Accurate simulations of moving flexible objects with an improved immersed boundary-lattice Boltzmann method

Accurately capturing boundaries is crucial for simulating fluid–structure interaction (FSI) problems involving flexible objects undergoing large deformations. This paper presents a coupling of the immersed boundary-lattice Boltzmann method with a node-based partly smoothed point interpolation method (NPS-PIM) to enhance the accuracy of simulating moving flexible bodies in FSI problems. The proposed method integrates a multiple relaxation time scheme and employs a force correction technique to address boundary capturing inaccuracies. The effect of virtual fluid is accounted for through a Lagrangian point approximation, ensuring precise FSI force calculations for unsteady solid motions. NPS-PIM is utilized as the solid solver, constructing a moderately softened model stiffness by combining the finite element method (FEM) with the node-based smoothed PIM (NS-PIM). Simulations of flow fields near flexible objects with large deformations demonstrate that the proposed approach reduces numerical errors, improves computational efficiency compared to traditional FSI models using FEM and NS-PIM, and accurately captures the behavior of moving flexible bodies and detailed flow fields.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2024-11-01
DOI
https://doi.org/10.1063/5.0234848
Citations
1
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate simulations of moving flexible objects with an improved immersed boundary-lattice Boltzmann method

Guiyong Zhang, Dong Song, Guang Pan, Yunan Cai et al.
1 citations
Physics of Fluids
Lattice Boltzmann Simulation Studies
0.37
article

Accurate simulations of moving flexible objects with an improved immersed boundary-lattice Boltzmann method

Guiyong Zhang, Dong Song, Guang Pan, Yunan Cai, Shuangqiang Wang, Haoran Yan
article en
1 citations

Abstract

Accurately capturing boundaries is crucial for simulating fluid–structure interaction (FSI) problems involving flexible objects undergoing large deformations. This paper presents a coupling of the immersed boundary-lattice Boltzmann method with a node-based partly smoothed point interpolation method (NPS-PIM) to enhance the accuracy of simulating moving flexible bodies in FSI problems. The proposed method integrates a multiple relaxation time scheme and employs a force correction technique to address boundary capturing inaccuracies. The effect of virtual fluid is accounted for through a Lagrangian point approximation, ensuring precise FSI force calculations for unsteady solid motions. NPS-PIM is utilized as the solid solver, constructing a moderately softened model stiffness by combining the finite element method (FEM) with the node-based smoothed PIM (NS-PIM). Simulations of flow fields near flexible objects with large deformations demonstrate that the proposed approach reduces numerical errors, improves computational efficiency compared to traditional FSI models using FEM and NS-PIM, and accurately captures the behavior of moving flexible bodies and detailed flow fields.

Physics of FluidsVol. 36(11)
Commercial Aircraft Corporation of China (China) (CN), Northwestern Polytechnical University (CN), Dalian University of Technology (CN), Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration (CN), Ocean University of China (CN), Ministry of Industry and Information Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 41%
Lattice Boltzmann Simulation Studies
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.