<p>A new method of stabilizing low-order, proper orthogonal decomposition based reduced-order models of the Navier Stokes equations is proposed. Unlike traditional approaches, this method does not rely on empirical turbulence modeling or modification of the Navier-Stokes equations. It provides spatial basis functions different from the usual proper orthogonal decomposition basis function in that, in addition to optimally representing the solution, the new proposed basis functions also provide stable reduced-order models. The proposed approach is illustrated with two test cases: two-dimensional flow inside a square lid-driven cavity and a two-dimensional mixing layer.</p>Dissertatio
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
International audienceIn the following paper, we consider the problem of constructing a time stable ...
International audienceIn the following paper, we consider the problem of constructing a time stable ...
A new approach to model order reduction of the Navier-Stokes equations at high Reynolds number is pr...
This article presents two new non-intrusive reduced order models based upon proper orthogonal decomp...
This study focuses on stabilizing Reduced Order Model based on Proper Orthogonal Decomposition (POD)...
This report focuses on improving the stability as well as the approximation properties of Reduced Or...
This report focuses on improving the stability as well as the approximation properties of Reduced Or...
This paper focuses on improving the stability as well as the approximation proper-ties of Reduced Or...
In the following paper, we consider the problem of constructing a time stable reduced order model of...
High fidelity simulations of flow might be quite demanding, because they involve up to O(106 – 109) ...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages ...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
International audienceIn the following paper, we consider the problem of constructing a time stable ...
International audienceIn the following paper, we consider the problem of constructing a time stable ...
A new approach to model order reduction of the Navier-Stokes equations at high Reynolds number is pr...
This article presents two new non-intrusive reduced order models based upon proper orthogonal decomp...
This study focuses on stabilizing Reduced Order Model based on Proper Orthogonal Decomposition (POD)...
This report focuses on improving the stability as well as the approximation properties of Reduced Or...
This report focuses on improving the stability as well as the approximation properties of Reduced Or...
This paper focuses on improving the stability as well as the approximation proper-ties of Reduced Or...
In the following paper, we consider the problem of constructing a time stable reduced order model of...
High fidelity simulations of flow might be quite demanding, because they involve up to O(106 – 109) ...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages ...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
Reduced order modeling has gained considerable attention in recent decades owing to the advantages o...
International audienceIn the following paper, we consider the problem of constructing a time stable ...
International audienceIn the following paper, we consider the problem of constructing a time stable ...