EconPapers    
Economics at your fingertips  
 

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

Simone Bartesaghi and Giorgio Colombo

International Journal of Information Technology and Management, 2014, vol. 13, issue 2/3, 176-201

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. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=60312 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijitma:v:13:y:2014:i:2/3:p:176-201

Access Statistics for this article

More articles in International Journal of Information Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijitma:v:13:y:2014:i:2/3:p:176-201