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GAMM Activity Group Data-driven Modeling and Numerical Simulation of microstructured Materials

Kick-Off Workshop (Sep 26/27, 2016)



Kick-Off Workshop (Sep 2016)

The first event of the GAMM activity group Data-driven modeling and numerical simulation of microstructured materials (GAMM AG Data) will take place at the Universiity of Stuttgart on Sep 26/27th, 2016.

Workshop topics are

  • data-supported modeling of the constitutive behavior of materials
  • data-driven simulation techniques (e.g. FFT, FEM, FD based schemes)
  • high-performance data-processing (real-time simulations and data analysis)
  • microstructure generation and analysis

The workshop will start at 13:00h on Monday, Sep 26th, 2016. Scientific contributions in the form of oral presentations are welcome and the abstract submission deadline is September 1st, 2016 (LaTeX template: see below). On Monday, the first meeting of the GAMM activity group will take place. The conference dinner will be held in the restaurant Alte Kanzlei in the very center of Stuttgart right next to the Schlossplatz. On Tuesday the program will terminate in the afternoon. A refined schedule will be provided in time.

The registration fee of 100€ will cover

  • workshop participation, printed program/book of abstracts
  • coffee breaks, workshop dinner, lunch on Tuesday

For registration, please follow this link. REGISTRATION IS NOW CLOSED. Please note that the number of participants may be limited. Participation is handled on a first come first serve basis. We are however trying our best to fit in everyone who is willing to participate in the workshop.

A LaTeX template for abstract submission (via e-mail to is now available HERE.

The PDF version of the workshop announcement can be found here.

Important Dates

Registration deadline is July 31st, 2016. Payment of the registration fee and abstract submission deadline is September 1st, 2016.

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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 of algorithms; preconditioning; ...)
  • 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 (e.g. massively parallel algorithms, solvers and data structures)

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The first meeting of the GAMM Activity Group will be held at the University of Stuttgart on Sep 26/27, 2016. [link]

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