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Highly efficient ensemble algorithms for computing the Stokes–Darcy equations

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成果类型:
期刊论文
作者:
Jiang, Nan;Yang, Huanhuan
通讯作者:
Yang, HH
作者机构:
[Jiang, Nan] Univ Florida, Dept Math, Gainesville, FL 32611 USA.
[Yang, Huanhuan; Yang, HH] Cent China Natl Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
[Yang, Huanhuan; Yang, HH] Cent China Normal Univ, Key Lab Nonlinear Anal & Applicat, Minist Educ, Wuhan 430079, Peoples R China.
通讯机构:
[Yang, HH ] C
Cent China Natl Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Key Lab Nonlinear Anal & Applicat, Minist Educ, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Stokes-Darcy equations;gPAV;Uncertainty quantification;Ensemble algorithm;Partitioned method;Rotational pressure correction method
期刊:
Computer Methods in Applied Mechanics and Engineering
ISSN:
0045-7825
年:
2024
卷:
418
页码:
116562
基金类别:
US National Science Foundation [DMS-2143331]; Guangdong Basic and Applied Basic Research Foundation, Guangdong Province of China [2023A1515030199]
机构署名:
本校为通讯机构
院系归属:
数学与统计学学院
摘要:
In this report we propose two highly efficient ensemble algorithms incorporating the gPAV and the rotational pressure correction methods for computing Stokes-Darcy flow ensembles. All variables are fully decoupled including the three components of the velocity, leading to smaller linear systems to be solved at each time step. Moreover, all ensemble members share the same constant coefficient matrix for which the fast block CG method can be applied for computing the ensemble at one pass at significantly reduced computational cost. We prove the two new ensemble algorithms are unconditionally sta...

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