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Modeling 3-D compliant blood flow with FOSLS.

机译:使用FOSLS对3D顺应性血流建模。

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Blood flow in large vessels is typically modeled using the Navier-Stokes equations for the fluid domain and elasticity equations for the vessel wall. As the wall deforms, additional complications are introduced because the shape of the fluid domain changes, necessitating the use of a re-mapping or re-griding process for the fluid region. Typically, this system (fluid, solid, mapping) is solved using an iterative approach in which the fluid, elastic, and mapping equations are solved in series until the iterations converge. We present a new approach based on multilevel minimization of the finite element approximation error using a least-squares (LS) norm. This approach allows for minimization of the error for the entire system or in selected parts. The multilevel LS approach overcomes many shortcomings of standard techniques. Most notably, the computational cost of solving the problem increases linearly with the degrees of freedom and the associated least-squares functional provides an a posteriori error measure. This paper compares the LS finite element approach to other popular numerical methods, specifically, the commercial package CFD-ACE. The focus of the comparison is on accuracy, computational cost, scalability (both parallel and serial), and flexibility. We show that the multilevel LS finite element approach scales optimally (i.e., linearly in serial environments), while the other methods degrade substantially as the problem size increases.
机译:大型血管中的血流通常使用针对流体域的Navier-Stokes方程和针对血管壁的弹性方程建模。当壁变形时,由于流体区域的形状改变而引入了额外的复杂性,从而需要对流体区域使用重新映射或重新网格化处理。通常,使用迭代方法求解该系统(流体,固体,映射),在该迭代方法中,依次求解流体,弹性和映射方程,直到迭代收敛为止。我们提出了一种基于最小二乘(LS)范式的有限元逼近误差的多层最小化的新方法。这种方法可以使整个系统或所选零件中的错误最小化。多层LS方法克服了标准技术的许多缺点。最值得注意的是,解决问题的计算成本随自由度线性增加,并且相关的最小二乘函数提供了后验误差度量。本文将LS有限元方法与其他流行的数值方法(特别是商业软件包CFD-ACE)进行了比较。比较的重点是准确性,计算成本,可伸缩性(并行和串行)以及灵活性。我们表明,多层LS有限元方法可以最佳地缩放比例(即在串行环境中呈线性关系),而其他方法则随着问题规模的增加而大幅降低。

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