Sakarya University (SAU) Faculty of Engineering, Department of Civil Engineering faculty member Dr. Emre Akmaz was accepted as a researcher for COST (European Cooperation in Science and Technology) CA22132 action.
Sakarya University Faculty of Engineering, Department of Civil Engineering Dr. Emre Akmaz has been accepted as a member of two working groups, "Going closer to physics (WG2)" and "Normalization and best practices (WG4)" of the European COST project "CA22132- Open Network on DEM Simulations".
WG2 will focus on actions to realize more realistic numerical modeling of physical processes. These include strategies for better representation of particle shape in DEM simulations, enhancement of existing particle bonds, and monitoring energy, momentum and mass conservation. To achieve these goals, this working group will conduct both experimental and numerical studies.
WG4 will focus on the proper use of DEM methods. It will examine issues related to the development of a particle-scale model of a physical system; it will consider appropriate parameters for determining appropriate parameters, calibration, boundary conditions, sample size, numerical integration. It will also present simple case studies and (more complex) benchmarks so that users can validate their simulation setups.
The Discrete Element Method (DEM) belongs to the class of numerical methods that solve the equations of motion of a large number of particles simultaneously. These methods are applied to a wide range of problems that can be described in a discrete framework. Naturally, it includes the study of bound and unbound granular media such as rocks, powders and sand-like materials. Discrete Element Method (DEM) simulations are used in numerous disciplines.
The project, which will run until October 2027, aims to connect knowledge and people across the large and diverse DEM community. Action CA22132 will assess and expand what can be achieved with DEM, disseminate new developments, promote best practices, provide common tools for simulation examples, validation experiments, data analysis, training of young researchers and involvement of other interested parties.
