The SCRBE (Static-Condensation Reduced-Basis-Element) method is a component-to-system model order reduction approach for efficient many-query and real-time treatment of linear partial differential equations characterized by many spatially distributed constitutive, geometry, and topology parameters. In this paper we incorporate the SCRBE approach into a framework for analysis of problems in solid mechanics which are largely linear with the exception of local nonlinearities. In particular, we exploit a linear-nonlinear domain decomposition to develop a hybrid formulation: we consider a SCRBE approximation over the (assumed predominant) part of the domain associated to a linear elasticity model; we revert to a full finite element (FE) approxim...
Physics-based numerical simulation remains challenging as the complexity of today’s high-fidelity mo...
In this paper we propose a reduced basis hybrid method (RBHM) for the approximation of partial diffe...
International audienceThis paper introduces a coupled approach between stochastic finite element met...
In solid mechanics, linear structures often exhibit (local) nonlinear behavior when close to failure...
new certification framework for the port-reduced static condensation reduced basis element method Ka...
A technique published in SAND Report 2006-1789 ''Model Reduction of Systems with Localized Nonlinear...
Numerical simulations currently represent one of the most efficient ways of studying complex physica...
The reduced basis (RB) methods are proposed here for the solution of parametrized equations in linea...
We propose a reduced order modelling technique based on a partitioning of the domain of study in the...
SUMMARY A general approach to the dimensional reduction of non-linear finite element models of solid...
A general approach to the dimensional reduction of non-linear finite element models of solid dynamic...
The reduced basis element method is a new approach for approximating the solution of problems descri...
Applied to solid mechanics problems with geometric nonlinearity, current finite element and boundary...
This thesis introduces three new developments of the reduced basis method (RB) and the empirical int...
A domain decomposed solver is introduced for the solution of large three-dimensional problems in fin...
Physics-based numerical simulation remains challenging as the complexity of today’s high-fidelity mo...
In this paper we propose a reduced basis hybrid method (RBHM) for the approximation of partial diffe...
International audienceThis paper introduces a coupled approach between stochastic finite element met...
In solid mechanics, linear structures often exhibit (local) nonlinear behavior when close to failure...
new certification framework for the port-reduced static condensation reduced basis element method Ka...
A technique published in SAND Report 2006-1789 ''Model Reduction of Systems with Localized Nonlinear...
Numerical simulations currently represent one of the most efficient ways of studying complex physica...
The reduced basis (RB) methods are proposed here for the solution of parametrized equations in linea...
We propose a reduced order modelling technique based on a partitioning of the domain of study in the...
SUMMARY A general approach to the dimensional reduction of non-linear finite element models of solid...
A general approach to the dimensional reduction of non-linear finite element models of solid dynamic...
The reduced basis element method is a new approach for approximating the solution of problems descri...
Applied to solid mechanics problems with geometric nonlinearity, current finite element and boundary...
This thesis introduces three new developments of the reduced basis method (RB) and the empirical int...
A domain decomposed solver is introduced for the solution of large three-dimensional problems in fin...
Physics-based numerical simulation remains challenging as the complexity of today’s high-fidelity mo...
In this paper we propose a reduced basis hybrid method (RBHM) for the approximation of partial diffe...
International audienceThis paper introduces a coupled approach between stochastic finite element met...