International audienceNon-intrusive methods have been used since two decades to derive reduced-order models for geometrically nonlinear structures, with a particular emphasis on the so-called STiffness Evaluation Procedure (STEP), relying on the static application of prescribed displacements in a finite-element context. We show that a particularly slow convergence of the modal expansion is observed when applying the method with 3D elements, because of nonlinear couplings occurring with very high frequency modes involving 3D thickness deformations. Focusing on the case of flat structures, we first show by computing all the modes of the structure that a converged solution can be exhibited by using either static condensation or normal form the...
When vibrating with large amplitudes, thin structures experience geometric nonlinearity due to the n...
International audienceThis paper aims at reviewing nonlinear methods for model order reduction of st...
Modal derivative is an approach to compute a reduced basis for model order reduction of large-scale ...
International audienceNon-intrusive methods have been used since two decades to derive reduced-order...
Simulation of structural dynamics involving global nonlinearities, such as large amplitude motion, i...
This paper presents a general methodology to compute nonlinear frequency responses of flat structure...
In this paper we present a method for nonlinear frequency response analysis of mechanical vibrations...
In this chapter, we present an overview of the so-called modal methods for reduced order modeling. T...
International audienceThe direct computation of the third-order normal form for a geometrically nonl...
A reduced-order modelling to predictively simulate the dynamics of piezoelectric structures with geo...
Non-intrusive model-order reduction methods are beneficial for reducing the computational costs of d...
International audienceThis research is devoted to the construction of a reduced-order computational ...
International audienceThe objective of this contribution is to compare two methods proposed recently...
International audienceThis research is devoted to the construction of a reduced-order computational ...
Dynamic analysis of large-size finite element models has been commonly applied by mechanical enginee...
When vibrating with large amplitudes, thin structures experience geometric nonlinearity due to the n...
International audienceThis paper aims at reviewing nonlinear methods for model order reduction of st...
Modal derivative is an approach to compute a reduced basis for model order reduction of large-scale ...
International audienceNon-intrusive methods have been used since two decades to derive reduced-order...
Simulation of structural dynamics involving global nonlinearities, such as large amplitude motion, i...
This paper presents a general methodology to compute nonlinear frequency responses of flat structure...
In this paper we present a method for nonlinear frequency response analysis of mechanical vibrations...
In this chapter, we present an overview of the so-called modal methods for reduced order modeling. T...
International audienceThe direct computation of the third-order normal form for a geometrically nonl...
A reduced-order modelling to predictively simulate the dynamics of piezoelectric structures with geo...
Non-intrusive model-order reduction methods are beneficial for reducing the computational costs of d...
International audienceThis research is devoted to the construction of a reduced-order computational ...
International audienceThe objective of this contribution is to compare two methods proposed recently...
International audienceThis research is devoted to the construction of a reduced-order computational ...
Dynamic analysis of large-size finite element models has been commonly applied by mechanical enginee...
When vibrating with large amplitudes, thin structures experience geometric nonlinearity due to the n...
International audienceThis paper aims at reviewing nonlinear methods for model order reduction of st...
Modal derivative is an approach to compute a reduced basis for model order reduction of large-scale ...