Parametric interpolation method for probabilistic fatigue analysis of steel risers

被引:9
作者
Monsalve-Giraldo, J. S. [1 ]
Videiro, P. M. [1 ]
Mendes de Sousa, F. J. [1 ]
dos Santos, C. M. P. M. [2 ]
Sagrilo, L. V. S. [1 ]
机构
[1] Univ Fed Rio de Janeiro, COPPE, Civil Engn Dept, Lab Anal & Reliabil Offshore Struct, Rio De Janeiro, Brazil
[2] CENPES PETROBRAS, Rio De Janeiro, Brazil
关键词
Probabilistic fatigue analysis; Parametric interpolation method; Marine structures; Steel risers; Nonlinear stochastic dynamic analysis;
D O I
10.1016/j.apor.2019.05.023
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Slender marine structures such as mooring lines and risers are susceptible to failures due to stress variations coming from environmental actions. Wave, wind and current are random phenomena, and consequently the most adequate methodology to estimate the fatigue damage accumulation on these structures is the probabilistic fatigue analysis. In practice, the estimation of fatigue life requires the numerical simulation of a huge number of loading cases to compute the multi-dimensional integral of the total fatigue damage. This paper presents an efficient approach to compute the long-term fatigue damage of marine structures. The proposed method needs only a few number of numerical simulations to estimate the structure fatigue life. It uses a parametric interpolation procedure to evaluate the fatigue damage for arty individual short-term condition (sea state) required in the calculation of the multi-dimensional integral. In this way, the total number of short-term structural analyzes is considerably reduced. The effectiveness and accuracy of the proposed method is compared to the full direct integration by means of two comprehensive examples. The first studied case is an idealized theoretical model of a single-degree-of freedom (SDOF) system under wave loading, and the second one is a Steel Catenary Riser (SCR) connected to a FPSO (Floating, Production, Storage and Offloading floating unit).
引用
收藏
页数:10
相关论文
共 14 条
  • [1] [Anonymous], 1996, NUMERICAL RECIPES FO
  • [2] [Anonymous], 2005, E1049 ASTM
  • [3] Ariduru S., 2004, THESIS
  • [4] DNV (Det Norske Veritas), 2010, DNVRPC204
  • [5] Faltinsen O, 1993, Sea Loads on Ships and Offshore Structures
  • [6] Haver S., 1991, MARINE STRUCT, V4, P503
  • [7] Haver S., 1986, P ASME 1986 5 INT C
  • [8] On the long-term fatigue assessment of mooring and riser systems
    Low, Ying Min
    Cheung, Sai Hung
    [J]. OCEAN ENGINEERING, 2012, 53 : 60 - 71
  • [9] Hybrid Parabolic Interpolation - Artificial Neural Network Method (HPI-ANNM) for long-term extreme response estimation of steel risers
    Monsalve-Giraldo, J. S.
    Cortina, Joao P. R.
    de Sousa, Fernando J. M.
    Videiro, Paulo M.
    Sagrilo, Luis V. S.
    [J]. APPLIED OCEAN RESEARCH, 2018, 76 : 221 - 234
  • [10] Probabilistic fatigue analysis of marine structures using the univariate dimension-reduction method
    Monsalve-Giraldo, J. S.
    Dantas, C. M. S.
    Sagrilo, L. V. S.
    [J]. MARINE STRUCTURES, 2016, 50 : 189 - 204