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Featured Article: Reduced order models for thermally coupled low Mach flows

11.30 Featured Article ImageIn this paper we present a collection of techniques used to formulate a projection-based reduced order model (ROM) for zero Mach limit thermally coupled Navier–Stokes equations. The formulation derives from a standard proper orthogonal decomposition model reduction, and includes modifications to improve the drawbacks caused by the inherent non-linearity of the used Navier–Stokes equations: a hyper-ROM technique based on mesh coarsening; an implicit ROM subscales formulation based on a variational multi-scale framework; and a Petrov–Galerkin projection necessary in the case of non-symmetric terms. At the end of the article, we test the proposed ROM formulation using 2D and 3D versions of the same example: a differentially heated cavity.

Being a woman in engineering - an interview with Stefanie Reese

Being a woman in engineering - an interview with Stefanie ReeseIn this Interview, Advanced Modeling and Simulation in Engineering Sciences' Editorial Board Member and Author Stefanie Reese tells us more about herself, shares why she chose her career path & offers some advice for young women interested in engineering.

Read the interview here

Article Collections

Be are pleased to announce our newest article collection on Advances in Model Order Reduction Techniques, with guest editor Tomas Chacon Rebollo.

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Forthcoming

Advanced Plate and Shell Models
Edited by: Erasmo Carrera and Francisco Chinesta


2018

Advances in Model Order Reduction Techniques
Edited by: Pierre Ladeveze, Francisco Chinesta and Tomas Chacon Rebollo


2017

Non-intrusive computational techniques and related methods
Edited by: Olivier Allix, Armando Duarte

Towards new paradigms for time integrators in computational dynamic
Edited by: Anthony Gravouil 

Computational fracture and failure of materials and structures
Edited by: Olivier Allix and Nicolas Moës

Unfitted techniques in computational mechanics
Edited by: Riccardo Rossi and Alessandro Reali


2016

Model order reduction: POD, PGD and reduced bases
Edited by: Francisco Chinesta, Pierre Ladeveze, Yvon Maday


2015

Computational mechanics and medicine
Edited by: Bernhard Schrefler, Elias Cueto

Simulation techniques for process modeling
Edited by: Stefanie Reese, Ton van den Boogaard

Computational Rheology
Edited by: Roland Keunings, Francisco Chinesta

Verification and validation for and with reduced order modeling
Edited by: Pedro Diez, Ludovic Chamoin

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The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies. 

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