The study of mechanical systems with uncertain parameters is of increasing importance in the analysis and in the design of structures, because an adequate description of these uncertainties is necessary to provide a reliable forecasting model. In order to update or evaluate an uncertain model, different methods have been proposed, but many of these, such as the Monte Carlo simulation or the transformation method, require multiple sequential evaluations of the model. Moreover, to cover an adequate portion of the uncertain parameter space, the number of necessary evaluations of the model grows exponentially with the number of uncertain parameters, leading often to a large number of runs. The proposed methodology deals with uncertain parame...
Analytical and numerical models that simulate the physical processes inevitably contain errors due t...
The paper presents new and improved numerical methods designed for analysis of mechanical systems wi...
A Bayesian probabilistic framework for uncertainty quantification and propagation in structural dyna...
The component mode transformation method is a novel approach, developed to analyze the dynamics of s...
The predictive capability of finite element models is limited by their deterministic nature: typical...
This paper aims to assess the effect of input uncertainty on FRF predictions obtained with Finite El...
Component mode synthesis (CMS) is a well-established technique for the vibration analysis of built-u...
Nowadays, the Finite Element Method (FEM) has become a very powerful tool for the numerical optimisa...
This paper uses a non-probabilistic Fuzzy Finite Element Method (FFEM) for the analysis of the dynam...
Uncertainty propagation in multi-parameter complex structures possess significant computational chal...
This paper uses the interval and fuzzy finite element method for the eigenvalue and frequency respon...
This paper gives an overview on the application of the Fuzzy Finite Element Method (FFEM) for dynami...
This book gives an overview of the current state of uncertainty modeling in vibration, control, and ...
This paper uses an interval and fuzzy finite element approach for the eigenfrequency analysis of a m...
In structural design, every component or system needs to be tested to ascertain that it satisfies th...
Analytical and numerical models that simulate the physical processes inevitably contain errors due t...
The paper presents new and improved numerical methods designed for analysis of mechanical systems wi...
A Bayesian probabilistic framework for uncertainty quantification and propagation in structural dyna...
The component mode transformation method is a novel approach, developed to analyze the dynamics of s...
The predictive capability of finite element models is limited by their deterministic nature: typical...
This paper aims to assess the effect of input uncertainty on FRF predictions obtained with Finite El...
Component mode synthesis (CMS) is a well-established technique for the vibration analysis of built-u...
Nowadays, the Finite Element Method (FEM) has become a very powerful tool for the numerical optimisa...
This paper uses a non-probabilistic Fuzzy Finite Element Method (FFEM) for the analysis of the dynam...
Uncertainty propagation in multi-parameter complex structures possess significant computational chal...
This paper uses the interval and fuzzy finite element method for the eigenvalue and frequency respon...
This paper gives an overview on the application of the Fuzzy Finite Element Method (FFEM) for dynami...
This book gives an overview of the current state of uncertainty modeling in vibration, control, and ...
This paper uses an interval and fuzzy finite element approach for the eigenfrequency analysis of a m...
In structural design, every component or system needs to be tested to ascertain that it satisfies th...
Analytical and numerical models that simulate the physical processes inevitably contain errors due t...
The paper presents new and improved numerical methods designed for analysis of mechanical systems wi...
A Bayesian probabilistic framework for uncertainty quantification and propagation in structural dyna...