GAMES Webinar 2017-09期(Siggraph 2017论文报告)| 蒋陈凡夫(美国宾夕法尼亚大学)

 

【GAMES Webinar 2017-09期】

报告嘉宾:蒋陈凡夫,美国宾夕法尼亚大学

报告时间:2017年8月17日(星期四)晚20:00-21:30(北京时间)

主持人:郭延文,南京大学(个人主页:http://cs.nju.edu.cn/ywguo

报告题目:物质点法模拟最新进展:混合材料交互以及全自动布料与毛发的摩擦碰撞

报告摘要:

Simulation of natural phenomena for virtual worlds and characters is an important aspect of computer graphics that remains extremely demanded. The most challenging natural phenomena are those whose dynamics involve dramatic topological changes and therefore require sophisticated numerical approaches to achieve sufficient accuracy and visual realism. The need for computational efficiency, topological variability, and numerical stability has led trendy visual computing toward hybrid, Lagrangian/Eulerian methods, particularly the Particle-In-Cell variants. In this talk, I will discuss the recent research advances in the Material Point Method (MPM) — a generalization of the Fluid Implicit Particle (FLIP) method to solid mechanics.

Particularly I will cover two of our recent SIGGRAPH 2017 papers:

(1) Multi-species simulation of porous sand and water mixtures, Andre Pradhana Tampubolon, Theodore Gast, Gergely Klar, Chuyuan Fu, Joseph Teran, Chenfanfu Jiang, Ken Museth;

(2) Anisotropic Elastoplasticity for Cloth, Knit and Hair Frictional Contact, Chenfanfu Jiang, Theodore Gast, Joseph Teran. Both projects are based on MPM.

The technique is now extended much beyond simulating single granular material (snow or sand) as known in the past. The first paper presents an easy approach for simulating multi-species mixture of materials that is particularly important in describing continuum porous media. The second paper shows how physical elastoplastic consitutive modeling with MPM can help us automatically handle arbitrarily complex friction contacting scenarios in cloth, knit, and hair simulations, without the explicit need of implementing any collision detection or treatment.

讲者简介:

蒋陈凡夫,20176月起于宾夕法尼亚大学计算机与信息科学系任助理教授。2010年毕业于中国科学技术大学少年班物理专业。2015年于UCLA获得计算机博士学位(授予工程学院Edward K. Rice Outstanding Doctoral Student奖)。2015年至20175月于UCLA数学系任博士后。主要研究方向是计算固体和流体力学的偏微分方程数值解,计算机图形学中基于物理的自然现象和固体液体的模型与仿真,弹性塑性力学,有限元法和物质点法,医学虚拟手术仿真等。曾与迪士尼,梦工厂等工作室合作开发用于最新电影如ZootopiaMoana的固流体解算器。个人主页:http://www.seas.upenn.edu/~cffjiang

 

直播链接:http://webinar.games-cn.org

Liu, Ligang

刘利刚,中国科学技术大学教授、博导。分别于1996年及2001年于浙江大学获得应用数学学士及博士学位。从事计算机图形学研究,已在该领域顶级期刊ACM Transactions on Graphics上发表论文三十余篇。曾于微软亚洲研究院、浙江大学、哈佛大学工作或访问。曾获微软青年教授奖、陆增镛CAD&CG高科技奖一等奖、国家自然科学奖二等奖等奖项。任多个国内外会议的大会共同主席或论文共同主席及多个国际学术期刊编委。负责创建了中科大《计算机图形学前沿》暑期课程及CCF CAD&CG专委图形学在线交流平台GAMES。

You may also like...