An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier--Stokes Equations | Zendy

M. Gunzburger | Zendy; Traian Iliescu | Zendy; Muhammad Mohebujjaman | Zendy; Michael Schneier | Zendy

Open Access

An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier--Stokes Equations

Author(s) -

M. Gunzburger,

Traian Iliescu,

Muhammad Mohebujjaman,

Michael Schneier

Publication year - 2019

Publication title -

siam/asa journal on uncertainty quantification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.094

H-Index - 29

ISSN - 2166-2525

DOI - 10.1137/18m1221618

Subject(s) - collocation (remote sensing) , filter (signal processing) , reynolds number , navier–stokes equations , collocation method , mathematics , flow (mathematics) , stochastic differential equation , cylinder , computer science , algorithm , mathematical analysis , differential equation , ordinary differential equation , mechanics , physics , geometry , turbulence , machine learning , compressibility , computer vision

In this paper, we propose a filter-based stabilization of reduced order models (ROMs) for uncertainty quantification (UQ) of the time-dependent Navier--Stokes equations in convection-dominated regi...

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