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

abstract

• 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. 2006 Elsevier Ltd. All rights reserved.

authors

• Efendiev, Yalchin

published proceedings

• COMPUTERS & MATHEMATICS WITH APPLICATIONS

author list (cited authors)

• Douglas, C. C., & Efendiev, Y.

citation count

• 13

complete list of authors

• Douglas, CC||Efendiev, Y

publication date

• June 2006

publisher

• Elsevier  Publisher

published in

• Computers and Mathematics with Applications  Journal

keywords

• Automatic Model Changing
• Cfd
• Dddas
• Multiscale Methods
• Remote Supercomputing And Steering

Digital Object Identifier (DOI)

• 10.1016/j.camwa.2006.05.003

start page

• 1633

end page

• 1646

volume

• 51

issue

• 11

URL

• http://dx.doi.org/10.1016/j.camwa.2006.05.003