Investigation of Numerical Conditions of Moving Particle Semi-implicit for Two-Dimensional Wedge Slamming

被引:0
|
作者
Takahito Iida
Yudai Yokoyama
机构
[1] Osaka University,Department of Naval Architecture & Ocean Engineering, Graduate School of Engineering
关键词
Wedge slamming; Moving particle semi-implicit; MPS-slamming condition; Numerical condition; Wagner’s theory; Computational fluid dynamics;
D O I
暂无
中图分类号
学科分类号
摘要
The sensitivity of moving particle semi-implicit (MPS) simulations to numerical parameters is investigated in this study. Although the verification and validation (V&V) are important to ensure accurate numerical results, the MPS has poor performance in convergences with a time step size. Therefore, users of the MPS need to tune numerical parameters to fit results into benchmarks. However, such tuning parameters are not always valid for other simulations. We propose a practical numerical condition for the MPS simulation of a two-dimensional wedge slamming problem (i.e., an MPS-slamming condition). The MPS-slamming condition is represented by an MPS-slamming number, which provides the optimum time step size once the MPS-slamming number, slamming velocity, deadrise angle of the wedge, and particle size are decided. The simulation study shows that the MPS results can be characterized by the proposed MPS-slamming condition, and the use of the same MPS-slamming number provides a similar flow.
引用
收藏
页码:585 / 594
页数:9
相关论文
共 50 条
  • [21] Solving 2-D Slamming Problems by an Improved Higher-Order Moving Particle Semi-Implicit Method
    Zha, Ruosi
    Peng, Heather
    Qiu, Wei
    [J]. JOURNAL OF SHIP RESEARCH, 2021, 65 (03): : 194 - 222
  • [22] An improved moving particle semi-implicit method for interfacial flows
    Wen, Xiao
    Zhao, Weiwen
    Wan, Decheng
    [J]. APPLIED OCEAN RESEARCH, 2021, 117
  • [23] Enhancement of stability and accuracy of the moving particle semi-implicit method
    Khayyer, Abbas
    Gotoh, Hitoshi
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (08) : 3093 - 3118
  • [24] DEVELOPMENT OF LEAST SQUARES MOVING PARTICLE SEMI-IMPLICIT METHOD
    Tamai, Tasuku
    Shibata, Kazuya
    Koshizuka, Seiichi
    [J]. PARTICLE-BASED METHODS III: FUNDAMENTALS AND APPLICATIONS, 2013, : 840 - 851
  • [25] Improved pressure calculation for the moving particle semi-implicit method
    Shibata, Kazuya
    Masaie, Issei
    Kondo, Masahiro
    Murotani, Kohei
    Koshizuka, Seiichi
    [J]. COMPUTATIONAL PARTICLE MECHANICS, 2015, 2 (01) : 91 - 108
  • [26] Improved pressure calculation for the moving particle semi-implicit method
    Kazuya Shibata
    Issei Masaie
    Masahiro Kondo
    Kohei Murotani
    Seiichi Koshizuka
    [J]. Computational Particle Mechanics, 2015, 2 : 91 - 108
  • [27] Erratum to: Least squares moving particle semi-implicit method
    Tasuku Tamai
    Seiichi Koshizuka
    [J]. Computational Particle Mechanics, 2014, 1 : 441 - 441
  • [28] GPU-acceleration for Moving Particle Semi-Implicit method
    Hori, Chiemi
    Gotoh, Hitoshi
    Ikari, Hiroyuki
    Khayyer, Abbas
    [J]. COMPUTERS & FLUIDS, 2011, 51 (01) : 174 - 183
  • [29] Comparison of parallel solvers for Moving Particle Semi-Implicit method
    Duan, Guangtao
    Chen, Bin
    [J]. ENGINEERING COMPUTATIONS, 2015, 32 (03) : 834 - 862
  • [30] Numerical simulation of ball bearing flow field using the moving particle semi-implicit method
    Wu, Wei
    Wei, Chunhui
    Yuan, Shihua
    [J]. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2022, 16 (01) : 215 - 228