000179382 001__ 179382
000179382 005__ 20180317092449.0
000179382 037__ $$aBOOK_CHAP
000179382 245__ $$aReduction strategies for shape dependent inverse problems in haemodynamics
000179382 269__ $$a2012
000179382 260__ $$aHeildeberg$$bSpringer$$c2012
000179382 336__ $$aBook Chapters
000179382 490__ $$aIFIP AICT$$v391
000179382 500__ $$aEPFL MATHICSE Report 09.2012
000179382 520__ $$aThis work deals with the development and application of reduction strategies for real-time and many query problems arising in fluid dynamics, such as shape optimization, shape registration (reconstruction), and shape parametrization. The proposed strategy is based on the coupling between reduced basis methods for the reduction of computational complexity and suitable shape parametrizations - such as free-form deformations or radial basis functions - for low-dimensional geometrical description. Our focus is on problems arising in haemodynamics: efficient shape parametrization of cardiovascular geometries (e.g. bypass grafts, carotid artery bifurcation, stenosed artery sections) for the rapid blood flow simulation - and related output evaluation - in domains of variable shape (e.g. vessels in presence of growing stenosis) provide an example of a class of problems which can be recast in the real-time or in the many- query context.
000179382 6531_ $$aModel order reduction
000179382 6531_ $$acomputational  fluid dynamics
000179382 6531_ $$afree-form deformation
000179382 6531_ $$aradial basis functions
000179382 6531_ $$areduced basis methods
000179382 6531_ $$ashape parametrization
000179382 6531_ $$ablood  flows
000179382 700__ $$0244929$$aLassila, Toni Mikael$$g188862
000179382 700__ $$0242881$$aManzoni, Andrea$$g190484
000179382 700__ $$0240712$$aRozza, Gianluigi$$g149443
000179382 720_1 $$aHomberg, Dietmar$$eed.
000179382 720_1 $$aTrolzsch, Fredi$$eed.
000179382 773__ $$q397-406$$tSystem Modelling and Optimization
000179382 8564_ $$uhttp://mathicse.epfl.ch/page-68906-en.html$$zURL
000179382 8564_ $$s483056$$uhttps://infoscience.epfl.ch/record/179382/files/IFIP_MLR_rev.pdf$$yn/a$$zn/a
000179382 909CO $$ooai:infoscience.tind.io:179382$$pchapter$$pSB
000179382 909C0 $$0252102$$pCMCS$$xU10797
000179382 917Z8 $$x149443
000179382 917Z8 $$x149443
000179382 937__ $$aEPFL-CHAPTER-179382
000179382 973__ $$aEPFL$$sPUBLISHED
000179382 980__ $$aCHAPTER