Analysis of wave-induced vertical ship responses by Hilbert-Huang transform method

被引:8
|
作者
Veltcheva, Albena [1 ]
Soares, C. Guedes [1 ]
机构
[1] Univ Lisbon, Ctr Marine Technol & Engn CENTEC, Inst Super Tecn, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
关键词
Sea waves; Heave motion; Pitch motion; Vertical bending moment; Intrinsic mode functions; Hilbert Huang transform method; EMPIRICAL MODE DECOMPOSITION; NONLINEAR WATER-WAVES; RELIABILITY-ANALYSIS; CHEMICAL TANKER; LOADS; IDENTIFICATION; CONTAINERSHIP; MOTIONS; ROLL;
D O I
10.1016/j.oceaneng.2022.113533
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Time series of wave-induced ship responses are analysed by the Hilbert-Huang Transform (HHT) method. The results of the analysis of numerically simulated motions and loads on a chemical tanker in head waves are compared with the analysis of experimental data from laboratory model tests. The Empirical Mode Decompo-sition, which is a first part of HHT method is applied to the sea surface elevations of two sea states (high and low seas) and the wave-induced vertical motions and bending moments and the results are discussed. It is found that the decomposition of the experimental data into intrinsic components compares well with the decomposition of the numerically simulated ones for both high and low seas. The first two or three intrinsic mode functions carry the major part of the energy of both experimental and numerical simulated data. The time-frequency distribution of energy, called Hilbert spectrum, is calculated by the second part of HHT method. The Hilbert spectrum of the sea surface elevation is compared with Hilbert spectrum of wave-induced ship motions and moments in an attempt to study the time-frequency characteristics of ship response. The results of the present work provide confidence in the usage of numerical simulation data for the decomposition into intrinsic components of ship responses, avoiding the need for experimental data from laboratory model tests.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Analysis of abnormal wave records by the Hilbert-Huang transform method
    Veltcheva, Albena D.
    Soares, C. Guedes
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2007, 24 (09) : 1678 - 1689
  • [2] Analysis of abnormal wave records by the Hilbert-Huang transform method
    Veltcheva, Albena D.
    Guedes Soares, C.
    Journal of Atmospheric and Oceanic Technology, 2007, 24 (09): : 1678 - 1689
  • [3] Analysis of Lamb wave signal using Hilbert-Huang transform
    Zhang, Haiyan
    Yu, Jianbo
    Sun, Xiuli
    Chen, Xianhua
    Cao, Yaping
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2010, 30 (03): : 223 - 226
  • [4] A Novel Ship-rocking Forecasting Method based on Hilbert-Huang Transform
    Kang, De-yong
    Li, Yu-jian
    Wang, Xu-liang
    Zhi, Chen
    8TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT 2015), 2016, 679
  • [5] Nonlinear dynamical characters analysis of ship rolling based on Hilbert-Huang Transform
    Song, Yang
    Lin, Yan
    Zhang, Mingxia
    ICIC Express Letters, Part B: Applications, 2013, 4 (01): : 25 - 30
  • [6] Improving Hilbert-Huang transform(HHT) method
    Xu, Bin
    Xu, Decheng
    Zhu, Weiping
    Liu, Bingye
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2011, 29 (02): : 268 - 272
  • [7] An analysis method for magnetotelluric data based on the Hilbert-Huang Transform
    Cai, Jian-Hua
    Tang, Jing-Tian
    Hua, Xi-Rui
    Gong, Yu-Rong
    EXPLORATION GEOPHYSICS, 2009, 40 (02) : 197 - 205
  • [8] Time series analysis with the Hilbert-Huang transform
    Donnelly, Denis
    Rogers, Edwin
    AMERICAN JOURNAL OF PHYSICS, 2009, 77 (12) : 1154 - 1161
  • [9] Hilbert-Huang transform analysis of storm waves
    Ortega, J.
    Smith, George H.
    APPLIED OCEAN RESEARCH, 2009, 31 (03) : 212 - 219
  • [10] Hilbert-Huang Transform and the Application
    Liu, Yi
    An, Hao
    Bian, Shuangshuang
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 534 - 539