This project develops algorithms that predict the dynamics of liquids interacting with thin flexible strands. The interaction of strands with each other, and with liquids, is a fundamental physical consideration in myriad contexts. Therefore, the development of computer algorithms that can predict the physics of liquid-strand interaction has the potential to spur advances in many important scientific and engineering fields of investigation. New algorithms are needed to improve realism in virtual reality, one of the grand challenges in engineering as recognized by the National Academy of Engineering, and also to advance important problems in biology, transoceanic communications, robotics, graphical animation, and industrial product design. A fundamental challenge addressed by this project is accounting for the many ways in which liquids and strands interact. These interactions involve numerous physical ingredients at distinct spatiotemporal scales. Efficient integration of these components in numerical algorithms remains an important and challenging problem. Solving this problem will involve development of algorithms that model complex, multi-scale, multi-physics systems. The process of designing such algorithms will itself produce new insights transferrable across scientific, engineering, and creative disciplines. Students trained by this project will become highly skilled in developing, extending, and harnessing numerical and graphical algorithms for applications spanning the natural sciences and engineering. The investigators will encourage participation from underrepresented groups at the doctoral, masters, and undergraduate levels.The research studies numerical modeling of liquid-strand interactions involving the consideration of multiple physical ingredients, including strand elasticity, liquid inertia, capillary action, wetting-induced tribological changes, inter-strand contact and friction, as external forces like gravity, and dimensionless groups, at multiple spatiotemporal scales, and over transient periods. Unlike existing methods that model certain specific processes in isolation, this project emphasizes broad-purpose simulation of liquid-strand interaction. This focus requires thoughtful selection of a computer model for each physical ingredient, as well as special attention to compatibility between choices, so that reconciliation of all the ingredients in different combinations becomes tractable. In particular, this project will be carried out with two major thrusts, namely, the numerical modeling of strands interacting with Newtonian and Non-Newtonian fluids. These thrusts will also crosscut research on robust simulation of hair contacts and performance acceleration for interactive simulation.

该项目开发了算法，以预测液体与薄柔性链相互作用的动力学。 链的相互作用彼此和液体在无数情况下是一种基本的物理考虑。 因此，可以预测液体相互作用物理学的计算机算法的开发有可能刺激许多重要的科学和工程研究领域。 需要新的算法来改善虚拟现实中的现实主义，这是美国国家工程学院认可的工程挑战之一，也可以促进生物学，跨科学通信，机器人技术，图形动画和工业产品设计中的重要问题。 该项目提出的一个基本挑战是考虑到液体和链相互作用的多种方式。 这些相互作用涉及在不同的时空尺度下进行多种物理成分。 这些组件在数值算法中的有效整合仍然是一个重要且具有挑战性的问题。 解决此问题将涉及开发算法，以建模复杂的多尺度，多物理系统。 设计这种算法的过程本身将产生可在科学，工程和创意学科中转移的新见解。 接受该项目培训的学生将在开发，扩展和利用涵盖自然科学和工程的应用的数字和图形算法方面变得非常熟练。 The investigators will encourage participation from underrepresented groups at the doctoral, masters, and undergraduate levels.The research studies numerical modeling of liquid-strand interactions involving the consideration of multiple physical ingredients, including strand elasticity, liquid inertia, capillary action, wetting-induced tribological changes, inter-strand contact and friction, as external forces like gravity, and dimensionless groups, at multiple spatiotemporal scales, and over瞬态。 与现有在隔离某些特定过程中建模某些特定过程的方法不同，该项目强调了对液体相互作用的广泛模拟。 该重点需要为每种物理成分的计算机模型进行周到的选择，并特别注意选择之间的兼容性，以使所有组合中所有成分的对帐变得可拖动。 特别是，该项目将以两个主要的推力进行，即，链的数值建模与牛顿和非牛顿液相互作用。 这些推力还将对互动模拟的头发接触和性能加速进行稳健模拟进行跨越研究。

项目成果

A Simple Discretization of the Vector Dirichlet Energy

• DOI: 10.1111/cgf.14070
• 发表时间: 2020-08
• 期刊: Computer Graphics Forum
• 影响因子: 2.5
• 作者: Oded Stein;M. Wardetzky;Alec Jacobson;E. Grinspun

Hybrid discrete-continuum modeling of shear localization in granular media

• DOI: 10.1016/j.jmps.2021.104404
• 发表时间: 2021-03
• 期刊: Journal of The Mechanics and Physics of Solids
• 影响因子: 5.3
• 作者: Peter Yichen Chen;Maytee Chantharayukhonthorn;Yonghao Yue;E. Grinspun;K. Kamrin

A multi-scale model for coupling strands with shear-dependent liquid

• DOI: 10.1145/3355089.3356532
• 发表时间: 2019-11
• 期刊: ACM Transactions on Graphics (TOG)
• 作者: Yun Fei;Christopher Batty;E. Grinspun;Changxi Zheng

A multi-scale model for simulating liquid-hair interactions

• DOI: 10.1145/3072959.3073630
• 发表时间: 2017-07
• 期刊: ACM Transactions on Graphics (TOG)
• 作者: Yun Fei;H. Maia;Christopher Batty;Changxi Zheng;E. Grinspun

A Multi-Scale Model for Simulating Liquid-Fabric Interactions

• DOI: 10.1145/3197517.3201392
• 发表时间: 2018-08-01
• 期刊: ACM TRANSACTIONS ON GRAPHICS
• 影响因子: 6.2
• 作者: Fei, Yun (Raymond);Batty, Christopher;Zheng, Changxi
• 通讯作者: Zheng, Changxi