102 citations · 352 across the 27 of their papers we have counts for
6 papers · 1 filter
Bayesian stochastic multi-scale analysis via energy considerations
M. S. Sarfaraz, B. Rosic, H. G. Matthies +1
In this paper physical multi-scale processes governed by their own principles for evolution or equilibrium on each scale are coupled by matching the stored and dissipated energy, i…
Parametric Models Analysed with Linear Maps
Hermann G. Matthies, Roger Ohayon
Parametric entities appear in many contexts, be it in optimisation, control, modelling of random quantities, or uncertainty quantification. These are all fields where reduced order…
Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method
Ehsan Adeli, Hermann G. Matthies
To evaluate the cyclic behavior under different loading conditions using the kinematic and isotropic hardening theory of steel, a Chaboche viscoplastic material model is employed.…
Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods
Ehsan Adeli, Bojana Rosić, Hermann G. Matthies +1
To evaluate the cyclic behavior under different loading conditions using the kinematic and isotropic hardening theory of steel, a Chaboche viscoplastic material model is employed.…
Post-Processing of High-Dimensional Data
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko +2
Scientific computations or measurements may result in huge volumes of data. Often these can be thought of representing a real-valued function on a high-dimensional domain, and can…
FFT-based homogenisation accelerated by low-rank tensor approximations
Jaroslav Vondřejc, Dishi Liu, Martin Ladecký +1
Fast Fourier transform (FFT) based methods have turned out to be an effective computational approach for numerical homogenisation. In particular, Fourier-Galerkin methods are compu…