English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

To leverage the last two decades' transition in High-Performance Computing(HPC) towards clusters of compute nodes bound together with fast interconnects,a modern scalable CFD code must be able to efficiently distribute work amongstseveral nodes using the Message Passing Interface (MPI). MPI can enable verylarge simulations running on very large clusters, but it is necessary that thebulk of the CFD code be written with MPI in mind, an obstacle to parallelizingan existing serial code.  In this work we present the results of extending an existing two-phase 3DNavier-Stokes solver, which was completely serial, to a parallel executionmodel using MPI. The 3D Navier-Stokes equations for two immiscibleincompressible fluids are solved by the continuum surface force method, whilethe location of the interface is determined by the level-set method.  We employ the Portable Extensible Toolkit for Scientific Computing (PETSc)for domain decomposition (DD) in a framework where only a fraction of the codeneeds to be altered. We study the strong and weak scaling of the resultingcode. Cases are studied that are relevant to the fundamental understanding ofoil/water separation in electrocoalescers.

Extending a serial 3D two-phase CFD code to parallel execution over MPI by using the PETSc library for domain decomposition