Accuracy verification of the 2D spectral AIS method by the hull monitoring data

被引:0
|
作者
Oka, Masayoshi [1 ]
Komoriyama, Yusuke [1 ]
Ma, Chong [1 ]
机构
[1] National Maritime Research Institute, 6-38-1 Shinkawa, Mitaka, Tokyo,181-0004, Japan
关键词
Ocean currents;
D O I
10.1016/j.marstruc.2024.103704
中图分类号
学科分类号
摘要
Accuracy validation of the 2D spectral AIS method (AIS method using two-dimensional wave spectrum; 2D-AIS method) using hull monitoring data of a large ore carrier is discussed. The AIS method predicts the response of actual ships using AIS-based ship position data, hindcast wave data, and response characteristics data. The conventional AIS method uses representative parameters(H, T, θ) from wave spectrum modeling. The modeling involves many uncertainties. By using the 2D wave spectrum as it is, the effect of uncertainties associated with wave spectrum modeling is investigated. Compared to the analysis of the monitoring data conducted in this study, it was found that the 2D-AIS method improves the accuracy to about 15 %, while the conventional AIS method shows an error of up to about 35 % compared to the actual measurements in the long-term maximum expected values. This enhancement is attributed to the inability of the modeled wave spectrum to accurately represent the two-peak wave spectrum observed in extreme sea states, leading to a deficiency in reproducing wave frequency components corresponding to peak frequencies of the response. The findings underscore the effectiveness of the 2D-AIS method in refining long-term hull stress estimations, thus offering valuable insights for enhancing the safety and performance of hull structures. © 2024 The Author(s)
引用
收藏
相关论文
共 50 条
  • [1] An accuracy and stability study of the 2D spectral volume method
    Van den Abeele, Kris
    Lacor, Chris
    JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 226 (01) : 1007 - 1026
  • [2] Accuracy verification of a 2D adaptive mesh refinement method for incompressible or steady flow
    Li, Zhenquan
    Wood, Robert
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2017, 318 : 259 - 265
  • [3] Preprocessing 2D data for fast convex hull computations
    Cadenas, Oswaldo
    Megson, Graham M.
    PLOS ONE, 2019, 14 (02):
  • [4] Exact 2D Convex Hull for Floating-point Data
    Ozaki, Katsuhisa
    Ogita, Takeshi
    Oishi, Shin'ichi
    REC 2010: PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING: ROBUST DESIGN - COPING WITH HAZARDS, RISK AND UNCERTAINTY, 2010, : 282 - 292
  • [5] Preconditioning 2D Integer Data for Fast Convex Hull Computations
    Cadenas, Jose Oswaldo
    Megson, Graham M.
    Hendriks, Cris L. Luengo
    PLOS ONE, 2016, 11 (03):
  • [6] Accuracy and conditioning of the method of moments for the 2D EFIE
    Univ of Illinois, Urbana, United States
    Annu Rev Progr Appl Comput Electromagn, (198-204):
  • [7] Accuracy of spectral and finite difference schemes in 2D advection problems
    Naulin, V
    Nielsen, AH
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2003, 25 (01): : 104 - 126
  • [8] An Effective 2D Convex Hull Algorithm
    Liu K.
    Xia M.
    Yang X.
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2017, 49 (05): : 109 - 116
  • [9] Inversion of 2D spectral induced polarization imaging data
    Loke, MH
    Chambers, JE
    Ogilvy, RD
    GEOPHYSICAL PROSPECTING, 2006, 54 (03) : 287 - 301
  • [10] AN AUTOREGRESSIVE SPECTRAL-ANALYSIS OF 2D NMR DATA
    IMANISHI, Y
    MATSUURA, T
    YAMASAKI, C
    YAMAZAKI, T
    OGURA, K
    IMANARI, M
    JOURNAL OF MAGNETIC RESONANCE SERIES A, 1994, 110 (02) : 175 - 182