A block-based adaptive particle refinement SPH method for fluid-structure interaction problems

被引:16
作者
Gao, Tianrun [1 ]
Qiu, Huihe [1 ]
Fu, Lin [1 ,2 ,3 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[3] Hong Kong Univ Sci & Technol, Shenzhen Res Inst, Shenzhen, Peoples R China
关键词
Smoothed particle hydrodynamics; Fluid-structure interaction; Multi -resolution method; Adaptive refinement method; TRANSPORT-VELOCITY FORMULATION; NUMERICAL-SIMULATION; COUPLED METHOD; WATER ENTRY; HYDRODYNAMICS; ACCURACY; CONSERVATION; IMPROVEMENTS; STABILITY; ALGORITHM;
D O I
10.1016/j.cma.2022.115356
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The multi-resolution method, e.g., the Adaptive Particle Refinement (APR) method, has been developed to increase the local particle resolution and therefore the solution quality within a pre-defined refinement zone instead of using a globally uniform resolution for Smoothed Particle Hydrodynamics (SPH). However, sometimes, the targeted zone of interest can be varying, and the corresponding topology is very complex, thus the conventional APR method is not able to track these characteristics adaptively. In this study, a novel Block-based Adaptive Particle Refinement (BAPR) method is developed, which is able to provide the necessary local refinement flexibly for any targeted characteristic, and track it adaptively. In BAPR, the so-called activation status of the block array defines the refinement regions, where the transition and activated zones are determined accordingly. A regularization method for the generated particles in the newly activated blocks is developed to render an isotropic distribution of these new particles. The proposed method has been deployed for simulating Fluid-Structure Interaction
引用
收藏
页数:32
相关论文
共 73 条
[1]   A transport-velocity formulation for smoothed particle hydrodynamics [J].
Adami, S. ;
Hu, X. Y. ;
Adams, N. A. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2013, 241 :292-307
[2]   A generalized wall boundary condition for smoothed particle hydrodynamics [J].
Adami, S. ;
Hu, X. Y. ;
Adams, N. A. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2012, 231 (21) :7057-7075
[3]   Numerical simulation of fluid-structure interaction by SPH [J].
Antoci, Carla ;
Gallati, Mario ;
Sibilla, Stefano .
COMPUTERS & STRUCTURES, 2007, 85 (11-14) :879-890
[4]   The δ-ALE-SPH model: An arbitrary Lagrangian-Eulerian framework for the δ-SPH model with particle shifting technique [J].
Antuono, M. ;
Sun, P. N. ;
Marrone, S. ;
Colagrossi, A. .
COMPUTERS & FLUIDS, 2021, 216
[5]   Free-surface flows solved by means of SPH schemes with numerical diffusive terms [J].
Antuono, M. ;
Colagrossi, A. ;
Marrone, S. ;
Molteni, D. .
COMPUTER PHYSICS COMMUNICATIONS, 2010, 181 (03) :532-549
[6]   Adaptive particle refinement and derefinement applied to the smoothed particle hydrodynamics method [J].
Barcarolo, D. A. ;
Le Touze, D. ;
Oger, G. ;
de Vuyst, F. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 273 :640-657
[7]   Benchmarking a Coupled Immersed-Boundary-Finite-Element Solver for Large-Scale Flow-Induced Deformation [J].
Bhardwaj, Rajneesh ;
Mittal, Rajat .
AIAA JOURNAL, 2012, 50 (07) :1638-1642
[8]   Nonlinear water wave interaction with floating bodies in SPH [J].
Bouscasse, B. ;
Colagrossi, A. ;
Marrone, S. ;
Antuono, M. .
JOURNAL OF FLUIDS AND STRUCTURES, 2013, 42 :112-129
[9]   An investigation into the pressure on solid walls in 2D sloshing using SPH method [J].
Chen, Z. ;
Zong, Z. ;
Li, H. T. ;
Li, J. .
OCEAN ENGINEERING, 2013, 59 :129-141
[10]   Analysis and improvements of Adaptive Particle Refinement (APR) through CPU time, accuracy and robustness considerations [J].
Chiron, L. ;
Oger, G. ;
de Leffe, M. ;
Le Touze, D. .
JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 354 :552-575