Large-scale Simulations in Complex Flows
Title: Large-scale Simulations in Complex Flows
DNr: SNIC 2016/10-36
Project Type: SNIC Large Compute
Principal Investigator: Luca Brandt <luca@mech.kth.se>
Affiliation: Kungliga Tekniska högskolan
Duration: 2016-07-01 – 2017-07-01
Classification: 20306 10105
Homepage: http://www.mech.kth.se/
Keywords:

Abstract

We present a large-level request for computer time on high-performance computing (HPC) resources within the Swedish National Infrastructure for Computing (SNIC). We summarize here the projects by the research group Micro Complex Flow , at the Linne FLOW Centre, (VR Excellence Centre) at KTH Mechanics. The group, with Pi's Prof. Brandt, Prof. Fuchs, Prof. Amberg, Assoc. Prof. Dahlkild, Lundell, Mihaescu, Duwig, Bagheri and Prahl Wittberg, Dr. Do-Quang, consists of a total of 10 senior researchers, 10 Postdocs and 16 PhD students, i.e. a total of 36 researchers and is expanding, 18 new recruitments expected in 2016. In this proposal we list 23 research projects that rely on HPC resources, grouped in five focal areas to enable a quick overview. Many researchers participate in and contribute to more than one area. 1. Material processing: Simulations of the evolution of a material microstructure with phase transformations during processing and usage. 2. Bio-physical flows: Simulations of the fluid dynamics within the human cardiovascular and respiratory systems, cell transport and bacteria locomotion and fluid/structure interactions. 3. Multiphase and free-surface flows with phase change and capillarity: multiphase flow models that accounts for complex physical phenomena such as phase change, capillary forces, buoyancy-induced convection to study bubble/ droplet spreading, breakup with evaporation, gasication and boiling process, etc. 4. Suspension flows: Simulations of flows with inertial, elongated and deformable particles and droplets to study rheology, stability and turbulence with interest in the basics of turbulent combustion. 5. Unsteady flows for combustion engines applications: Simulations of compressible flows, with heat- and mass-transfer associated with internal combustion engines and gas turbines, to reduce pollutants, improve eciency and reduce noise.