USING MODEL TEST DATA TO ASSESS VIV FACTOR OF SAFETY FOR SCR AND TTR IN GOM

被引:0
|
作者
Fontaine, E. R. [1 ]
Rosen, J. [1 ]
Marcollo, H. [1 ]
Vandiver, J. K. [2 ]
Triantafyllou, M. [2 ]
Resvanis, T. L. [2 ]
Larsen, C. M. [3 ]
Tognarelli, M. A. [4 ]
Oakley, O. H. [5 ]
Constantinides, Y. [6 ]
Johnstone, D. R. [1 ]
机构
[1] AMOG Consulting, Melbourne, Vic, Australia
[2] Harvard Univ, MIT, Cambridge, MA 02139 USA
[3] NTNU, Trondheim, Norway
[4] BP Amer Prod Co, Houston, TX USA
[5] Chevron Overseas Petr Inc, San Ramon, CA 94583 USA
[6] Chevron, Houston, TX USA
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents results obtained as part of the DeepStar Phase 10 program on VIV Factors of Safety. The objective was to develop a general methodology to calibrate Factors of Safety for VIV-induced fatigue and to apply it to partially straked risers. This was achieved using reliability methods, accepted industry VIV prediction software and state-of-the-art model test experiments. Most oil companies use a Factor of Safety of 20 when predicting VIV damage using VIV software tools. There are numerous software tools currently in use in industry to predict VIV damage to straked risers and each of them will have different accuracy, and therefore an intrinsic level of conservatism. Understanding the level of conservatism in different VIV prediction software is therefore critical to determining what Factor of Safety to use. This study benchmarks the latest generation of industry accepted VIV design tools at the time of the study (2011): SHEAR7v4.6, VIVAv6.5 and VIVANAv3.7.24 against high quality VIV data from three separate straked riser experiments. A bias distribution (predicted to measured VIV damage results) is obtained for each software tool as a function of the strake coverage. A novel reliability framework approach is then developed to incorporate all uncertainties associated with VIV fatigue prediction into a limit state function, including variability in met-ocean conditions and variability in the fatigue resistance of the material characterized by a design S-N curve. The limit state function is analyzed using First Order Reliability Methods to develop Factors of Safety for target probabilities of failure. The general method is then applied on two case studies involving an SCR and TTR in Gulf of Mexico loop currents, but it can be easily extended to different locations and riser configurations. The resulting FoS range from about 1 to 15 for most software, and are lower than industry standards for VIV prediction. The FoS do not vary markedly for different riser configurations, indicating the possibility of reducing excess conservatism when predicting VIV damage on straked risers.
引用
收藏
页数:13
相关论文
共 50 条
  • [32] A Building Retrofit Optimization Model Using Notch Test Data
    Fan, Yuling
    Xia, Xiaohua
    IFAC PAPERSONLINE, 2017, 50 (02): : 229 - 230
  • [33] Garch Model Test Using High-Frequency Data
    Deng, Chunliang
    Zhang, Xingfa
    Li, Yuan
    Xiong, Qiang
    MATHEMATICS, 2020, 8 (11) : 1 - 17
  • [34] USING A THERMAL SIMULATION-MODEL TO INTERPRET TEST DATA
    AZAR, K
    MANNO, VP
    IEEE TRANSACTIONS ON COMPONENTS HYBRIDS AND MANUFACTURING TECHNOLOGY, 1992, 15 (05): : 632 - 639
  • [35] Evaluation of model reduction methods using modal test data
    Chung, YT
    IMAC - PROCEEDINGS OF THE 16TH INTERNATIONAL MODAL ANALYSIS CONFERENCE, VOLS 1 AND 2, 1998, 3243 : 660 - 666
  • [36] Optimisation of model parameters using incomplete modal test data
    Wittig, H
    Maus, D
    Reister, A
    IMAC - PROCEEDINGS OF THE 16TH INTERNATIONAL MODAL ANALYSIS CONFERENCE, VOLS 1 AND 2, 1998, 3243 : 1075 - 1080
  • [37] TECHNIQUES FOR IMPLEMENTING STRUCTURAL MODEL IDENTIFICATION USING TEST DATA
    ALLEN, JJ
    MARTINEZ, DR
    AIAA JOURNAL, 1991, 29 (11) : 1937 - 1944
  • [38] Decentralized Data Fusion Algorithm using Factor Analysis Model
    Quadri, S. A.
    Sidek, Othman
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 1182 - 1186
  • [39] Development of a generative voluntary safety reporting culture (GVSRC) model for the Gulf of Mexico (GOM) oil and gas (O & G) sector using attributes of the aviation safety action program (ASAP)
    Adjekum, Daniel Kwasi
    Afari, Samuel Asante
    Owusu-Amponsah, Nana Yaw
    Waller, Zachary
    Rasouli, Vamegh
    Ullrich, Gary
    Snyder, Paul
    Corbin, Neal
    SAFETY SCIENCE, 2023, 161
  • [40] Using geophysical data to assess groundwater levels and the accuracy of a regional numerical flow model
    Levesque, Yan
    Chesnaux, Romain
    Walter, Julien
    HYDROGEOLOGY JOURNAL, 2023, 31 (02) : 351 - 370