B. Rosic

发表

Variational Theory and Computations in Stochastic Plasticity

H. Matthies, B. Rosic, 2015 .

Variational Formulations and Functional Approximation Algorithms in Stochastic Plasticity of Materials

B. Rosic, 2012 .

Troubleshooting: a Dynamic Solution for Achieving Reliable Fault Detection by Combining Augmented Reality and Machine Learning

B. Rosic, A. Martinetti, L. V. van Dongen, 2021, SSRN Electronic Journal.

Bayesian Parameter Estimation via Filtering and Functional Approximations

Hermann G. Matthies, Alexander Litvinenko, Elmar Zander, 2016, 1611.09293.

Stochastic Description of Aircraft Simulation Models and Numerical Approaches

J. H. Diekmann, B. Rosic, 2014 .

Bayesian Parameter Determination of a CT-Test Described by a Viscoplastic-Damage Model Considering the Model Error

Hermann G. Matthies, Ehsan Adeli, Sven Reinstädler, 2020, Metals.

Stochastic upscaling of heterogeneous materials

Hermann G. Matthies, Muhammad Sadiq Sarfaraz, Bojana V. Rosić, 2016 .

A Deterministic Filter for non‐Gaussian State Estimation

H. Matthies, B. Rosic, A. Litvinenko, 2011 .

Variational Theory and Computations in Stochastic Plasticity

H. Matthies, B. Rosic, 2014, Archives of Computational Methods in Engineering.

A thermo-mechanically coupled finite strain model considering inelastic heat generation

H. Matthies, M. Zivkovic, R. Niekamp, 2015, Continuum Mechanics and Thermodynamics.

Parametric and Uncertainty Computations with Tensor Product Representations

Hermann G. Matthies, Alexander Litvinenko, Elmar Zander, 2011, WoCoUQ.

Model updating techniques for damage detection in concrete beam using optical fiber strain measurement device

Bojana V. Rosić, Julien Waeytens, Xavier Chapeleau, 2016 .

Parameter estimation via conditional expectation: a Bayesian inversion

Hermann G. Matthies, Alexander Litvinenko, Elmar Zander, 2016, Adv. Model. Simul. Eng. Sci..

Comparison of deterministic and probabilistic approaches to identify the dynamic moving load and damages of a reinforced concrete beam

Julien Waeytens, Bojana V. Rosic, J. Waeytens, 2015, Appl. Math. Comput..

Characterization and propagation of uncertainties associated with limited data using a hierarchical parametric probability box

H. Matthies, B. Rosic, Truong-Vinh Hoang, 2018, PAMM.

Parameter identification for phase-field modeling of fracture: a Bayesian approach with sampling-free update

Hermann G. Matthies, L. De Lorenzis, T. Wu, 2020, Computational Mechanics.

Identification of Properties of Stochastic Elastoplastic Systems

Hermann G. Matthies, Bojana V. Rosić, H. Matthies, 2013 .

Parameter Identification in a Probabilistic Setting pdf

Hermann G. Matthies, Alexander Litvinenko, Jan Sykora, 2012, ArXiv.

Bayesian stochastic multi-scale analysis via energy considerations

H. G. Matthies, B. Rosic, M. S. Sarfaraz, 2019, Adv. Model. Simul. Eng. Sci..

Comparison of Bayesian methods on parameter identification for a viscoplastic model with damage

Hermann G. Matthies, Ehsan Adeli, Sven Reinstädler, 2020, Probabilistic Engineering Mechanics.

Stochastic Plasticity - A Variational Inequality Formulation and Functional Approximation Approach. I: The Linear Case

H. Matthies, B. Rosic, 2012 .

Inelastic Media under Uncertainty: Stochastic Models and Computational Approaches

Hermann G. Matthies, Bojana V. Rosić, H. Matthies, 2008 .

A thermo-mechanically coupled finite strain model considering inelastic heat generation

Rainer Niekamp, Vladimir Dunić, Miroslav Živković, 2016 .

Methods for the Uncertainty Quantification of Aircraft Simulation Models

Jobst Henning Diekmann, J. H. Diekmann, Bojana V. Rosic, 2015 .

Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials pdf

Anna Kučerová, Jan Sýkora, Bojana Rosić, 2011, J. Comput. Appl. Math..

Sampling-free linear Bayesian updating of model state and parameters using a square root approach

Hermann G. Matthies, Bojana V. Rosic, Oliver Pajonk, 2013, Comput. Geosci..

A deterministic filter for non-Gaussian Bayesian estimation— Applications to dynamical system estimation with noisy measurements

Hermann G. Matthies, Alexander Litvinenko, Bojana V. Rosic, 2012 .

Stochastic Upscaling via Linear Bayesian Updating

Hermann G. Matthies, Adnan Ibrahimbegovic, Bojana V. Rosić, 2018 .

Sampling-free linear Bayesian update of polynomial chaos representations

Hermann G. Matthies, Alexander Litvinenko, Bojana V. Rosic, 2012, J. Comput. Phys..

Analysis of polymorphic data uncertainties in engineering applications

Hermann G. Matthies, Tim Ricken, Georg-Peter Ostermeyer, 2019, GAMM-Mitteilungen.

Bending behaviour of thermoplastic composites in melt: A data-driven approach

R. Akkerman, B. Rosic, Sebastiaan Wijskamp, 2021, Composites Science and Technology.

Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics Computers and Fluids

B. Rosic, G. Stabile, 2019, Computers & Fluids.

Comparison of Numerical Approaches to Bayesian Updating

Hermann G. Matthies, Anna Kučerová, Jan Sýkora, 2016 .

Deterministic Linear Bayesian Updating of State and Model Parameters for a Chaotic Model

O. Pajonk, B.V. Rosić, H.G. Matthies, 2012 .

Neural network-based surrogate model for a bifurcating structural fracture response

Lars Greve, B. P. van de Weg, M. T. Andres, 2021, Engineering Fracture Mechanics.