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Data Assimilation in Computational Mechanics – Recent Advances and New Trends

The use of experimental data in association with simulation models has become an active research topic. Indeed, new experimental facilities (such as digital image/volume correlation (DIC/DVC)) now enable to collect a large and diversified amount of data, and these may be used to identify and validate complex models, or to enhance predictions made by simulations tools. Furthermore, data and models are more and more intertwined to improve knowledge in applications dealing with structural health monitoring and control for instance, with potential real-time dialogue between simulators and connected physical systems (e.g., the DDDAS concept).

However, many challenges dealing with data filtering, computational cost, or
numerical robustness need to be addressed in order to incorporate data efficiently. 

The goal of this special issue is to present, in both deterministic and stochastic (Bayesian) contexts, recent fundamental advances in data assimilation and inverse methods with regards to innovative and powerful numerical approaches which emerged during the last years. 

Edited by: Ludovic Chamoin, Andrea Manzoni, Karen Veroy-Grepl

  1. Tagged Magnetic Resonance images (tagged-MRI) are generally considered to be the gold standard of medical imaging in cardiology. By imaging spatially-modulated magnetizations of the deforming tissue, indeed, t...

    Authors: Alexandre Imperiale, Dominique Chapelle and Philippe Moireau

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:2

    Content type: Research article

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  2. A major challenge in constructing three dimensional patient specific hemodynamic models is the calibration of model parameters to match patient data on flow, pressure, wall motion, etc. acquired in the clinic....

    Authors: Christopher J. Arthurs, Nan Xiao, Philippe Moireau, Tobias Schaeffter and C. Alberto Figueroa

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:48

    Content type: Research article

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  3. We propose a novel approach to structural health monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor systems. Damage detection and ...

    Authors: Luca Rosafalco, Andrea Manzoni, Stefano Mariani and Alberto Corigliano

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:38

    Content type: Research article

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  4. Digital image correlation (DIC) is a full-field measurement technique. In instantaneous approaches (i.e., registering two images), DIC only gives access to displacement (or velocity) fields. Consequently, acce...

    Authors: Corentin Le Gourriérec, Stéphane Roux and François Hild

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:30

    Content type: Research article

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  5. A new in situ vibration mode measurement method within a tomograph is proposed based on Projection-based Digital Volume Correlation techniques. Several projection angles are selected and a large number of radi...

    Authors: Clément Jailin, Thomas Jailin and Stéphane Roux

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:20

    Content type: Research article

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