Abstract: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia’s national scientific industrial research laboratory, has had a rich and sustained history in computational modeling of complex industrial, environmental, and biophysical processes. In this presentation, an overview of CSIRO’s computational modelling capability will be given. The capability is primarily particle-based, smoothed particle hydrodynamics (SPH) and discrete element method (DEM) being the main numerical methods. However, ever-increasing commercial requirements to simulate complex multi-physics and multiscale problems is driving a need to combine these particle-based methods with grid-based methods such as finite element/finite volume and novel mesh-based algorithms.
I will present progress toward our multiscale and multi-physics modeling capability and discuss three driver applications: comminution, additive manufacturing, and biomechanical modelling. I will also present CSIRO’s scientific workflow and application development framework, called Workspace. Workspace is used to create licensed customised packages of our solvers for our industrial clients. It is also used across CSIRO to deliver in other scientific applications.
Bio: Sharen Cummins is a senior research scientist in the Computational Modelling group at CSIRO. She completed her Ph.D. in mathematics at Monash University in 2000, specializing in modeling incompressible flows using SPH. She then worked at Los Alamos National Laboratory as a postdoctoral associate and research scientist, where she developed numerical algorithms and software to model granular and fluid flows, crystallisation and casting processes. In 2008 she joined the Computational Modelling group at CSIRO as a software and algorithm developer where her work supports the accurate, efficient and robust simulation of industrial, biological and geophysical applications. Her career interests are in the development of particle-based and grid-based methods, in particular their coupling to model multiple physics and their efficient implementation in large commercial applications.