A dynamic data-driven application simulation framework for contaminant transport problems

被引：13

作者：

Douglas, C. C.

Efendiev, Y.

机构：

[1] Univ Kentucky, Comp Sci Dept, Lexington, KY 40506 USA

[2] Yale Univ, Comp Sci Dept, New Haven, CT 06520 USA

[3] Texas A&M Univ, Math Dept, College Stn, TX 77843 USA

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2006年 / 51卷 / 11期

基金：

美国国家科学基金会;

关键词：

DDDAS; CFD; multiscale methods; automatic model changing; remote supercomputing and steering;

D O I：

10.1016/j.camwa.2006.05.003

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We describe, devise, and augment dynamic data-driven application simulations (DDDAS). DDDAS offers interesting computational and mathematically unsolved problems, such as, how do you analyze, compute, and predict the solution of a generalized PDE when you do not know either where or what the boundary conditions are at any given moment in the simulation in advance? A summary of DDDAS features and why this is a intellectually stimulating new field are included in the paper. We apply the DDDAS methodology to some examples from a contaminant transport problem. We demonstrate that the multiscale interpolation and backward in time error monitoring are useful to long running simulations. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：1633 / 1646

页数：14

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