- 5
- 3
- 1
- 1
- 1
- 1
- 1
- 1
Dominique Heitz
Head senior reserach scientist, group ACTA.
14
Documents
Affiliations actuelles
- 1002501
Identifiants chercheurs
- dominique-heitz
- 0000-0001-6295-2822
- Google Scholar : https://scholar.google.fr/citations?user=Kn8-gJAAAAAJ&hl=fr
- IdRef : 08894719X
Présentation
I am a senior research scientist at INRAE, Rennes, France, where I have been the ACTA group head since 2013. I received the PhD degree in 1999 in fluid mechanics from the Univ. of Poitiers, France. I work on experimental, numerical, and theoretical studies of turbulent flows, with applications in food, agriculture, and environment.
My research is focused on turbulent shear flows by tackling crucial topics of measurements techniques, analysis and modeling of environmental and industrial flows in presence of non-canonical influences. This concerns the study of mixing layer/wake interaction, wake flow with spanwise non uniformity, mixing layer under the influence of thermal gradients, and mixing layer developing between non-uniform flows.
Currently my research is mostly focused on developing and analyzing efficient models and methods for 2D and 3D spatiotemporal vector fields reconstruction from image sequences of turbulent flows. Key challenges are the development of observation and regularization models based on the physics of fluids, and the combination of image sequences with numerical simulation of dynamical laws.
Publications
- 1
- 1
- 1
- 4
- 5
- 2
- 1
- 1
- 3
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 13
- 1
- 1
- 4
- 1
- 1
- 14
- 11
- 8
- 5
- 4
- 4
- 3
- 3
- 3
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
|
Real-time estimation and prediction of unsteady flows using reduced-order models coupled with few measurementsJournal of Computational Physics, 2022, 471, pp.111631. ⟨10.1016/j.jcp.2022.111631⟩
Article dans une revue
hal-03445455v3
|
|
Stochastic modelling and diffusion modes for proper orthogonal decomposition models and small-scale flow analysisJournal of Fluid Mechanics, 2017, 828, pp.29. ⟨10.1017/jfm.2017.467⟩
Article dans une revue
hal-01400119v2
|
Fast data assimilation of sparse measurements for time extrapolation of main flow patterns22nd Computational Fluids Conference (CFC 2023), Apr 2023, Cannes, France
Communication dans un congrès
hal-04186541v1
|
|
Resolution-aware prior generation for reduced data assimilation in fluid dynamics7th ECCOMAS (European Congress on Computational Methods in Applied Sciences and Engineering ) Young Investigators Conference (YIC) 2023, Jun 2023, Porto, Portugal
Communication dans un congrès
hal-04186546v1
|
|
Estimation of multiplicative noise operator statistics for reduced data assimilation in fluid mechanicsDynstoch 2023 -Workshop on Statistical Methods for Dynamical Stochastic Models, Mar 2023, Londres, United Kingdom
Communication dans un congrès
hal-04186538v1
|
|
Improving airflow monitoring and control solutions in wind energy & agroecology sectorsMath2Product 2023, May 2023, Taormina, Italy
Communication dans un congrès
hal-04186543v1
|
|
Conservative stochastic reduced order models for real-time fluid flow data assimilationECCOMAS 2022, Jun 2022, Oslo, Norway
Communication dans un congrès
hal-03709467v1
|
|
New reduced order models for real-time data assimilation using few sensors14th European Fluid Mechanics Conference (EFMC14), Euromech, Sep 2022, Athènes, Greece
Communication dans un congrès
hal-03822510v1
|
|
Stochastic reduced order models for Bayesian estimation problems in fluid mechanicsModel Reduction and Surrogate Modeling (MORE), Sep 2022, Berlin, Germany
Communication dans un congrès
hal-03822497v1
|
|
Fast Generation of prior for Bayesian estimation problems in fluid mechanicsUQsay Uncertainty Quantification (UQ),, Jun 2022, Visioconférence, France
Communication dans un congrès
hal-03709416v1
|
|
|
Real-time flow estimation from reduced order models and sparse measurementsAERO 2020+1, Apr 2021, Visioconference, France
Communication dans un congrès
hal-02969086v3
|
Real-time observer from stochastic reduced order modelGDR Flow Separation Control, Nov 2020, Poitiers, France
Communication dans un congrès
hal-03013492v1
|
|
Stochastic closure for partially-resolved turbulenceHouches 2024 - Complex Systems, Statistical Mechanics and Machine Learning Crossover (in Memory of Giovanni Paladin), Mar 2024, Les Houches, France
Poster de conférence
hal-04549011v1
|
|
Real-time unsteady air flow prediction to reduces mechanic load variations and wind turbine maintenance costsSEANERGY 2021 - International leading event on offshore wind and marine renewable energy, Sep 2021, Nantes, Saint-Nazaire, France. pp.1
Poster de conférence
hal-03278863v1
|