Time domain hydroelastic analysis of a flexible marine structure using state-space models

被引:0
|
作者
Taghipour, Reza [1 ]
Perez, Tristan [1 ]
Moan, Torgeir [1 ]
机构
[1] Norwegian Univ Sci & Technol, Ctr Ships & Ocean Struct, N-7491 Trondheim, Norway
来源
Proceedings of the 26th International Conference on Offshore Mechanics and Arctic Engineering, Vol 4 | 2007年
关键词
D O I
暂无
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
This article deals with time-domain hydroelastic analysis of a marine structure. The convolution terms in the mathematical model are replaced by their alternative state-space representations whose parameters are obtained by using the realization theory. The mathematical model is validated by comparison to experimental results of a very flexible barge. Two types of time-domain simulations are performed: dynamic response of the initially inert structure to incident regular waves and transient response of the structure after it is released from a displaced condition in still water The accuracy and the efficiency of the simulations based on the state-space model representations are compared to those that integrate the convolutions.
引用
收藏
页码:519 / 527
页数:9
相关论文
共 50 条
  • [21] ONLINE STRUCTURE SELECTION FOR MULTIVARIABLE STATE-SPACE MODELS
    VANOVERBEEK, AJM
    LJUNG, L
    AUTOMATICA, 1982, 18 (05) : 529 - 543
  • [22] State-space models of the term structure of interest rates
    Duffie, D
    STOCHASTIC ANALYSIS AND RELATED TOPICS V: THE SILIVRI WORKSHOP, 1994, 1996, 38 : 41 - 67
  • [23] Monitoring Time-Varying Network Streams Using State-Space Models
    Cao, Jin
    Chen, Aiyou
    Bu, Tian
    Buvaneswari, Arumugam
    IEEE INFOCOM 2009 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-5, 2009, : 2721 - 2725
  • [24] Long-term prediction of time series using state-space models
    Liitiainen, Elia
    Lendasse, Amaury
    ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2, 2006, 4132 : 181 - 190
  • [25] Time-Domain Absorbing Boundary Terminations for Waveguide Ports Based on State-Space Models
    Flisgen, Thomas
    Heller, Johann
    van Rienen, Ursula
    IEEE TRANSACTIONS ON MAGNETICS, 2014, 50 (02) : 145 - 148
  • [26] Time domain digital state-space modeling of PWM converter
    Osadchij, A.L.
    Rogal, V.V.
    Technical Electrodynamics, 2012, (02): : 50 - 50
  • [27] Identification of state-space systems using a dual time-frequency domain approach
    Agueero, Juan C.
    Yuz, Juan I.
    Goodwin, Graham C.
    Tang, Wei
    49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 2863 - 2868
  • [28] Representation of Electromagnetic Responses in Time Domain Using State-Space System Identification Method
    Naishadham, Krishna
    Piou, Jean E.
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2016, 64 (04) : 1404 - 1415
  • [29] Analysis of linear lung models based on state-space models
    Saatci, Esra
    Saatci, Ertugrul
    Akan, Aydin
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 183
  • [30] Discriminative State-Space Models
    Kuznetsov, Vitaly
    Mohri, Mehryar
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30