The component mode transformation method is a novel approach, developed to analyze the dynamics of systems affected by uncertainties in their dynamic parameters. This method provides a reliable improvement of the computational performance of the original transformation method, which represents a practical tool to generally analyze systems with uncertain parameters. The uncertain parameters of the system are modeled by fuzzy numbers in contrast to random numbers used in stochastic approaches. As a result of this fuzzy arithmetical analysis, a quantification of the overall uncertainty of the system outputs, including a worst-case scenario, is provided. The component mode transformation method uses the component mode synthesis approach to dras...
This paper uses an interval and fuzzy finite element approach for the eigenfrequency analysis of a m...
Fuzzy arithmetic has received little attention among researchers regarding its ability to solve real...
International audienceContinuous-time linear systems with uncertain parameters are widely used for m...
The study of mechanical systems with uncertain parameters is of increasing importance in the analysi...
Component mode synthesis (CMS) is a well-established technique for the vibration analysis of built-u...
International audienceModelling uncertainties in an industrial application require a thorough knowle...
International audienceWhen modeling real-life applications, uncertainty appears in the form of, for ...
The study of mechanical systems with uncertain parameters is gaining increasing interest in the fiel...
This paper proposes a new uncertain analysis method for vehicle dynamics involving hybrid uncertaint...
The paper presents new and improved numerical methods designed for analysis of mechanical systems wi...
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...
In order to improve the computational efficiency of the large-scale structures with uncertainty para...
This paper uses the interval and fuzzy finite element method for the eigenvalue and frequency respon...
In order to deal with the complex situation that parametric uncertainty and correlation coexist in t...
This paper uses an interval and fuzzy finite element approach for the eigenfrequency analysis of a m...
Fuzzy arithmetic has received little attention among researchers regarding its ability to solve real...
International audienceContinuous-time linear systems with uncertain parameters are widely used for m...
The study of mechanical systems with uncertain parameters is of increasing importance in the analysi...
Component mode synthesis (CMS) is a well-established technique for the vibration analysis of built-u...
International audienceModelling uncertainties in an industrial application require a thorough knowle...
International audienceWhen modeling real-life applications, uncertainty appears in the form of, for ...
The study of mechanical systems with uncertain parameters is gaining increasing interest in the fiel...
This paper proposes a new uncertain analysis method for vehicle dynamics involving hybrid uncertaint...
The paper presents new and improved numerical methods designed for analysis of mechanical systems wi...
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...
In order to improve the computational efficiency of the large-scale structures with uncertainty para...
This paper uses the interval and fuzzy finite element method for the eigenvalue and frequency respon...
In order to deal with the complex situation that parametric uncertainty and correlation coexist in t...
This paper uses an interval and fuzzy finite element approach for the eigenfrequency analysis of a m...
Fuzzy arithmetic has received little attention among researchers regarding its ability to solve real...
International audienceContinuous-time linear systems with uncertain parameters are widely used for m...