期刊
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
卷 28, 期 4, 页码 434-455出版社
WILEY
DOI: 10.1002/cnm.1476
关键词
inverse problem; fluid-structure interaction; reduced-order unscented Kalman filter; arterial stiffness estimation
类别
资金
- European Community [224495]
We present a robust and computationally efficient parameter estimation strategy for fluidstructure interaction problems. The method is based on a filtering algorithm restricted to the parameter space, known as the reduced-order unscented Kalman filter. It does not require any adjoint or tangent problems. In addition, it can easily be run in parallel, which is of great interest in fluidstructure problems where the computational cost of the forward simulation is already a challenge in itself. We illustrate our methodology with the estimation of the artery wall stiffness from the wall displacement measurements as they could be extracted from medical imaging in a three-dimensional idealized abdominal aortic aneurysm. We also show preliminary results about the estimation of the proximal Windkessel resistance, which is an important parameter for setting appropriate fluid boundary conditions. Copyright (c) 2011 John Wiley & Sons, Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据