Pulse Wave Propagation in Large Blood Vessels Based on Fluid- Solid Interactions Methods
- Authors: Tomohiro Fukui1, Kim H. Parker2, Takami Yamaguchi3
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View Affiliations Hide Affiliations1 Department of Mechanical and System Engineering, Kyoto Institute of Technology, Gosyokaido cho, Matsugasaki, Sakyo-ku, Kyoto 606-8585, Japan, Japan 2 Physiolosical Flow Studies Group, Department of Bioengineering, Imperial College, London, SW7 2AZ, UK 3 Department of Biomedical Engineering, Graduate School of Biomedical Engineering, Tohoku University, 6-6-01 Aoba-yama, Sendai 980-8579, Japan
- Source: Single and Two-Phase Flows on Chemical and Biomedical Engineering , pp 460-471
- Publication Date: July 2012
- Language: English
Pulse Wave Propagation in Large Blood Vessels Based on Fluid- Solid Interactions Methods, Page 1 of 1
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Pulse Wave Velocity (PWV) is recognized by clinicians as an index of mechanical properties of human blood vessels. This concept is based on the Moens- Korteweg equation, which describes the PWV in ideal elastic tubes. However, measured PWV of real human blood vessels cannot be always interpreted by the Moens-Korteweg equation because this formula is not precisely applicable to living blood vessels. It is important to understand the wave propagation in blood vessels for a more reliable diagnosis of vascular disease. In this study, we modeled uniform arteries in a threedimensional coupled fluid-solid interaction computational scheme, and analyzed the pulse wave propagation. A commercial code (Radioss, Altair Engineering) was used to solve the fluid-solid interactions. We compared the regional PWV values obtained from various computational models with those from the Moens-Korteweg equation, and discuss the accuracy of our computation. The PWV values from the thick-walled artery model are lower than those from the Moens-Korteweg equation. Nevertheless, the differences are less than 7% up to 12 m/s of the PWV, indicating these computational methods for the PWV analysis are accurate enough to evaluate its value quantitatively.
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