On the Use of Dimension-Reduction Methods in Fatigue Analysis of Flexible Risers Subjected to Bimodal Seas

Author:

Vaillant Alyson Gomes12,Sagrilo Luis Volnei Sudati3,Custódio Anderson Barata4

Affiliation:

1. COPPE/Federal University of Rio de Janeiro, Cidade Universitária Laboratory of Analysis and Reliability of Offshore Structures, LACEO, Department of Civil Engineering, , Rio de Janeiro 21941-596 , Brazil ; CENPES—Petrobras Research and Development Center, , Rio de Janeiro 21941-915 , Brazil

2. Cidade Universitária Laboratory of Analysis and Reliability of Offshore Structures, LACEO, Department of Civil Engineering, , Rio de Janeiro 21941-596 , Brazil ; CENPES—Petrobras Research and Development Center, , Rio de Janeiro 21941-915 , Brazil

3. COPPE/Federal University of Rio de Janeiro, Cidade Universitária Laboratory of Analysis and Reliability of Offshore Structures, LACEO, Department of Civil Engineering, , Rio de Janeiro 21941-596 , Brazil

4. Cidade Universitária CENPES—Petrobras Research and Development Center, , Rio de Janeiro 21941-915 , Brazil

Abstract

Abstract Fatigue analyses of flexible pipes through the application of long-term response statistics, when considering bimodal seas, are particularly challenging due to the excessive computational costs involved, since they require, generally, to solve numerically a four-dimensional integral associated with time-domain finite element-based analyses of the flexible pipe. This paper investigates different dimension-reduction methods (DRMs) as effective approaches to compute fatigue damage of these structures. The performance of the DRMs was compared with that of the Monte Carlo simulation method (MCSM). Two case studies are presented: a 4 in., and a 7 in., flexible riser connected to a semi-submersible, and a spread-moored floating production storage and offloading unit platform, respectively. The studies demonstrated that some DRMs presented accurate results, exhibiting high efficacy with errors below 3%. Furthermore, the bivariate dimension-reduction method required only 18% of the computational cost associated with the standard Gauss–Hermite quadrature in space R4 (without any reduction), or much less when compared to the MCSM.

Publisher

ASME International

Reference55 articles.

1. Monsalve-Giraldo, J. S. , 2014, “Efficient Methods for Probabilistic Fatigue Analysis of Marine Structures,” M.Sc. dissertation, Department of Civil Engineering, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

2. Probabilistic Fatigue Analysis of Marine Structures Using the Univariate Dimension-Reduction Method;Monsalve-Giraldo;Mar. Struct.,2016

3. Long-Term Fatigue Analysis of Mooring Lines Considering Wind-Sea and Swell Waves Using the Univariate Dimension-Reduction Method;Ibarra;Appl. Ocean Res.,2022

4. Ibarra, M. A. C. , 2022, “Fatigue Analysis of Mooring Lines Considering Wind-Sea and Swell Waves Using the Univariate Dimension-Reduction Method,” D.Sc. thesis, Civil Engineering Department, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

5. Ruschel, A. , 2021, “Método da Redução de Dimensão Univariada Aplicado na Análise de Fadiga de Estruturas de Cabeças de Poços de Petróleo Considerando o Efeito Simultâneo de Ondas de Mar Local e de Swell,” M.Sc. dissertation, Department of Civil Engineering, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. (In Portuguese).

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