2018
DOI: 10.1016/j.jfluidstructs.2018.08.019
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An efficient finite-volume method to study the interaction of two-phase fluid flows with elastic structures

Abstract: Clive (2018)An efficient finite-volume method to study the interaction of two-phase fluid flows with elastic structures. Journal of Fluids and Structures, 83. pp. 54-71.

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Cited by 23 publications
(4 citation statements)
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“…Compared with commercial software, open-source codes have advantages in removing parallel scaling-related costs (among other benefits such as enabling the implementation of bespoke solvers or algorithms, as well as transparency). Martínez-Ferrer et al (2018) established an FSI simulation tool using OpenFOAM. Both fluid and structure domains were discretised with the finite volume method and solved with OpenFOAM using up to four CPU cores.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with commercial software, open-source codes have advantages in removing parallel scaling-related costs (among other benefits such as enabling the implementation of bespoke solvers or algorithms, as well as transparency). Martínez-Ferrer et al (2018) established an FSI simulation tool using OpenFOAM. Both fluid and structure domains were discretised with the finite volume method and solved with OpenFOAM using up to four CPU cores.…”
Section: Introductionmentioning
confidence: 99%
“…The main drawback was that 3D effects around the structures were not taken into account. Martínez-Ferrer et al (2018) applied the implementations presented in Martínez-Ferrer et al (2016) to study the interaction of two-phase fluid flows with elastic structures. Mintgen and Manhart (2018) developed coupled simulations to estimate forces and drag coefficient for flood wave impacts on an obstacle.…”
Section: Introductionmentioning
confidence: 99%
“…These equations can generally be discretized on a 2-or 3-D grid by the use of well-established techniques such as the Finite Volume (FV) or Finite Element (FE) methods. With the advent of new and more powerful hardware, including Central Processing Unit (CPU) and Graphics Processing Unit (GPU), the efficiency and effectiveness of the aforementioned methodologies have improved significantly, allowing the study of real-life problems [7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%