About the activity group
The GAMM activity group Data-driven modeling and numerical simulation of microstructured materials (GAMM AG Data) aims at coordinating the acitivities of the members of GAMM in the field of data-based modeling, simulation and analysis in the context of microstructured materials. The GAMM AG Data was jointly initiated by Felix Fritzen (University of Stuttgart) and Stefan Diebels (University of Saarbrücken). The proposal got accepted during the GAMM annual meeting in Braunschweig in March 2016.
In the recent years significant technological improvements have been made in the field of imageing based experimental setups. For instance, the quality and the velocity (i.e. frame rate) of computer tomography based imaging have both been improved considerably while, at the same time, X-ray computer tomography devices are now available in many research facilities. By virtue of the obtained three-dimensional images, microstructures of modern natural and artificial materials can be analyzed and used in direct numerical simulations. The incorporation of the three-dimensional microstructure information is however highly non-trivial from a numerical point of view. Special data-processing techniques that are able to operate on billions of unknowns are required, e.g., by making use of the advantageous properties of the Fast Fourier Transform (FFT). The development of algorithms and data handling techniques for the processing of three-dimensional data sets denote major topics of the GAMM AG Data. Innovative image processing techniques for automatic phase segmentation and microstructure reconstructions that are usable for finite element discretizations are equally important.
(Schüler, Jänicke, Steeb: Nonlinear modeling and computational homogenization of asphalt concrete on the basis of XRCT scans, in Const. Build. Mater. 109, p. 96-108, 2016)
Nondestructive imaging techniques can further reveal geometrical information about the microstructure in situ, i.e. in the course of an experiment. The investigation and modeling of the microstructural changes (e.g. bonds that break; compaction in foams; fluid flow in porous media etc.) based on experimental data is another key topic.
The diversity of the GAMM AG Data is also exemplified by the fields in which the associated researchers operate:
- applied mathematics
- high performance algorithms
- convergence behaviour of algorithms
- theoretical and applied mechanics
- constitutive modeling across the scales
- innovative multi-level constitutive models
- computer-assisted homogenization models
- materials science
- experimental techniques
- image processing
- in situ experiments
- high performance computing
- massively parallel algorithms
- efficient solvers for billions of unknowns
- large scale data structures
GAMM AG DATA Workshops
Due to the Covid-19 pandemic, this year's workshop is held in the form of an online meeting. We are looking forward to interesting scientific contributions alongside group discussions and virtual coffee meetings in break-out rooms. Participation is free of charge.
Stefanie Reese and her team (in particular Steffen Kastian and Robert Eggersmann) are organizing the new GAMM AG Data workshop in Aachen on May 6/7, 2019.
Benjamin Klusemann is organizing the 4th GAMM AG Data workshop which will be held at the Leuphana University in Lüneburg and at the Helholtz Zentrum Geesthacht. The workshop will comprise exciting keynote speakers and a lab tour.
Matti Schneider and Felix Fritzen jointly organize the third GAMM AG Data workshop. Although initially projected as a small scale working session, the number of attendees quickly grew and, again, some 30 scientists are joining the workshop.
Thomas Böhlke kindly organized the second GAMM AG Data workshop in Karlsruhe.
The first event of the GAMM activity group Data-driven modeling and numerical simulation of microstructured materials (GAMM AG Data) took place at the Universiity of Stuttgart on Sep 26/27th, 2016. The constitutional meeting was attended by 30 scientists. Many interesting discussions encompassed the scientific event.