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1.
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The investigated lattice discrete particle model allows to simulate the failure behaviour of concrete. The main characteristic of this model is its response dependence on [...]
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2.
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In order to design an optimal experimental setup the designers have to take into account uncertainties connected to the investigated system. The input random factors asso [...]
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Currently the Bayesian inference becomes increasingly popular and more widespread approach to parameter identification, which allows to estimate values of input parameter [...]
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Widely used strategy to assess the sensitivity is based on a set of simulations for a given sets of input parameters, i.e. points in the design space. The accuracy of the [...]
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5.
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Many important parameters influencing structural behaviour involve unacceptable uncertainties. An extensive development of efficient methods for stochastic modelling enab [...]
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Janouchová, E.
An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review [...]
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In order to properly explore response of a model, one needs to perform simulations for a set of design points. When dealing complex non-linear models, the simulations are [...]
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