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Aorta zero-stress state modeling with T-spline discretization

机译:使用 T 样条离散化的主动脉零应力状态建模

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The image-based arterial geometries used in patient-specific arterial fluid-structure interaction (FSI) computations, such as aorta FSI computations, do not come from the zero-stress state (ZSS) of the artery. We propose a method for estimating the ZSS required in the computations. Our estimate is based on T-spline discretization of the arterial wall and is in the form of integration-point-based ZSS (IPBZSS). The method has two main components. (1) An iterative method, which starts with a calculated initial guess, is used for computing the IPBZSS such that when a given pressure load is applied, the image-based target shape is matched. (2) A method, which is based on the shell model of the artery, is used for calculating the initial guess. The T-spline discretization enables dealing with complex arterial geometries, such as an aorta model with branches, while retaining the desirable features of isogeometric discretization. With higher-order basis functions of the isogeometric discretization, we may be able to achieve a similar level of accuracy as with the linear basis functions, but using larger-size and much fewer elements. In addition, the higher-order basis functions allow representation of more complex shapes within an element. The IPBZSS is a convenient representation of the ZSS because with isogeometric discretization, especially with T-spline discretization, specifying conditions at integration points is more straightforward than imposing conditions on control points. Calculating the initial guess based on the shell model of the artery results in a more realistic initial guess. To show how the new ZSS estimation method performs, we first present 3D test computations with a Y-shaped tube. Then we show a 3D computation where the target geometry is coming from medical image of a human aorta, and we include the branches in our model.
机译:患者特定的动脉流固耦合 (FSI) 计算中使用的基于图像的动脉几何形状,例如主动脉 FSI 计算,并非来自动脉的零应力状态 (ZSS)。我们提出了一种估计计算中所需的ZSS的方法。我们的估计基于动脉壁的 T 样条离散化,采用基于积分点的 ZSS (IPBZSS) 的形式。该方法有两个主要组成部分。(1)使用迭代方法,从计算的初始猜测开始,用于计算IPBZSS,以便当施加给定的压力载荷时,匹配基于图像的目标形状。(2)使用基于动脉壳模型的方法计算初始猜测。T 样条离散化能够处理复杂的动脉几何形状,例如带有分支的主动脉模型,同时保留等几何离散化的理想特征。使用等几何离散化的高阶基函数,我们可能能够实现与线性基函数相似的精度水平,但使用更大的尺寸和更少的元素。此外,高阶基函数允许在元素中表示更复杂的形状。IPBZSS 是 ZSS 的一种方便表示,因为对于等几何离散化,尤其是 T 样条离散化,在积分点指定条件比在控制点上施加条件更直接。根据动脉的壳模型计算初始猜测会得到更真实的初始猜测。为了展示新的 ZSS 估计方法的性能,我们首先展示了 Y 形管的 3D 测试计算。然后,我们展示了一个 3D 计算,其中目标几何形状来自人类主动脉的医学图像,并将分支包含在我们的模型中。

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