2017
DOI: 10.1177/0954406217723942
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Benchmark numerical solutions for two-dimensional fluid–structure interaction involving large displacements with the deforming-spatial-domain/stabilized space–time and immersed boundary–lattice Boltzmann methods

Abstract: Body-fitted and Cartesian grid methods are two typical types of numerical approaches used for modelling fluid–structure interaction problems. Despite their extensive applications, there is a lack of comparing the performance of these two types of approaches. In order to do this, the present paper presents benchmark numerical solutions for two two-dimensional fluid–structure interaction problems: flow-induced vibration of a highly flexible plate in an axial flow and a pitching flexible plate. The solutions are … Show more

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Cited by 12 publications
(3 citation statements)
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References 85 publications
(177 reference statements)
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“…The drag coefficient of a flag flapping in uniform flow: (a) 2D flag with data from the study by Xu et al. 125 and (b) 3D flag with data from the earlier studies. 15,227229 IBM: immersed boundary method; DSD/SST: deforming-spatial-domain/stabilized space-time method; 2,3,5,6,219–226 IB-LBM: immersed boundary-lattice Boltzmann method.…”
Section: Fluid–structure–acoustics Interactionmentioning
confidence: 99%
“…The drag coefficient of a flag flapping in uniform flow: (a) 2D flag with data from the study by Xu et al. 125 and (b) 3D flag with data from the earlier studies. 15,227229 IBM: immersed boundary method; DSD/SST: deforming-spatial-domain/stabilized space-time method; 2,3,5,6,219–226 IB-LBM: immersed boundary-lattice Boltzmann method.…”
Section: Fluid–structure–acoustics Interactionmentioning
confidence: 99%
“…此 外, 对于运动边界, 还需要在固体边界发生运动后, 专门处理网格运动甚至重新生成新的贴体网格. 这 样将不可避免地带来巨大的时间开销, 从而大大降 低计算的效率, 而且计算精度也难以保证 [5][6][7][8][9] . 为了使得网格生成过程简化, 有效的解决生 成贴体网格, 网格移动和网格重生等造成的计算 效率降低的问题, Peskin [10] 首先提出了浸入边界 法(Immersed Boundary Method).…”
Section: 引言unclassified
“…In order to reveal the complex TNE effects in the process of compressible fluid flow, the discrete Boltzmann method (DBM) came into being [20][21][22][23][24]. The DBM is a coarse-grained physical model based on the non-equilibrium statistical physics, which is developed from the lattice Boltzmann method [25][26][27][28][29][30]. From the perspective of physical modeling, the DBM is approximately equivalent to a continuous fluid model plus a coarse-grained model describing TNE effects.…”
Section: Introductionmentioning
confidence: 99%