Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty
Lassila, Toni ; Manzoni, Andrea ; Quarteroni, Alfio ; Rozza, Gianluigi
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 47 (2013), p. 1107-1131 / Harvested from Numdam

We review the optimal design of an arterial bypass graft following either a (i) boundary optimal control approach, or a (ii) shape optimization formulation. The main focus is quantifying and treating the uncertainty in the residual flow when the hosting artery is not completely occluded, for which the worst-case in terms of recirculation effects is inferred to correspond to a strong orifice flow through near-complete occlusion.A worst-case optimal control approach is applied to the steady Navier-Stokes equations in 2D to identify an anastomosis angle and a cuffed shape that are robust with respect to a possible range of residual flows. We also consider a reduced order modelling framework based on reduced basis methods in order to make the robust design problem computationally feasible. The results obtained in 2D are compared with simulations in a 3D geometry but without model reduction or the robust framework.

Publié le : 2013-01-01
DOI : https://doi.org/10.1051/m2an/2012059
Classification:  35Q93,  49Q10,  76D05
@article{M2AN_2013__47_4_1107_0,
     author = {Lassila, Toni and Manzoni, Andrea and Quarteroni, Alfio and Rozza, Gianluigi},
     title = {Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Mod\'elisation Math\'ematique et Analyse Num\'erique},
     volume = {47},
     year = {2013},
     pages = {1107-1131},
     doi = {10.1051/m2an/2012059},
     mrnumber = {3082291},
     language = {en},
     url = {http://dml.mathdoc.fr/item/M2AN_2013__47_4_1107_0}
}
Lassila, Toni; Manzoni, Andrea; Quarteroni, Alfio; Rozza, Gianluigi. Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty. ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 47 (2013) pp. 1107-1131. doi : 10.1051/m2an/2012059. http://gdmltest.u-ga.fr/item/M2AN_2013__47_4_1107_0/

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