International audienceIn the work presented in this contribution we have investigated the reduction of dynamical thermo-mechanical systems and we propose a new reduction method that can be seen as an extension of the common Craig–Bampton method Craig and Bampton (1968) [2] where multi-physics is now implicitly included in the projection basis. The efficiency of this new approach has been evaluated in multiple configuration of a representative thermo-mechanical model
Analysing large scale, nonlinear, multiphysical, dynamical structures, by using mathematical modelli...
In general, model reduction techniques fall into two categories - moment -matching and Krylov techni...
Aujourd'hui, dans de nombreux champs d'applications, de plus en plus de problèmes d'ingénierie deman...
AbstractIn the work presented in this contribution we have investigated the reduction of dynamical t...
Reduction methods for multiphysical models require to find representative bases for the problem. For...
In physical systems, interactions between phenomena of different nature, generally coupled to each o...
In order to include realistic models early in the design of space applications and in the multi-disc...
We propose a projection-based monolithic model order reduction (MOR) procedure for a class of proble...
Thermo-mechanical finite element (FE) models predict the thermal behavior of machine tools and the a...
In this paper we present applications of the reduced basis method (RBM) to large-scale non...
This thesis introduces three new developments of the reduced basis method (RB) and the empirical int...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
Abstract — Optimization-ready reduced-order models should target a particular output functional, spa...
Cette thèse propose trois nouveaux développements de la méthode des bases réduites (RB) et de la mét...
We propose a new model reduction framework for problems that exhibit transport phenomena. As in the ...
Analysing large scale, nonlinear, multiphysical, dynamical structures, by using mathematical modelli...
In general, model reduction techniques fall into two categories - moment -matching and Krylov techni...
Aujourd'hui, dans de nombreux champs d'applications, de plus en plus de problèmes d'ingénierie deman...
AbstractIn the work presented in this contribution we have investigated the reduction of dynamical t...
Reduction methods for multiphysical models require to find representative bases for the problem. For...
In physical systems, interactions between phenomena of different nature, generally coupled to each o...
In order to include realistic models early in the design of space applications and in the multi-disc...
We propose a projection-based monolithic model order reduction (MOR) procedure for a class of proble...
Thermo-mechanical finite element (FE) models predict the thermal behavior of machine tools and the a...
In this paper we present applications of the reduced basis method (RBM) to large-scale non...
This thesis introduces three new developments of the reduced basis method (RB) and the empirical int...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
Abstract — Optimization-ready reduced-order models should target a particular output functional, spa...
Cette thèse propose trois nouveaux développements de la méthode des bases réduites (RB) et de la mét...
We propose a new model reduction framework for problems that exhibit transport phenomena. As in the ...
Analysing large scale, nonlinear, multiphysical, dynamical structures, by using mathematical modelli...
In general, model reduction techniques fall into two categories - moment -matching and Krylov techni...
Aujourd'hui, dans de nombreux champs d'applications, de plus en plus de problèmes d'ingénierie deman...