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A priori hyperreduction method: an adaptive approach
D Ryckelynck - Journal of computational physics, 2005 - Elsevier
Model reduction methods are usually based on preliminary computations to build the shape
function of the reduced order model (ROM) before the computation of the reduced state …
function of the reduced order model (ROM) before the computation of the reduced state …
Proper general decomposition (PGD) for the resolution of Navier–Stokes equations
In this work, the PGD method will be considered for solving some problems of fluid
mechanics by looking for the solution as a sum of tensor product functions. In the first stage …
mechanics by looking for the solution as a sum of tensor product functions. In the first stage …
Multi-level a priori hyper-reduction of mechanical models involving internal variables
D Ryckelynck, DM Benziane - Computer Methods in Applied Mechanics …, 2010 - Elsevier
This paper concerns the adaptation of reduced-order models during simulations of series of
elastoviscoplastic problems. In continuation with previous works, this paper aimed at …
elastoviscoplastic problems. In continuation with previous works, this paper aimed at …
Time‐space PGD for the rapid solution of 3D nonlinear parametrized problems in the many‐query context
This work deals with the question of the resolution of nonlinear problems for many different
configurations in order to build a 'virtual chart'of solutions. The targeted problems are three …
configurations in order to build a 'virtual chart'of solutions. The targeted problems are three …
Multidimensional a priori hyper-reduction of mechanical models involving internal variables
Modeling large systems usually requires metamodels or response surfaces (RSs) of sub-
systems. These metamodels are using sampling points in a parameter domain and related …
systems. These metamodels are using sampling points in a parameter domain and related …
The Reference Point Method, a “hyperreduction” technique: Application to PGD-based nonlinear model reduction
A new approximation technique, called Reference Point Method (RPM), is proposed in order
to reduce the computational complexity of algebraic operations for constructing reduced …
to reduce the computational complexity of algebraic operations for constructing reduced …
Improving the k-compressibility of hyper reduced order models with moving sources: applications to welding and phase change problems
The simulation of engineering problems is quite often a complex task that can be time
consuming. In this context, the use of Hyper Reduced Order Models (HROMs) is a promising …
consuming. In this context, the use of Hyper Reduced Order Models (HROMs) is a promising …
An efficient 'a priori'model reduction for boundary element models
The Boundary Element Method (BEM) is a discretisation technique for solving partial
differential equations, which offers, for certain problems, important advantages over domain …
differential equations, which offers, for certain problems, important advantages over domain …
A priori space–time separated representation for the reduced order modeling of low Reynolds number flows
C Leblond, C Allery - Computer Methods in Applied Mechanics and …, 2014 - Elsevier
Reduced order models (ROMs) in fluid dynamics are nowadays mostly developed by
performing a projection of the Navier–Stokes equations onto a low-dimensional space basis …
performing a projection of the Navier–Stokes equations onto a low-dimensional space basis …
Toward optimality of proper generalised decomposition bases
The solution of structural problems with nonlinear material behaviour in a model order
reduction framework is investigated in this paper. In such a framework, greedy algorithms or …
reduction framework is investigated in this paper. In such a framework, greedy algorithms or …