Level-set based pre-processing techniques for particle methods

被引:12
|
作者
Yu, Yongchuan [1 ]
Zhu, Yujie [2 ,3 ]
Zhang, Chi [2 ]
Haidn, Oskar J. [1 ]
Hu, Xiangyu [2 ]
机构
[1] Tech Univ Munich, Chair Space Prop & Mobil, D-85521 Ottobrunn, Germany
[2] Tech Univ Munich, Chair Aerodynam & Fluid Mech, D-85748 Garching, Germany
[3] Xian Res Inst High Tech, Xian 710025, Peoples R China
关键词
Particle methods; 'Dirty' geometry cleaning; Level-set; Static confinement; Kernel support completing; TRANSPORT-VELOCITY FORMULATION; SCALE SEPARATION; GHOST PARTICLES; SPH; FLOWS; ALGORITHM; BOUNDARY; MODEL;
D O I
10.1016/j.cpc.2023.108744
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Obtaining high-quality particle distribution representing clean geometry in pre-processing is essential for accurate and stable simulation with particle methods. In this paper, several level-set-based techniques for cleaning up 'dirty' geometry automatically and generating isotropic particle distribution are presented. First, under a given resolution, an identification method for non-resolved structures based on a level -set field is employed to detect the tiny fragments which dirty the geometry. Second, a re-distance algorithm is proposed to remove these fragments and reconstruct clean, smooth geometries. Third, a 'static confinement' boundary condition is developed for particle relaxation. By complementing the kernel support for the near-surface particles, the boundary condition achieves improved body-fitted particle distribution near the highly-curved or narrow region. Several numerical examples are given to demonstrate the efficient cleanup capabilities of the present method as well as the improvement of body-fitted particle distribution for complex geometries. In addition, numerical simulations have been carried out for the fluid-structure interaction (FSI) of an elastic airfoil NACA6412 at various resolutions to show that, when the unresolved structures affect or even fail the simulation, the cleaned geometry and improved particle distribution help to stabilize and smooth the simulations.(c) 2023 Published by Elsevier B.V.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection
    Peeters, Cedric
    Guillaume, Patrick
    Helsen, Jan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 91 : 354 - 381
  • [42] A perturbation view of level-set methods for convex optimization
    Estrin, Ron
    Friedlander, Michael P.
    OPTIMIZATION LETTERS, 2020, 14 (08) : 1989 - 2006
  • [43] Radial basis functions collocation methods for model based level-set segmentation
    Gelas, A.
    Schaerer, J.
    Bernard, O.
    Friboulet, D.
    Clarysse, P.
    Magnin, I. E.
    Prost, R.
    2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 801 - 804
  • [44] An improved pre-processing method for somooth particle hydrodynamics
    Lei Juan-Mian
    Huang Can
    ACTA PHYSICA SINICA, 2014, 63 (14)
  • [45] Quantitative Analysis of Pre-processing Techniques for Tumour Detection
    Kuriakose, Nimi Mary
    Salgaonkar, Antakshari
    Marriappan, Ambika
    Malhan, Nikit Singh
    Marchon, Niyan
    2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (ICIP), 2015, : 485 - 490
  • [46] Visualization Techniques on the Examination Timetabling Pre-processing Data
    Thomas, J. Joshua
    Khader, Ahamad Tajudin
    Belaton, Bahari
    PROCEEDINGS OF THE 2009 SIXTH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION, 2009, : 454 - 458
  • [47] A LEVEL-SET METHOD FOR MULTI-SPECIES PARTICLE DEPOSITION
    Yap, Y. F.
    Vargas, F. M.
    Chai, J. C.
    PROCEEDINGS OF THE ASME SUMMER HEAT TRANSFER CONFERENCE - 2013, VOL 3, 2014,
  • [48] Pre-processing techniques for resource allocation in the heterogeneous case
    Valls, V
    Perez, MA
    Quintanilla, MS
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 107 (02) : 470 - 491
  • [49] A Comparison of Pre-processing Techniques for Twitter Sentiment Analysis
    Effrosynidis, Dimitrios
    Symeonidis, Symeon
    Arampatzis, Avi
    RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES (TPDL 2017), 2017, 10450 : 394 - 406
  • [50] Pre-processing techniques to enhance the classification of lung sounds based on deep learning
    Fava, Alessandra
    Dianat, Behnood
    Bertacchini, Alessandro
    Manfredi, Andreina
    Sebastiani, Marco
    Modena, Marco
    Pancaldi, Fabrizio
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 92