Fatigue Reliability Analysis of Marine Risers by Approximation Model

Yang, H.-Z. and Li, H.-J. (2010) Fatigue Reliability Analysis of Marine Risers by Approximation Model. In: 20th International Offshore and Polar Engineering Conference, ISOPE-2010, Beijing, China, 20-25 June 2010, ISBN 9781880653777

Abstract

Approximation model is used to construct response surface for the fatigue reliability assessment of a marine riser. Experience of marine riser applications has shown that fatigue is sensitive to varieties of uncertainties which are associated with material behavior, structural modeling, hydromechanics modeling, and fatigue characteristics. With uncertainty occurring in these key parameters, it is vital to evaluate the fatigue failure by probabilistic approach. However, fatigue reliability analysis for marine riser in time-domain is often a very computationally expensive process. An approximation model which requires a low number of experiments with the simulation code was constructed by Response Surface Method (RSM). Approximation model in conjunction with First Order Reliability Method (FORM) and Monte Carlo Simulation (MCS) has been used for the compliant Vertical Access Riser's fatigue reliability estimation. The influence of various random variables on overall probability of failure has been studied through sensitivity analysis. Procedures for constructing accurate response surface approximations used in marine riser fatigue reliability analysis are discussed. It is shown that using approximation model can not only reduce the computational cost significantly but also obtain fatigue reliability of marine riser with a high degree of accuracy.

• Item Type: Conference Proceedings
• Additional Information: Proceedings of the International Offshore and Polar Engineering Conference. Volume 2, 2010, pages 182-187.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yang, Dr Hezhen
• Authors: Yang, H.-Z., and Li, H.-J.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• ISBN: 9781880653777