activity
20162020
most citedParameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method

7 citations · 9 across the 3 of their papers we have counts for

collaborators

9 papers

math.NA2020

Crack propagation simulation without crack tracking algorithm: embedded discontinuity formulation with incompatible modes

A. Stanic, B. Brank, A. Ibrahimbegovic +1

We show that for the simulation of crack propagation in quasi-brittle, two-dimensional solids, very good results can be obtained with an embedded strong discontinuity quadrilateral…

math.ST20191 cited

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…

math.NA2019

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…

cs.CE20197 cited

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.…

cs.CE20191 cited

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.…

math.NA2019

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…