4 papers
Recent advances in Meta-model of Optimal Prognosis
Thomas Most, Johannes Will
In real case applications within the virtual prototyping process, it is not always possible to reduce the complexity of the physical models and to obtain numerical models which can…
Variance-based sensitivity analysis in the presence of correlated input variables
Thomas Most
In this paper we propose an extension of the classical Sobol' estimator for the estimation of variance based sensitivity indices. The approach assumes a linear correlation model be…
Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
Thomas Most
In this study the common least-squares minimization approach is compared to the Bayesian updating procedure. In the content of material parameter identification the posterior param…
Sensitivity analysis using the Metamodel of Optimal Prognosis
Thomas Most, Johannes Will
In real case applications within the virtual prototyping process, it is not always possible to reduce the complexity of the physical models and to obtain numerical models which can…