International audienceThis paper introduces a coupled approach between stochastic finite element methods and an adaptive condensation technique for the analysis of nonlinear mechanical problems under uncertainties. This coupling reduces the size of each individual nonlinear problem solved in SFE by the use of an adaptive condensation method. The reduced stiffnesses and other quantities necessary for the condensation technique are approximated using a second, low-order, polynomial expansion, thus taking advantage of the coupling with SFE. This approach also features a semi-analytical technique to compute accurately distributions of structural quantities of interest. This method is applied on an elasto-plastic steel bar with a small defect, a...
An efficient and accurate algorithm is developed to evaluate reliability in the time domain for nonl...
A Finite Element Reliability Method (FERM) is introduced to perform reliability analyses on two-dime...
This paper proposes a new method of calculating stochastic field. It is an improvement of the midpoi...
International audienceThis paper introduces a coupled approach between stochastic finite element met...
National audienceThis communication presents a condensed stochastic finite elements method, used to ...
Abstract We propose a stochastic finite element method for nonlinear mechanical systems whose uncert...
Complex engineering problems need appropriate constitutive laws such as Disturbed State Concept (DSC...
The Monte Carlo method is widely used for the estimation of uncertainties in mechanical engineering ...
Stochastic finite element methods (SFEM) have been developed for thirty years to study uncertainty p...
Stochastic analysis of structures having nonlinearity by means of sampling methods leads to expensiv...
International audienceA methodology for analyzing the large static deformations of geometrically non...
the adaptive sampling and directional sampling approach) as well as deterministic search refinement ...
International audienceA methodology for analyzing the response of geometrically nonlinear structural...
A nonlinear stochastic finite element-based procedure is developed for reliability analyses of struc...
12a. DISTRIBUTIONt AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE N/A jppto f Wb 13,1O?10t'04 13...
An efficient and accurate algorithm is developed to evaluate reliability in the time domain for nonl...
A Finite Element Reliability Method (FERM) is introduced to perform reliability analyses on two-dime...
This paper proposes a new method of calculating stochastic field. It is an improvement of the midpoi...
International audienceThis paper introduces a coupled approach between stochastic finite element met...
National audienceThis communication presents a condensed stochastic finite elements method, used to ...
Abstract We propose a stochastic finite element method for nonlinear mechanical systems whose uncert...
Complex engineering problems need appropriate constitutive laws such as Disturbed State Concept (DSC...
The Monte Carlo method is widely used for the estimation of uncertainties in mechanical engineering ...
Stochastic finite element methods (SFEM) have been developed for thirty years to study uncertainty p...
Stochastic analysis of structures having nonlinearity by means of sampling methods leads to expensiv...
International audienceA methodology for analyzing the large static deformations of geometrically non...
the adaptive sampling and directional sampling approach) as well as deterministic search refinement ...
International audienceA methodology for analyzing the response of geometrically nonlinear structural...
A nonlinear stochastic finite element-based procedure is developed for reliability analyses of struc...
12a. DISTRIBUTIONt AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE N/A jppto f Wb 13,1O?10t'04 13...
An efficient and accurate algorithm is developed to evaluate reliability in the time domain for nonl...
A Finite Element Reliability Method (FERM) is introduced to perform reliability analyses on two-dime...
This paper proposes a new method of calculating stochastic field. It is an improvement of the midpoi...