Numerical Simulation of Focused Wave and Its Uncertainty Analysis

被引:5
|
作者
Bai J. [1 ]
Ma N. [1 ]
Gu X. [1 ]
机构
[1] Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai
基金
中国国家自然科学基金;
关键词
A; focused wave; P; 731; Reynolds averaged Navier-Stokes (RANS) equations; uncertainty analysis; validation; verification;
D O I
10.1007/s12204-018-1970-5
中图分类号
学科分类号
摘要
On the basis of the transient water wave (TWW) theory, focused wave is generated in the circulating water channel. Numerical simulation of the focused wave is carried out by solving the Reynolds averaged Navier-Stokes (RANS) equations. The dynamic grid technique is adopted to simulate the motion of the wave maker, and the volume of fluid (VOF) method is used to capture the free surface of the wave. The simulation results are compared with the measured data, and good agreement is obtained. For quantitative estimation of the numerical simulation error and uncertainty, the uncertainty analysis method recommended by the International Towing Tank Conference (ITTC) procedure is performed for the simulation results of the surface elevations at different positions. Both grid-convergence and time-step-size convergence studies are conducted using three types of grids and time step sizes. The simulation results are all monotonously convergent in the verification procedure, and the validations of the simulated surface elevations with the positions at 3.5, 4.0 and 4.5m are all achieved by comparing with the validation uncertainty. It is found that the numerical simulation errors caused by the grid and time-step-size in the convergence studies have the same order of magnitude. In addition, the numerical errors and uncertainties for the surface elevations at different positions are compared and discussed in detail. This paper presents the first attempt to carry out the uncertainty analysis of the simulation of focused wave, and the effectiveness of the proposed verification and validation procedures in the uncertainty analysis is demonstrated. © 2018, Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:475 / 481
页数:6
相关论文
共 50 条
  • [31] Numerical Analysis and Simulation for a Wave Equation with Dynamical Boundary Control
    Moussa Bzeih
    Toufic El Arwadi
    Ali Wehbe
    Mauro A. Rincon
    Rodrigo L. R. Madureira
    Journal of Scientific Computing, 2021, 87
  • [32] Focused waves and wave-structure interaction in a numerical wave tank
    Westphalen, J.
    Greaves, D. M.
    Williams, C. J. K.
    Hunt-Raby, A. C.
    Zang, J.
    OCEAN ENGINEERING, 2012, 45 : 9 - 21
  • [33] Numerical Simulation of Wave Breaking
    Irisov, Vladimir
    Voronovich, Alexander
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 2011, 41 (02) : 346 - 364
  • [34] Numerical Analysis on Influences of Emergent Vegetation Patch on Runup Processes of Focused Wave Groups
    Qu, Ke
    Lie, Yancheng
    Wang, Xu
    Li, Xiaohan
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (01)
  • [35] Numerical investigations of focused wave interact with a moving cylinder
    Yuan Zhuang
    Fu-chang Zhou
    Wen-jun Zhou
    De-cheng Wan
    Journal of Hydrodynamics, 2023, 35 : 724 - 735
  • [36] Numerical investigations of focused wave interact with a moving cylinder
    Zhuang, Yuan
    Zhou, Fu-chang
    Zhou, Wen-jun
    Wan, De-cheng
    JOURNAL OF HYDRODYNAMICS, 2023, 35 (04) : 724 - 735
  • [37] Efficient numerical simulation method for evaluations of global sensitivity analysis with parameter uncertainty
    Tang, Zhang-Chun
    Lu, Zhenzhou
    Wang, Pan
    Xia, Yanjun
    Yang, Peng
    Wang, Peng
    APPLIED MATHEMATICAL MODELLING, 2016, 40 (01) : 597 - 611
  • [38] Uncertainty Quantification Analysis on Silicon Electrodeposition Process Via Numerical Simulation Methods
    Zheng, Zhuoyuan
    Wang, Pingfeng
    ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 2022, 8 (01):
  • [39] Micro-seismic wave's propagation law and its numerical simulation
    逄焕东
    姜福兴
    林培兰
    International Journal of Coal Science & Technology, 2006, (02) : 40 - 42
  • [40] An efficient numerical simulation method for evaluations of uncertainty analysis and sensitivity analysis of system with mixed uncertainties
    Li, Shun
    Tang, Zhang-Chun
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (10):