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Simulation of physiological flows PDF
By:Alejandro Roldán-Alzate,The University of Wisconsin - Madison
Published on 2008 by ProQuest


Recent improvements in numerical methods have resulted in significant breakthroughs in the analysis of physiological flows. However, these methods, for the most part, require domain discretization and therefore cannot represent the complexity of the moving and deforming boundaries present in these physiological systems without extraordinarily high computational costs. As a result, simplifying assumptions are typically made which introduce error into the simulations. In this project, the Boundary Element Method (BEM), which does not require domain discretization, and the Radial Functions Method (RFM), which is a mesh-less technique, are used to address these limitations and therefore model flows in complex anatomical regions. While the BEM enables an accurate representation of the surfaces and boundaries, it is not very well suited for flows with high inertial effects or non-Newtonian behavior of the fluid. On the other hand, early results have shown that RFM accurately represents non-linear effects such as high inertial and convective effects as well as non-Newtonian flow behavior, while compromising somewhat the accuracy of applied boundary conditions. In this project numerical techniques for investigating flows through complex anatomical geometries are studied and developed. Two physiological flows that cover a wide range of inertial effects---blood flow through prosthetic heart valves and cerebrospinal fluid (CSF) flow within the spinal canal---have been chosen to apply the numerical techniques. Results have been obtained for velocities and pressures for blood flow through three different geometric models of prosthetic heart valves. Residence time distributions for massless platelets flowing through each of these valve models has also been obtained. Results have also been obtained using BEM to model CSF flow patterns in patientspecigic geometries based on magnetic resonance (MR) images. In this work, a method is presented to generate the computational domain for CSF flow from high resolution 3D MR acquisition. Ultimately, this work may aid medical personnel to determine boundary conditions using medical imaging techniques to simulate patient specific flow situations. Because of their mesh-less character, both BEM and RFM are particularly suited for patient-specific numerical analysis and diagnostics.

This Book was ranked at 23 by Google Books for keyword Physiology.

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Download Simulation of physiological flows PDF Free

Download Simulation of physiological flows Books Free

Download Simulation of physiological flows Free

Download Simulation of physiological flows PDF

Download Simulation of physiological flows Books

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