Probabilistic and interval model updating methods are described, with particular attention paid to variability in nominally identical test structures due, for example, to the effect of accumulated manufacturing tolerances, or degradation of performance caused by wear of engineering components. In such cases the updating parameter distributions are meaningful physically either as PDFs or as intervals. Stochastic model updating is an inverse problem, generally requiring multiple forward solutions, which may be carried out very efficiently by the use of surrogates, in place of full FE models. The procedure is illustrated by experimental examples, including model updating of (i) a frame structure with uncertain locations of two internal beams a...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...
In structural dynamics, the adjustment of a set of modelling parameters based on the minimization of...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Abstract Stochastic model updating methods are described, including prob-abilistic perturbation meth...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
Deterministic model updating is now a mature technology, widely applied to large scale industrial s...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
A two-level framework is demonstrated for stochastic model updating. At the first level, variance-ba...
Parameterisation in stochastic problems is a major issue in real applications. In addition, complexi...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...
In structural dynamics, the adjustment of a set of modelling parameters based on the minimization of...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Abstract Stochastic model updating methods are described, including prob-abilistic perturbation meth...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
Deterministic model updating is now a mature technology widely applied to large-scale industrial str...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
Deterministic model updating is now a mature technology, widely applied to large scale industrial s...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
The problem of stochastic model updating is addressed by means of the application of two methods (co...
A two-level framework is demonstrated for stochastic model updating. At the first level, variance-ba...
Parameterisation in stochastic problems is a major issue in real applications. In addition, complexi...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...
In structural dynamics, the adjustment of a set of modelling parameters based on the minimization of...
International audienceThis paper presents an overview of the theoretic framework of stochastic model...