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Effects of wall condition on flow distributions in arterial modeling: comparison of rigid, dynamic, and compliant walls

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Abstract

Blood flow distributions were evaluated using various computational strategies. Three commonly used wall conditions in arterial modeling were employed, namely rigid, dynamic and compliant walls. The results show that the velocity distributions are similar under rigid and dynamic walls, developing into the Poiseuille flow, but they are blunt under compliant walls. The peak pressure under rigid walls is highest, but the model of dynamic walls has a good approximation of pressure against the model of compliant walls. The results indicate that a model of compliant walls appears to be a computationally and reasonably accurate approximation of blood velocity distributions compared with the analysis under rigid or dynamic walls. Introducing fluid-structure interaction into arterial modeling is necessary to ensure reliable results and information. However, a model of dynamic walls seems to be a computationally inexpensive yet reasonably accurate approximation for pressure.

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Authors and Affiliations

  1. Department of Mechanics, School of Science, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China

    Fan He

  2. Key Laboratory of Clinical Trial Research in Cardiovascular Drugs, Ministry of Health, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China

    Lu Hua & Li-jian Gao

Authors
  1. Fan He
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  2. Lu Hua
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  3. Li-jian Gao
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Correspondence to Fan He.

Additional information

Fan He received his Ph.D. degree from Beijing University of Technology, China, in 2011. Since then, he has been an assistant professor at Beijing University of Civil Engineering and Architecture. His research focuses on Biomechanics.

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He, F., Hua, L. & Gao, Lj. Effects of wall condition on flow distributions in arterial modeling: comparison of rigid, dynamic, and compliant walls. J Mech Sci Technol 30, 1471–1475 (2016). https://doi.org/10.1007/s12206-016-0254-y

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  • DOI: https://doi.org/10.1007/s12206-016-0254-y

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