2006
DOI: 10.1007/s00366-006-0047-5
|View full text |Cite
|
Sign up to set email alerts
|

A component-based parallel infrastructure for the simulation of fluid–structure interaction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
35
0

Year Published

2007
2007
2021
2021

Publication Types

Select...
7
3

Relationship

2
8

Authors

Journals

citations
Cited by 56 publications
(35 citation statements)
references
References 11 publications
0
35
0
Order By: Relevance
“…The algorithm is a finite volume, multi-material CFD code based on the ICE (Implicit, Continuous-fluid, Eulerian) method. The ICE implementation used in this study is well developed and documented [22][23][24]. The code is three-dimensional, fully compressible, unsteady, and capable of modeling variable fluid properties, fluid-structure interactions, and chemical reactions.…”
Section: Numerical Modelmentioning
confidence: 99%
“…The algorithm is a finite volume, multi-material CFD code based on the ICE (Implicit, Continuous-fluid, Eulerian) method. The ICE implementation used in this study is well developed and documented [22][23][24]. The code is three-dimensional, fully compressible, unsteady, and capable of modeling variable fluid properties, fluid-structure interactions, and chemical reactions.…”
Section: Numerical Modelmentioning
confidence: 99%
“…A good example of a production-strength multiphysics framework is Uintah (Parker, 2006;Parker et al, 2006), a set of software components and libraries that facilitate the solution of partial differential equations on structured adaptive mesh refinement grids using hundreds to thousands of processors (Luitjens et al, 2008). Uintah employs an abstract task graph representation to describe computation and communication.…”
mentioning
confidence: 99%
“…The core of Uintah is a sophisticated computational framework that can integrate multiple simulation components, analyze the dependencies and communication patterns between them, and execute the resulting multi-physics simulation [23]. Uintah utilizes an abstract representation (called a task-graph) of parallel computation and communication to express data dependencies between multiple physics components.…”
Section: Simulation Methodology 21 Uintah Computation Frameworkmentioning
confidence: 99%