Presentation Details
A Bayesian approach to parameter identification for phase-field modeling fracture (Keynote)
Thursday, 12 Oct 2017; 10:30 - 10:50 in room 7.11
In Session:
MS14-1: Multiscale Modeling of Transport Processes and Fracture in Concrete (Show complete Mini Symposium)
Thursday, 12 Oct 2017; 10:30 - 12:30 in room 7.11
Show complete Session
1st and presenting Author
Tao Wu
Institute of Applied Mechanics
Technical University of Braunschweig
Braunschweig, Germany
Institute of Applied Mechanics
Technical University of Braunschweig
Braunschweig, Germany
2nd Author
Bojana Rosić
Institute of Scientific Computing
Technical University of Braunschweig
Braunschweig, Germany
Institute of Scientific Computing
Technical University of Braunschweig
Braunschweig, Germany
3rd Author
Hermann Matthies
Institute of Scientific Computing
Technical University of Braunschweig
Braunschweig, Germany
Institute of Scientific Computing
Technical University of Braunschweig
Braunschweig, Germany
4th Author
Laura De Lorenzis
Institute of Applied Mechanics
Technical University of Braunschweig
Braunschweig, Germany
Institute of Applied Mechanics
Technical University of Braunschweig
Braunschweig, Germany
Micro Abstract:
Phase-field modeling is capable of simulating complicated fracture processes in a unified framework without the need for ad-hoc criteria and on a fixed mesh. The objective of this work is to apply the probabilistic analysis through a Bayesian approach to provide an efficient and reliable parameter identification for phase-field modeling of fracture.