Title :
Notice of Retraction
Dynamic wave-loading fatigue reliability analysis of deepwater drilling riser
Author :
Xiu-Quan Liu ; Guo-ming Chen ; Yuan-Jiang Chang ; Lei Zhang ; Fei Li
Author_Institution :
Coll. of Mech. & Electron. Eng., China Univ. of Pet., Qingdao, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Deepwater drilling riser is a major component of offshore drilling system that connects drilling platform with subsea wellhead. The primary damage mode of a drilling riser is fatigue failure due to oscillatory environmental loads. Riser fatigue is sensitive to varieties of uncertainties, such as structural loads and material properties. It is vital to evaluate the fatigue failure using probabilistic approach. This paper focuses on dynamic fatigue reliability of deepwater drilling riser under random waves together-with drilling platform motion. Several parameters that contribute meaningfully to the uncertainty of riser fatigue are firstly considered. A sensitivity study is then conducted to identify critical random variables. It is found that S-N parameter A, response amplitude operator (RAO) of drilling platform and Palmgren-Miner´s index Δ have a pronounced influence on the uncertainty of fatigue damage in splash zone. Subsequently, dynamic reliability analysis model for wave-loading fatigue is established in the form of second-order polynomial. Monte Carlo simulation (MCS) is used for solving the established model. In the calculations, fatigue reliability at different service time can be determined.
Keywords :
Monte Carlo methods; fatigue; oil drilling; probability; reliability; sensitivity analysis; Monte Carlo simulation; Palmgren-Miner index; deepwater drilling riser; drilling platform motion; drilling riser fatigue failure; dynamic reliability analysis model; dynamic wave-loading fatigue reliability analysis; fatigue failure; fatigue reliability; material properties; offshore drilling system; oscillatory environmental loads; probabilistic approach; response amplitude operator; second-order polynomial; sensitivity S-N parameter; service time; structural loads; subsea wellhead; wave-loading fatigue; Fatigue; Mathematical model; Random variables; Reliability; Sensitivity analysis; Soil; Uncertainty; Monte Carlo simulation; drilling riser; reliability; sensitivity analysis; wave-loading fatigue;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625729