Geodesic
A parameter identification problem in stochastic homogenization
Frédéric Legoll1, 2 ; William Minvielle3, 2 ; Amaël Obliger4, 5 ; Marielle Simon6
1Laboratoire Navier, École Nationale des Ponts et Chaussées, Université Paris-Est, 6 et 8 avenue Blaise Pascal, 77455 Marne-La-Vallée Cedex 2, France;
2INRIA Rocquencourt, MATHERIALS research-team, Domaine de Voluceau, B.P. 105, 78153 Le Chesnay Cedex, France
3CERMICS, École Nationale des Ponts et Chaussées, Université Paris-Est, 6 et 8 avenue Blaise Pascal, 77455 Marne-La-Vallée Cedex 2, France;
4Sorbonne Universités, UPMC Univ. Paris 06, UMR 8234 PHENIX, 75005 Paris, France;
5ANDRA, Parc de la Croix-Blanche, 1-7, rue Jean-Monnet, 92298 Châtenay-Malabry, France
6UMPA, UMR-CNRS 5669, ENS Lyon, 46 allée d’Italie, 69007 Lyon, France;
ESAIM. Proceedings, Tome 48 (2015), pp. 190-214
Cet article a éte moissonné depuis la source EDP Sciences

Voir la notice de l'article

In porous media physics, calibrating model parameters through experiments is a challenge. This process is plagued with errors that come from modelling, measurement and computation of the macroscopic observables through random homogenization – the forward problem – as well as errors coming from the parameters fitting procedure – the inverse problem. In this work, we address these issues by considering a least-square formulation to identify parameters of the microscopic model on the basis on macroscopic observables, including homogenized coefficients. In particular, we discuss the selection of the macroscopic observables which we need to know in order to uniquely determine these parameters. To gain a better intuition and explore the problem without a too high computational load, we mostly focus on the one-dimensional case. We show that the Newton algorithm can be efficiently used to robustly determine optimal parameters, even when some small statistical noise is present in the system.
DOI : 10.1051/proc/201448008

Frédéric Legoll  1 , 2   ; William Minvielle  3 , 2   ; Amaël Obliger  4 , 5   ; Marielle Simon  6

1 Laboratoire Navier, École Nationale des Ponts et Chaussées, Université Paris-Est, 6 et 8 avenue Blaise Pascal, 77455 Marne-La-Vallée Cedex 2, France;
2 INRIA Rocquencourt, MATHERIALS research-team, Domaine de Voluceau, B.P. 105, 78153 Le Chesnay Cedex, France
3 CERMICS, École Nationale des Ponts et Chaussées, Université Paris-Est, 6 et 8 avenue Blaise Pascal, 77455 Marne-La-Vallée Cedex 2, France;
4 Sorbonne Universités, UPMC Univ. Paris 06, UMR 8234 PHENIX, 75005 Paris, France;
5 ANDRA, Parc de la Croix-Blanche, 1-7, rue Jean-Monnet, 92298 Châtenay-Malabry, France
6 UMPA, UMR-CNRS 5669, ENS Lyon, 46 allée d’Italie, 69007 Lyon, France; 
@article{EP_2015_48_a8,
     author = {Fr\'ed\'eric Legoll and William Minvielle and Ama\"el Obliger and Marielle Simon},
     title = {A parameter identification problem in stochastic homogenization},
     journal = {ESAIM. Proceedings},
     pages = {190--214},
     year = {2015},
     volume = {48},
     doi = {10.1051/proc/201448008},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/201448008/}
}
TY  - JOUR
AU  - Frédéric Legoll
AU  - William Minvielle
AU  - Amaël Obliger
AU  - Marielle Simon
TI  - A parameter identification problem in stochastic homogenization
JO  - ESAIM. Proceedings
PY  - 2015
SP  - 190
EP  - 214
VL  - 48
UR  - http://geodesic.mathdoc.fr/articles/10.1051/proc/201448008/
DO  - 10.1051/proc/201448008
LA  - en
ID  - EP_2015_48_a8
ER  - 
%0 Journal Article
%A Frédéric Legoll
%A William Minvielle
%A Amaël Obliger
%A Marielle Simon
%T A parameter identification problem in stochastic homogenization
%J ESAIM. Proceedings
%D 2015
%P 190-214
%V 48
%U http://geodesic.mathdoc.fr/articles/10.1051/proc/201448008/
%R 10.1051/proc/201448008
%G en
%F EP_2015_48_a8
Frédéric Legoll; William Minvielle; Amaël Obliger; Marielle Simon. A parameter identification problem in stochastic homogenization. ESAIM. Proceedings, Tome 48 (2015), pp. 190-214. doi: 10.1051/proc/201448008

Cité par Sources :