scholarly journals Large scale simulation of fluid structure interaction using Lattice Boltzmann methods and the `physics engine'

2008 ◽  
Vol 49 ◽  
pp. 166 ◽  
Author(s):  
Jan Götz ◽  
Christian Feichtinger ◽  
Klaus Iglberger ◽  
Stefan Donath ◽  
Ulrich Rüde
2020 ◽  
Vol 17 (10) ◽  
pp. 2050013
Author(s):  
Fei Jiang ◽  
Kangping Liao ◽  
Kazuki Matsumura ◽  
Junji Ohgi ◽  
Xian Chen

A numerical framework is proposed to couple the finite element (FE) and lattice Boltzmann methods (LBM) for simulating fluid–structure interaction (FSI) problems. The LBM is used as an efficient method for solving the weakly-compressible fluid flows. The corotational FE method for beam elements is used to solve the thin plate deformation. The two methods are coupled via a direct-forcing immersed boundary (IB) method with a sub-iteration scheme. A virtual structure method has been developed to improve the computational accuracy. Validations of the proposed coupling method have been carried out by testing a vortex-induced vibration problem. The numerical results are in good agreement with [Li and Favier (2017), “A non-staggered coupling of finite element and lattice Boltzmann methods via an immersed boundary scheme for fluid-structure interaction,” Comput. Fluids 143, 90–102]. The proposed method does not require heavy linear algebra calculation, which is suitable for parallel computation.


2009 ◽  
Vol 131 (3) ◽  
Author(s):  
Y. W. Kwon ◽  
Jong Chull Jo

New computational techniques were developed for the analysis of fluid-structure interaction. The fluid flow was solved using the newly developed lattice Boltzmann methods, which could solve irregular shape of fluid domains for fluid-structure interaction. To this end, the weighted residual based lattice Boltzmann methods were developed. In particular, both finite element based and element-free based lattice Boltzmann techniques were developed for the fluid domain. Structures were analyzed using either beam or shell elements depending on the nature of the structures. Then, coupled transient fluid flow and structural dynamics were solved one after another for each time step. Numerical examples for both 2D and 3D fluid-structure interaction problems, as well as fluid flow only problems, were presented to demonstrate the developed techniques.


2014 ◽  
Vol 137 (2) ◽  
Author(s):  
S. R. Blair ◽  
Y. W. Kwon

The use of lattice Boltzmann methods (LBMs) for fluid flow and its coupling with finite element method (FEM) structural models for fluid–structure interaction (FSI) are investigated. FSI modeling methodology and example applications are presented for single-component flows. Furthermore, multicomponent LBM fluid models are also studied with structural dynamics solvers for 2D FSI simulations. To enhance modeling capability for domains with complex surfaces, a novel coupling method is introduced that allows use of both classical LBM (CLBM) and a finite element LBM (FELBM) to be combined into a hybrid LBM (HLBM) that exploits the flexibility of FELBM while retaining the efficiency of CLBM.


2016 ◽  
Vol 08 (08) ◽  
pp. 1650095 ◽  
Author(s):  
H. Devaraj ◽  
Kean C. Aw ◽  
E. Haemmerle ◽  
R. Sharma

3D printed hair-like micro-structures have been previously demonstrated in a novel micro-fluidic flow sensor aimed at sensing air flows down to rates of a few milliliters per second. However, there is a lack of in-depth understanding of the structural response of these ‘micro-hairs' under a fluid flow field. This paper demonstrates the use of lattice Boltzmann methods (LBM) to understand this structural response towards a better optimization of the micro-hair flow sensors designed to suit the end applications' needs. The LBM approach was chosen as an efficient alternative to simulate Navier–Stokes equations for modeling fluid flow around complex geometries primarily for improved accuracy and simplicity with lesser computational costs. As the spatial dimensions of the sensor's flow channel are much larger in comparison to the actual micro-hairs (the sensing element), a multidimensional approach of combining two-dimensional (D2Q9) and three-dimensional (D3Q19) lattice configurations were implemented for improved computational speeds and efficiency. The drag force on the micro-hairs was estimated using the momentum-exchange method in the D3Q19 configuration and this drag force is transferred to the structural analysis model which determines the micro-hair deformation using Euler–Bernoulli beam theory. The entirety of the LBM Fluid–Structure Interaction (FSI) model was implemented within MATLAB and the obtained results are compared against the numerical model implemented on a commercially available software package.


Author(s):  
Oded Gottlieb ◽  
Michael Feldman ◽  
Solomon C. S. Yim

Abstract Analysis of a nonlinear friction damping mechanism in a fluid-structure interaction system is performed by combining a generalized averaging procedure with a recently developed identification algorithm based on the Hilbert transform. The system considered includes a nonlinear restoring force and a nonlinear dissipation force incorporating both viscous and structural damping. Frequency and damping response backbone curves obtained from simulated data are compared with analytical and approximate solutions and are found to be accurate. An example large scale experiment exhibiting viscous and Coulomb damping is also analyzed resulting in identification of system parameters.


Sign in / Sign up

Export Citation Format

Share Document