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三维复杂悬浮液和生物游动的欧拉模拟。

Eulerian simulation of complex suspensions and biolocomotion in three dimensions.

机构信息

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138;

出版信息

Proc Natl Acad Sci U S A. 2022 Jan 4;119(1). doi: 10.1073/pnas.2105338118.

Abstract

We present a numerical method specifically designed for simulating three-dimensional fluid-structure interaction (FSI) problems based on the reference map technique (RMT). The RMT is a fully Eulerian FSI numerical method that allows fluids and large-deformation elastic solids to be represented on a single fixed computational grid. This eliminates the need for meshing complex geometries typical in other FSI approaches and greatly simplifies the coupling between fluid and solids. We develop a three-dimensional implementation of the RMT, parallelized using the distributed memory paradigm, to simulate incompressible FSI with neo-Hookean solids. As part of our method, we develop a field extrapolation scheme that works efficiently in parallel. Through representative examples, we demonstrate the method's suitability in investigating many-body and active systems, as well as its accuracy and convergence. The examples include settling of a mixture of heavy and buoyant soft ellipsoids, lid-driven cavity flow containing a soft sphere, and swimmers actuated via active stress.

摘要

我们提出了一种专门设计的数值方法,基于参考映射技术(RMT)来模拟三维流固耦合(FSI)问题。RMT 是一种完全欧拉的 FSI 数值方法,允许在单个固定计算网格上表示流体和大变形弹性固体。这消除了在其他 FSI 方法中典型的对复杂几何形状进行网格划分的需要,并大大简化了流体和固体之间的耦合。我们开发了 RMT 的三维实现,使用分布式内存范例进行并行化,以模拟具有 neo-Hookean 固体的不可压缩 FSI。作为我们方法的一部分,我们开发了一种在并行环境下高效工作的场外推方案。通过代表性的例子,我们展示了该方法在研究多体和主动系统方面的适用性,以及其准确性和收敛性。这些例子包括重质和浮力软椭球体混合物的沉降、含有软球体的驱动盖腔流以及通过主动应力驱动的游泳者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0abe/8740574/a13deba10aea/pnas.2105338118fig01.jpg

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