04-22【邱常新】腾讯会议 研究生教育创新计划高水平学术前沿系列报告

时间:2022-04-21


报告题目:An efficient ensemble algorithm for numerical approximation of stochastic Stokes-Darcy


报告人:邱常新 宁波大学


报告时间:2022年4月22日14:00-15:30 


地点: 腾讯会议:353-387-616 https://meeting.tencent.com/dm/fa14Bwc7JSER



摘要:

Many engineering and geological applications require effective simulations of the coupling of groundwater flows (in porous media) and surface flows. Accurate simulations are usually not feasible due to the fact it is physically impossible to know the exact parameter values, e.g., the hydraulic conductivity tensor, at every point in the domain as the realistic domains are of large scale and natural randomness occur at small scales. This presentation discusses an efficient ensemble algorithm for fast computation of multiple realizations of the stochastic Stokes-Darcy model with a random hydraulic conductivity tensor. The algorithm results in a common coefficient matrix for all realizations at each time step making solving the linear systems much less expensive while maintaining comparable accuracy to traditional methods that compute each realization separately. Moreover, it decouples the Stokes-Darcy system into two smaller sub-physics problems, which reduces the size of the linear systems and allows parallel computation of the two sub-physics problems.


报告人简介:

邱常新副教授,2019年博士毕业于美国密苏里科技大学,师从何晓明教授;2019年-2021年在美国爱荷华州立大学从事博士后研究,师从闫珏教授。2021年9月作为海外人才引进宁波大学数学与统计学院。主要研究领域为计算科学与工程,研究问题主要包括界面问题、计算流体力学、高精度高效解耦算法、高阶保正间断有限元方法以及机器学习求解偏微分方程等。在SIAM Journal of Scientific Computing, Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, Journal of Scientific Computing等国内外高水平期刊发表文章15篇。