Title: Knowledge extraction to automate CFD analysis in abdominal aneurysm diagnosis and treatment

Authors: Simone Bartesaghi; Giorgio Colombo

Addresses: Dipartimento di Meccanica, Politecnico di Milano, Via G. La Masa, 1, 20156 Milano, Italy ' Dipartimento di Meccanica, Politecnico di Milano, Via G. La Masa, 1, 20156 Milano, Italy

Abstract: In the last few years, advanced simulation tools have been tested in academic researches to evaluate the causes and evolution of abdominal aortic aneurysm (AAA). This study describes the activity of knowledge extraction aimed at automating the CFD analysis of an AAA. A simple benchmark geometry is considered. Knowledge and rules extraction are done by comparing: 2D and 3D CFD solutions, results from Newtonian and non-Newtonian formulations, influence of the prism layer and inlet boundary conditions, and numerical solver schemes. A grid refinement study using the verification and validation approach was done. As a result, finer hexahedral meshes with a prism layer near the vessel walls is necessary to capture the velocity gradient and wall shear stress correctly; a simple Newtonian formulation is enough to capture the fluid flow behaviour. A first step in the validation process is taken through the application of the extracted rules on a real patient's specific geometries.

Keywords: haemodynamics; aneurysm diagnosis; therapy; computational fluid dynamics; automated CFD analysis; knowledge extraction; abdominal aortic aneurysms; aneurysm treatment; velocity gradient; wall shear stress; fluid flow.

DOI: 10.1504/IJITM.2014.060312

International Journal of Information Technology and Management, 2014 Vol.13 No.2/3, pp.176 - 201

Received: 19 Feb 2013
Accepted: 18 Sep 2013
Published online: 10 May 2014 *

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