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Call for Papers: 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. 

We anticipate contributions on the following topics:

  • data assimilation and real-time model updating;
  • use of model reduction or multiscale approaches;
  • adaptive and multi-fidelity strategies;
  • analysis of full-field measurements, data selection;
  • representation and propagation of model and measurement errors;
  • goal-oriented model updating;
  • experimental design


Submission Instructions 
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Advanced Modeling and Simulation in Engineering Sciences. The complete manuscript should be submitted through the Advanced Modeling and Simulation in Engineering Sciences submission system. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.


Lead Guest Editor
Ludovic Chamoin, ENS Paris-Saclay, France, ludovic.chamoin@ens-paris-saclay.fr

Guest Editors
Andrea Manzoni, Politecnio di Milano, Italy, andrea1.manzoni@polimi.it
Karen Veroy-Grepl, Aachen University, Germany, veroy@aices.rwth-aachen.de


Open Access Publication
Submissions will also benefit from the usual advantages of open access publication:

  • Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.

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