At a macroscopic scale, the details of mechanical behaviour are often uncertain, due to incomplete knowledge of details at small scales; this is especially acute if the materials have to be described before actually having been manufactured, such as in the case of concrete. Here the uncertainties are described by probabilistic methods, using recent numerical techniques for random fields based on white noise analysis. Numerical procedures are then developed to change/update the description once the materials have been manufactured, in order to take into accountadditionalinformation, obtainedforexamplefrommeasurements. This results in an improved description of the uncertainties of the material behaviour
Owing to manufacturing composite materials and others show considerable uncertainties in wall-thickn...
Mechanical properties of engineering materials are sensitive to the underlying random microstructure...
Uncertainties in the macroscopic response of heterogeneous materials result from two sources: the na...
AbstractThe prediction of thermo-mechanical behaviour of heterogeneous materials such as heat and mo...
Predicting the behaviour of various engineering systems is commonly performed using mathematical mod...
Uncertainty quantification and its propagation across multi-scale model/experiment chains are key el...
Recently, probabilistic simulations became an inseparable part of risk analysis. Managers and stakeh...
Reassessment of infrastructure buildings has become an essential approach to deal with increasing tr...
The random nature of the micro-structural attributes in materials in general and composite material ...
The realistic modelling of structures is essential for their numerical simulations and is mainly cha...
The stochastic finite element method is a useful tool to calculate the response of systems subject t...
Numerical modelling of quasi-brittle materials arising from lattice or particle formulations is base...
Imprecise probability based methods are developed in this study for the parameter estimation, in fin...
Material properties are often dominated by imperfections and geometrical variations in micro-scale. ...
Modelling of heterogeneous materials based on randomness of model input parameters involves paramete...
Owing to manufacturing composite materials and others show considerable uncertainties in wall-thickn...
Mechanical properties of engineering materials are sensitive to the underlying random microstructure...
Uncertainties in the macroscopic response of heterogeneous materials result from two sources: the na...
AbstractThe prediction of thermo-mechanical behaviour of heterogeneous materials such as heat and mo...
Predicting the behaviour of various engineering systems is commonly performed using mathematical mod...
Uncertainty quantification and its propagation across multi-scale model/experiment chains are key el...
Recently, probabilistic simulations became an inseparable part of risk analysis. Managers and stakeh...
Reassessment of infrastructure buildings has become an essential approach to deal with increasing tr...
The random nature of the micro-structural attributes in materials in general and composite material ...
The realistic modelling of structures is essential for their numerical simulations and is mainly cha...
The stochastic finite element method is a useful tool to calculate the response of systems subject t...
Numerical modelling of quasi-brittle materials arising from lattice or particle formulations is base...
Imprecise probability based methods are developed in this study for the parameter estimation, in fin...
Material properties are often dominated by imperfections and geometrical variations in micro-scale. ...
Modelling of heterogeneous materials based on randomness of model input parameters involves paramete...
Owing to manufacturing composite materials and others show considerable uncertainties in wall-thickn...
Mechanical properties of engineering materials are sensitive to the underlying random microstructure...
Uncertainties in the macroscopic response of heterogeneous materials result from two sources: the na...