يعرض 1 - 2 نتائج من 2 نتيجة بحث عن '"Robertson, Fergus"', وقت الاستعلام: 0.57s تنقيح النتائج
  1. 1
    دورية

    المصدر: Journal of Computational Science; Jul2015, Vol. 9, p150-155, 6p

    مستخلص: Cerebrovascular diseases such as brain aneurysms are a primary cause of adult disability. The flow dynamics in brain arteries, both during periods of rest and increased activity, are known to be a major factor in the risk of aneurysm formation and rupture. The precise relation is however still an open field of investigation. We present an automated ensemble simulation method for modelling cerebrovascular blood flow under a range of flow regimes. By automatically constructing and performing an ensemble of multiscale simulations, where we unidirectionally couple a 1D solver with a 3D lattice-Boltzmann code, we are able to model the blood flow in a patient artery over a range of flow regimes. We apply the method to a model of a middle cerebral artery, and find that this approach helps us to fine-tune our modelling techniques, and opens up new ways to investigate cerebrovascular flow properties. [ABSTRACT FROM AUTHOR]

    : Copyright of Journal of Computational Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

  2. 2

    المصدر: Itani, M A, Schiller, U D, Schmieschek, S, Hetherington, J, Bernabeu, M O, Chandrashekar, H, Robertson, F, Coveney, P V & Groen, D 2015, ' An automated multiscale ensemble simulation approach for vascular blood flow ', Journal of Computational Science, vol. 9, pp. 150-155 . https://doi.org/10.1016/j.jocs.2015.04.008Test

    الوصف: Cerebrovascular diseases such as brain aneurysms are a primary cause of adult disability. The flow dynamics in brain arteries, both during periods of rest and increased activity, are known to be a major factor in the risk of aneurysm formation and rupture. The precise relation is however still an open field of investigation. We present an automated ensemble simulation method for modelling cerebrovascular blood flow under a range of flow regimes. By automatically constructing and performing an ensemble of multiscale simulations, where we unidirectionally couple a 1D solver with a 3D lattice-Boltzmann code, we are able to model the blood flow in a patient artery over a range of flow regimes. We apply the method to a model of a middle cerebral artery, and find that this approach helps us to fine-tune our modelling techniques, and opens up new ways to investigate cerebrovascular flow properties.
    Journal of Computational Science (in press), 10 pages, 6 figures, 2 tables

    وصف الملف: application/pdf