We present an overview concerning the main concepts, formulations and advances for the stochastic modeling of uncertainties in computational structural dynamics and structural acoustics. The parametric probabilistic approach, the nonparametric probabilistic approach and the generalized probabilistic approach of uncertainties are presented in the context of structural dynamics and in structural acoustics and vibration, including not only the construction of prior probability models but also the identification of posterior probability models
The response of engineering structures is often sensitive to uncertainty in the system properties. T...
When studying mechanical systems, engineers usually consider that mathematical models and ...
International audienceWhen studying mechanical systems, engineers usually consider that mathematical...
We present an overview concerning the main concepts, formulations and advances, including new result...
International audienceThis paper deals with a short overview on stochastic modeling of uncertainties...
Opening Keynote LectureInternational audienceA new generalized probabilistic approach of uncertainti...
International audienceThis paper deals with the validation and industrial applications of a nonparam...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
International audienceIn structural dynamics, a predictive model is constructed by developing a math...
International audienceA new generalized probabilistic approach of uncertainties is proposed for comp...
International audienceThis paper is devoted to the construction and to the identification of a proba...
Plenary LectureInternational audienceIn the introduction of this paper, we summarize the usual param...
The paper is devoted to the modeling and identification of uncertainties in computational struc-tura...
Reduced-order models, substructuring techniques and uncertainty quantification are important aspects...
International audienceIn this paper, we present some aspects relative to the types of uncertainties,...
The response of engineering structures is often sensitive to uncertainty in the system properties. T...
When studying mechanical systems, engineers usually consider that mathematical models and ...
International audienceWhen studying mechanical systems, engineers usually consider that mathematical...
We present an overview concerning the main concepts, formulations and advances, including new result...
International audienceThis paper deals with a short overview on stochastic modeling of uncertainties...
Opening Keynote LectureInternational audienceA new generalized probabilistic approach of uncertainti...
International audienceThis paper deals with the validation and industrial applications of a nonparam...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
International audienceIn structural dynamics, a predictive model is constructed by developing a math...
International audienceA new generalized probabilistic approach of uncertainties is proposed for comp...
International audienceThis paper is devoted to the construction and to the identification of a proba...
Plenary LectureInternational audienceIn the introduction of this paper, we summarize the usual param...
The paper is devoted to the modeling and identification of uncertainties in computational struc-tura...
Reduced-order models, substructuring techniques and uncertainty quantification are important aspects...
International audienceIn this paper, we present some aspects relative to the types of uncertainties,...
The response of engineering structures is often sensitive to uncertainty in the system properties. T...
When studying mechanical systems, engineers usually consider that mathematical models and ...
International audienceWhen studying mechanical systems, engineers usually consider that mathematical...