Estimation method of the capsizing probability in irregular beam seas using non-Gaussian probability density function

被引:1
|
作者
Atsuo Maki
机构
[1] Naval Surface Warfare Center Carderock Division (NSWCCD),
[2] US Navy (Engineer and Scientist Exchange Program),undefined
[3] Naval Systems Research Center (NSRC),undefined
[4] Acquisition,undefined
[5] Technology and Logistics Agency (ATLA),undefined
[6] Japan Ministry of Defense (MoD),undefined
关键词
Capsizing probability; Irregular beam seas; Non-Gaussian probability density function;
D O I
暂无
中图分类号
学科分类号
摘要
This paper aims to describe a probabilistic assessment technique for ship roll behavior in beam sea conditions. Here, following the work of Kimura and its previous application by the author, probability density function (pdf) of roll response is calculated by combining the moment method with equivalent linearization technique. Results produced using this method are shown to be in good agreement with Monte Carlo simulation results. Moreover, this procedure is extended to the estimation of the capsizing probability. The final results concerning capsizing probability for the linear damping coefficient case are well correlated to the Monte Carlo simulation results. The advantage of this method is that it does not require a significant amount of computation and it enables the direct assessment of capsizing probability for ships with strongly nonlinear restoring terms.
引用
收藏
页码:351 / 360
页数:9
相关论文
共 50 条
  • [41] Data driven output joint probability density function control for multivariate non-linear non-Gaussian systems
    Yin, Liping
    Zhang, Hongyan
    Guo, Lei
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (18): : 2697 - 2703
  • [42] Quantifying non-Gaussian intermittent fluctuations in physiology: Multiscale probability density function analysis using the Savitzky-Golay detrending
    Mangalam, Madhur
    Kelty-Stephen, Damian G.
    Hayano, Junichiro
    Watanabe, Eiichi
    Kiyono, Ken
    [J]. PHYSICAL REVIEW RESEARCH, 2023, 5 (04):
  • [43] Non-Gaussian clutter characterization applied to OTHR using a mixture of two Rayleigh probability density functions
    Gustafson, Steven C.
    James, Evan A.
    Terzuoli, Andrew J., Jr.
    Weidenhammer, Lindsay N.
    Barnes, Rod I.
    [J]. ADVANCES IN SPACE RESEARCH, 2009, 44 (06) : 663 - 666
  • [44] A Noncentral and Non-Gaussian Probability Model for SAR Data
    Cristea, Anca
    Doulgeris, Anthony P.
    Eltoft, Torbjorn
    [J]. IMAGE ANALYSIS, SCIA 2017, PT II, 2017, 10270 : 159 - 168
  • [45] THE NON-GAUSSIAN JOINT PROBABILITY DENSITY-FUNCTION OF SLOPE AND ELEVATION FOR A NONLINEAR GRAVITY-WAVE FIELD
    HUANG, NE
    LONG, SR
    BLIVEN, LF
    TUNG, CC
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1984, 89 (NC2) : 1961 - 1972
  • [46] Some statistical properties of surface slopes via remote sensing considering a non-Gaussian probability density function
    Luis Poom-Medina, Jose
    Alvarez-Borrego, Josue
    [J]. JOURNAL OF MODERN OPTICS, 2016, 63 (12) : 1136 - 1144
  • [47] Probability functional of a vector non-Gaussian Markov process
    Lyandres, V
    [J]. PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1999, : 247 - 250
  • [48] Estimation of probability density function using spectral analysis
    Alencar, MS
    [J]. ELECTRONICS LETTERS, 1998, 34 (02) : 150 - 151
  • [49] Probability Density Function Estimation Using Gamma Kernels
    Song Xi Chen
    [J]. Annals of the Institute of Statistical Mathematics, 2000, 52 : 471 - 480
  • [50] Non-Gaussian error probability in optical soliton transmission
    Falkovich, G
    Kolokolov, I
    Lebedev, V
    Mezentsev, V
    Turitsyn, S
    [J]. PHYSICA D-NONLINEAR PHENOMENA, 2004, 195 (1-2) : 1 - 28