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Banner Priority Programme DFG 1648

 

Universität
zu Köln  
TU Bergakademie FreibergUniversität ErlangenUniversität Duisburg-EssenTU DresdenUniversità della Svizzera
italiana
Prof. Dr.
Axel Klawonn (Coordinator)

Prof. Dr.
Oliver Rheinbach

Prof. Dr.
Gerhard Wellein  

Prof. Dr.-Ing.
Jörg Schröder

Prof.
Dr.-Ing.     
Daniel Balzani

Prof. Dr.
Olaf Schenk

Dr.
Martin Lanser

Dipl.-Math.
Matthias Brändel

Markus Wittmann,
M. Sc

Lisa Scheunemann,
M. Sc.
Ashutosh Gandhi, 
M. Sc.
Radim Janalik
Matthias Uran,
M. Sc.

  

FE2TI (ex_nl/FE2)



A scale-bridging approach incorporating micro-mechanics in macroscopic
simulations of multi-phase steel

 

Project Description EXASTEEL   

Publications and Talks from EXASTEEL   

Workshop "New Algorithms for Exascale Computing" (December 2013)

 

The computational simulation of advanced high strength steels, incorporating phase transformation phenomena at the microscale, on the future supercomputers developed for exascale computing is considered in this project. To accomplish this goal, new ultra-scalable, robust algorithms and solvers have to be developed and incorporated into a new application software for the simulation of this three dimensional multiscale material science problem. Such algorithms must specifically be designed to allow the efficient use of the hardware. Here, a direct multiscale approach (FE2) will be combined with new, highly efficient, parallel solver algorithms. For the latter algorithms, a hybrid algorithmic approach will be taken, combining nonoverlapping parallel domain decomposition (FETI) methods with efficient, parallel multigrid preconditioners. Engineers, mathematicians and computer scientist work closely together in this project. We refer to our approach, combining FE2 with FETI-DP as FE2TI-approach.The envisioned scale-bridging will still require a computational power which will only be obtainable when exascale computing becomes available.

 

 



FE2 computation

 

FE2 computation with a realistic microstructure and using FETI-DP on each microscopic problem.