Multi-objective shape optimization of the human carotid artery
Multi-objective shape optimization of the human carotid artery
A statistical analysis is performed on the key geometric parameters that influence hemodynamics in the human carotid artery bifurcation. A parametric CAD model of the bifurcation is used to automatically construct a range of different geometries. A design of experiments (DoE) approach is employed to generate a set of candidate geometries for flow analysis using an unsteady three dimensional Navier–Stokes solver. The values of the integral of negative average
shear stress (INASS) and the maximal average shear stress (MASS) corresponding to these geometries are then used to construct a Bayesian surrogate model. A shape optimization problem is proposed using the surrogate model which predicts arterial geometries having minimal INASS and MASS.
0080444806
1310-1314
Kolachalama, V.B.
51a2928a-0001-47b7-b847-a2c3835aecbf
Bressloff, N.W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Nair, P.B.
d4d61705-bc97-478e-9e11-bcef6683afe7
2005
Kolachalama, V.B.
51a2928a-0001-47b7-b847-a2c3835aecbf
Bressloff, N.W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Nair, P.B.
d4d61705-bc97-478e-9e11-bcef6683afe7
Kolachalama, V.B., Bressloff, N.W. and Nair, P.B.
(2005)
Multi-objective shape optimization of the human carotid artery.
Bathe, K.J.
(ed.)
In Computational Fluid and Solid Mechanics 2005: Proceedings, Third MIT Conference on Computational Fluid and Solid Mechanics, June 14-17 2005.
Elsevier.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A statistical analysis is performed on the key geometric parameters that influence hemodynamics in the human carotid artery bifurcation. A parametric CAD model of the bifurcation is used to automatically construct a range of different geometries. A design of experiments (DoE) approach is employed to generate a set of candidate geometries for flow analysis using an unsteady three dimensional Navier–Stokes solver. The values of the integral of negative average
shear stress (INASS) and the maximal average shear stress (MASS) corresponding to these geometries are then used to construct a Bayesian surrogate model. A shape optimization problem is proposed using the surrogate model which predicts arterial geometries having minimal INASS and MASS.
This record has no associated files available for download.
More information
Published date: 2005
Venue - Dates:
Third MIT Conference on Computational Fluid and Solid Mechanics, Cambridge, USA, 2005-06-14 - 2005-06-17
Identifiers
Local EPrints ID: 26867
URI: http://eprints.soton.ac.uk/id/eprint/26867
ISBN: 0080444806
PURE UUID: 3e0fab7d-90a8-4150-a083-b5e3e4c09998
Catalogue record
Date deposited: 24 Apr 2006
Last modified: 04 Jan 2024 04:26
Export record
Contributors
Author:
V.B. Kolachalama
Author:
P.B. Nair
Editor:
K.J. Bathe
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics