An open-source coupled method for aeroacoustics modelling

Augmented state estimation of urban settings using on-the-fly sequential Data Assimilation

“…The coupler CWIPI developed by ONERA and CERFACS has been chosen due to its powerful management of fully parallel data exchanges based on distributed mesh definition and its ability to interpolate between noncoincident meshes (very useful for some advanced tools based on the EnKF, like the MGEnKF [44]). Most of its uses are related to gas turbine designs [52,53], but it has also recently been employed in the field of aeroacoustics with OpenFOAM [54].…”

Developing performance portable plasma edge simulations: A survey

“…However, several third-party libraries are now available to couple a potentially arbitrary number of solvers used to model various physical systems. Common problems driving these developments include fluid-structure interaction [121], conjugate heat-transfer [119], and aeroacoustics [122]. The suite of modules developed as part of the Multiphysics Object-Orientated Simulation Environment (MOOSE) framework [123] have been used for coupled problems in nuclear fusion such as the breeder blanket [124].…”

“…The Coupling With Interpolation Parallel Interface (CWIPI) [130] and the Multiscale Universal Interface (MUI) [119] libraries perform coupling using the multiple-programme multiple-data (MPMD) MPI model. A primary benefit of MUI is the availability of examples and documentation provided by the developers, compared to a lack of documentation or examples for CWIPI (aside from open-source contributions such as Moratilla-Vega et al [122] and, within the NEPTUNE project, the successful demonstration of using CWIPI for the coupling of fluid and particle regions for examples of interest to the fusion community [131,132]). Additionally, MUI represents data as a cloud of points whereas CWIPI represents data as a mesh.…”

Augmented state estimation of urban settings using intrusive sequential Data Assimilation

“…The coupler CWIPI developed by ONERA and CERFACS has been chosen due to its powerful management of fully parallel data exchanges based on distributed mesh definition and its ability to interpolate between noncoincident meshes (very useful for some advanced tools based on the EnKF, like the MGEnKF [29]). Most of its uses are related to gas turbine designs [37,38], but it has also recently been employed in the field of aeroacoustics with OpenFOAM [39].…”