ECCM ECFD 2018

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Minisimposium

Monday, 11 June 2018 11:00 - 13:00 Model reduction, big data and dynamic data-driven systems I Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48A Room: Forth Chair: Francisco Chinesta CoChair: Charbel Farhat
‘On the fly‘ snapshot selection for hyper-reduced Proper Orthogonal Decomposition with application to nonlinear dynamic (Keynote Lecture) Pierre Phalippou, Salim Bouabdallah, Piotr Breitkpof and Pierre Villon Hierarchical reduced basis methods Karsten Urban A nonlinear a-priori Hyper-Reduction method for the dynamic simulation of a car tire rolling over a rough road surface Daniel De Gregoriis, Frank Naets, Peter Kindt and Wim Desmet A procedure for continues estimation of system input force and states Abbas Kazemi Amiri and Christian Bucher
Monday, 11 June 2018 16:30 - 18:30 Model reduction, big data and dynamic data-driven systems II Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48B Room: Forth Chair: Charbel Farhat CoChair: Pierre Ladeveze
Model order reduction for physically-based augmented reality (Keynote Lecture) Alberto Badias, David González, Iciar Alfaro, Francisco Chinesta and Elias Cueto SoftFEM: the Soft Finite Element Method Jose M. Peña, Antonio LaTorre and Antoine Jérusalem Model updating of a historic railway bridge based on genetic algorithms Jorge Leite, Diogo Ribeiro, Bruno Costa, Jorge Magalhães-Mendes and Rodrigo Martins Model Order Reduction for nonlinear problems involving complex time-varying loadings Pierre Ladeveze and David Neron Towards a 3D magneto-mechanical software using hp-finite elements for MRI scanner design Marcos Seoane, Paul D. Ledger, Antonio J. Gil, Michael Mallett, Serigio Zlotnik and Antonio Huerta Machine learning enhanced scalable finite element simulation of head injury Anna Schroder, Jose-Maria Peña and Antoine Jerusalem
Tuesday, 12 June 2018 11:00 - 13:00 Model reduction, big data and dynamic data-driven systems III Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48C Room: Forth Chair: Pierre Ladeveze CoChair: Elias Cueto
Parameter-multiscale PGD methods for high dimensional parametric spaces (Keynote Lecture) Charles Paillet, Pierre Ladevèze and David Néron Minimizing the constrained weight of frames with nash genetic algorithms: a mutation rate study David Greiner, Jacques Periaux, Jose M. Emperador, Blas Galván and Gabriel Winter A deep learning-based constitutive model for finite element analysis Fariborz Ghavamian and Angelo Simone On the coupling of local 3d parametric solutions and global 2d shell theory in structural mechanics Giacomo Quaranta, Fatima Daim, Mustapha Ziane, Emmanuelle Abisset-Chavanne, Jean-Louis Duval and Francisco Chinesta Effects of discretization on reducibility for PDE models with variable geometry: a preliminary study Sander Dedoncker, Frank Naets, Elke Deckers and Wim Desmet A non-intrusive approach to the proper generalised decomposition for Oseen flow in OpenFOAM Vasileios Tsiolakis, Matteo Giacomini, Ruben Sevilla, Carsten Othmer and Antonio Huerta
Tuesday, 12 June 2018 14:00 - 16:00 Model reduction, big data and dynamic data-driven systems IV Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48D Room: Forth Chair: Elias Cueto CoChair: Matthew Joseph ZAHR
An accurate and generic framework for real-time finite element method simulation of soft robots using model order reduction (Keynote Lecture) Olivier Goury, Felix Vanneste and Christian Duriez On the thermodynamic admissibility of data-driven computational mechanics Ruben Ibañez, David Gonzalez, Francisco Chinesta and Elías Cueto A combined HDG-PGD approach for the solution of parameterized elliptic problems Luca Borchini, Matteo Giacomini, Ruben Sevilla and Antonio Huerta Towards a general stabilisation method for conservation laws using a multilayer Perceptron neural network: 1D scalar and system of equations Maria Han Veiga and Rémi Abgrall Towards a reduced order modelling approach for coupled acousto-magneto-mechanical problems with application to MRI scanners Guillem Barroso, Antonio J. Gil, Paul D. Ledger, Michael Mallet, Antonio Huerta and Sergio Zlotnik Verification and validation for fast simulation of acoustics and electro-magnetics including data assimilation Simona Vermiglio, Alberto García, Pedro Díez, Domenico Borzacchiello and Francisco Chinesta
Tuesday, 12 June 2018 16:30 - 18:30 Model reduction, big data and dynamic data-driven systems V Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48E Room: Forth Chair: Matthew Joseph ZAHR CoChair: Pedro Diez
A variational framework for data-driven computational mechanics applied to elasticity (Keynote Lecture) Lu Trong Khiem Nguyen, Matthias Rambausek and Marc-Andre Keip Neural-net Prediction of Stress Concentration at Fillets Using Stress Distribution Data Sets of Models without Defects Taichi Yamaguchi, Gaku Hashimoto and Hiroshi Okuda Navier-Stokes resolution using in-plane/out-of-plane separated representation Rubén Ibáñez, Adrien Scheuer, Emmanuelle Abisset-Chavanne, Francisco Chinesta and Roland Keunings POD-DEIM model order reduction for the monodomain reaction-diffusion equation in neuro-muscular system Nehzat Emamy, Pascal Litty, Thomas Klotz, Miriam Mehl and Oliver Röhrle Reshaping of Large aeronautical structural parts: A simulation approach based on Reduced Order Modeling Ramiro Mena, José V. Aguado, Stéphane Guinard and Antonio Huerta A Snapshot-Free Proper Orthogonal Decomposition Method for Time-Dependent Problems Carlos Sandino, José V. Aguado and Francisco Chinesta
Wednesday, 13 June 2018 08:30 - 10:30 Model reduction, big data and dynamic data-driven systems VI Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48F Room: Forth Chair: Antonio Huerta CoChair: Francisco Chinesta
Optimal materials and processes constructors based on the kinetic theory and model learners (Keynote Lecture) Emmanuelle Abisset-Chavanne, Jean-Louis Duval, Francisco Chinesta and Elias Cueto Diagnostics of actuation system faults from dynamic data Pier Carlo Berri, Matteo D.L Dalla Vedova and Laura Mainini Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks Nagoor Kani Jabarullah Khan and Ahmed H. Elsheikh Geometrically nonlinear modes for model reduction in structural dynamics Olivier Bruls, Valentin Sonneville and Vladimir Martinusi Model order reduction in viscoplastic flow modelling using proper orthogonal decomposition and neural networks Ekaterina A. Muravleva, Ivan V. Oseledets and Dmitry A. Koroteev A multiphase approach to the construction of POD-ROM for flows induced by rotating solids Antoine Falaize, Erwan Liberge and Aziz Hamdouni
Wednesday, 13 June 2018 11:00 - 13:00 Model reduction, big data and dynamic data-driven systems VII Minisymposium organized by Francisco Chinesta, Elias Cueto, Charbel Farhat, Matthew J. Zahr and Pierre Ladeveze	MS48G Room: Forth Chair: Elias Cueto CoChair: Anrtonio Huerta
Proper orthogonal decomposition (POD) combined with hierarchical tensor approximation (HTA) in the context of uncertain parameters (Keynote Lecture) Stefanie Reese, S. Kastian, D. Moser and L. Grasedyck Dynamic data driven strategies and resource allocation for system health monitoring Pier Carlo Berri and Laura Mainini Identification of self-similar characteristics in multiscale flows using low-rank approximation methods Thomas von Larcher and Rupert Klein Interpolation of reduced bases by inverse grassmann distance weighting and grassmannian kriging with application to incompressible flows Rolando Mosquera, Antoine Falaize, Abdallah Al-Hamidi and Aziz Hamdouni Applications of efficient nonlinear model order reduction in computer aided vehicle structure design Christopher Bach, L. Song and F. Duddeck