A Nodal Immersed Finite Element-Finite Difference Method

نویسندگان

چکیده

The immersed finite element-finite difference (IFED) method is a computational approach to modeling interactions between fluid and an structure. This uses element (FE) approximate the stresses forces on structural mesh (FD) momentum of entire fluid-structure system Cartesian grid. fundamental used by this follows boundary framework for interaction (FSI), in which force spreading operator prolongs grid, velocity interpolation restricts field defined that grid back onto mesh. Force both require projecting data space. Consequently, evaluating either coupling requires solving matrix equation at every time step. Mass lumping, projection matrices are replaced diagonal approximations, has potential accelerate considerably. Constructing operators also determining locations structure where velocities sampled. Here we show sampling nodes equivalent using lumped mass operators. A key theoretical result our analysis if these approaches together, IFED permits use derived from nodal quadrature rules any standard interpolatory element. different FE methods, specialized treatments accommodate lumping with higher-order shape functions. Our results confirmed numerical benchmarks, including solid mechanics tests examination dynamic model bioprosthetic heart valve.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hybrid finite difference/finite element immersed boundary method

The immersed boundary method is an approach to fluid-structure interaction that uses a Lagrangian description of the structural deformations, stresses, and forces along with an Eulerian description of the momentum, viscosity, and incompressibility of the fluid-structure system. The original immersed boundary methods described immersed elastic structures using systems of flexible fibers, and eve...

متن کامل

Hybrid finite difference/finite element version of the immersed boundary method

The immersed boundary (IB) method is a framework for modeling systems in which an elastic structure is immersed in a viscous incompressible fluid. The IB formulation of such problems describes the elasticity of the structure in Lagrangian form and describes the momentum, viscosity, and incompressibility of the fluid-structure system in Eulerian form. Interactions between Lagrangian and Eulerian...

متن کامل

A finite element approach to the immersed boundary method

The immersed boundary method was introduced by Peskin in [31] to study the blood flow in the heart and further applied to many situations where a fluid interacts with an elastic structure. The basic idea is to consider the structure as a part of the fluid where additional forces are applied and additional mass is localized. The forces exerted by the structure on the fluid are taken into account...

متن کامل

Non-overlapping Domain Decomposition Method and Nodal Finite Element Method

The non-overlapping domain decomposition method is an efficient approach for solving time harmonic scattering wave problems. It is used here to reduce large size systems solution to that of several systems of small size and to construct efficient procedures to couple finite element and boundary element methods. The lack of a satisfactory treatment of the so-called cross-points, nodes being shar...

متن کامل

An unstructured immersed finite element method for nonlinear solid mechanics

We present an immersed finite element technique for boundary-value and interface problems from nonlinear solid mechanics. Its key features are the implicit representation of domain boundaries and interfaces, the use of Nitsche’s method for the incorporation of boundary conditions, accurate numerical integration based on marching tetrahedrons and cut-element stabilisation by means of extrapolati...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Social Science Research Network

سال: 2022

ISSN: ['1556-5068']

DOI: https://doi.org/10.2139/ssrn.4048795