Probabilistic design criterion for best arrangement of bracing configuration in JTOP structures

Document Type : Research Paper

Authors

Faculty of Civil Engineering and Architecture, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Abstract

Fixed marine structures is widely utilized as production or oil recovering platform in the shallow sea, and are also subject to random loading. Jacket structures subject to random loading pose difficulties in both analysis and design, with solutions commonly only viably acquired employing a numerical technique. Performance of offshore jacket platforms is highly related to configuration of the braces. In this regard, probabilistic scheme is a good option for evaluating jacket structures. In this paper, the performance of Resalat jacket structure located in the Persian Gulf with different kinds of bracing configuration is investigated. We present a new measuring index for optimum arrangement of bracing configuration which is defined as probabilistic design criterion. The Latin Hypercube Sampling (LHS) method, which is a more advanced and appropriate form of the Monte Carlo simulation technique, is used to investigate different configurations. Hereof, probabilistic analysis is performed on different configurations of platform structure using the LHS method. The elastic modulus is employed as the random input variable for probabilistic analysis, and the maximum values of stress and horizontal displacement are selected as the random output variables. Also, at the end of the calculations, the optimum configuration can be found. It is demonstrated that the proposed probabilistic optimization algorithm is capable of effectively determining the optimum configuration of jacket platform structures. Therefore, an optimum bracing configuration can be useful in evaluating and designing the fixed marine structures.

Keywords

References

  1. Shabakhty, N., (2011), System failure probability of offshore jackup platforms in the combination of fatigue and fracture. Journal of Engineering Failure Analysis, Vol.18(1), p.223-243.
  2. Kurian, V., Abdul Wahab, M.M., Kheang, T.S., and Liew, M.S., (2014), System reliability of existing jacket platform in Malaysian water (failure path and system reliability index). Journal of Applied Mechanics & Materials, Vol.567, p.307-312.
  3. White, G.J. and Ayyub, B.M., (2010), Reliability methods for ship structures. Journal of Naval Engineers, Vol.97(4), p.86-96.
  4. American Petroleum Institute, (1997), Section 17: Assessment of existing platforms. RP2A-WSD, 20th Ed., Supplement 1.
  5. Krieger, W.F., Banon, H., Lloyd, J.R., De, R.S., Digre, K.A., Nair, D., Irick, J.T. and Guynes, S.J., (1994), Process for Assessment of Existing Platforms to Determine their Fitness of Purpose, 26th Annual Offshore Technology conference, OTC-7482, p.131-40. https://doi.org/10.4043/7482-MS.
  6. Baecher, G. and Christian, J., (2003), Reliability and Statistics in Geotechnical Engineering, John Wiley & Sons Inc.
  7. Harr, M.E., (1987), Reliability based design in civil engineering, (reprint 1996 of the original edition 1987) paper. Recherche, Vol. 67, p.2.
  8. Allen, T.M., Nowak, A.S. and Bathurst, R.J., (2005), Calibration to Determine Load and Resistance Factors for Geotechnical and Structural Design, Transportation Research E-Circular (E-C079).
  9. Helton, J.C. and Davis, F.J., (2002), Illustration of sampling-based methods for uncertainty and sensitivity analysis. Journal of Risk Analysis, Vol.22, p.591-622.
  10. Vorechovsky, M. and Novak, D., (2009), Correlation control in small-sample Monte Carlo type simulations I: A Simulated Annealing Approach, Journal of Probabilistic Engineering Mechanics. Vol.24(3), p.452-462.
  11. Bouwkamp, J.G., Hollings, J.P., Masion, B.F. and Row, D.G., (1980), Effect of joint flexibility on the response of offshore structures, Offshore Technology Conference (OTC) p.455−464.
  12. Gao, F., Hu, B. and Zhu, H.P., (2013), Parametric equations to predict LJF of completely overlapped tubular joints under lap brace axial loading, Journal of Constructional Steel Research, Vol.89, p.284–292.
  13. Enevoldsen, I., Sorensen, J.D. and Sigurdsson, G., (1990), Reliability-based shape optimization using stochastic finite element methods. In Reliability and Optimization of Structural Systems, (Edited by P. Thoft-Christensen), Springer, Berlin.
  14. Rajan, , Luo, F.J,  Kuang, Y.C., Bai, Y. and Po-Leen Ooi, M., (2020), Reliability-based design optimization of structural systems using high-order analytical moments, Journal of Structural Safety, Vol.86, 101970.
  15. Carmichael, D.G., (1981), Probabilistic optimal design of framed structures, Journal of Computer-Aided Design, Vol.13(5), p.261-264. https://doi.org/10.1016/0010-4485(81)90314-6.
  16. Moses, F., (1977), Structural system reliability and optimization. Journal of Computers & Structures, Vol.9(2), p.283-290.
  17. Feng, S., Song, Y.P. and Zhang, R.X., (2000), Optimum design of structure shape for offshore jacket platforms, Journal of China Ocean Engineering, Vol.14 (4), p.435–445.
  18. Liu, X., Li, G., Yue, Q.J. and Oberliers, R., (2009), Acceleration-oriented design optimization of ice-resistant jacket platforms in the Bohai Gulf, Journal of Ocean Engineering, Vol.36, p.1295–1302.
  19. Yang, H.Z., Zhu, Y., Lu, Q.J. and Zhang, J., (2015), Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines, Journal of Renewable Energy, Vol.78, p.16–25.
  20. Nordal, H., Cornell, C.A. and Karmachandani, A., (1987), A systems reliability analysis case study of an eight leg jacket structure, Stanford University, p.78.
  21. Hellan, O., Skallerud, B., Amdahl, J. and Moan, T., (1991), Reassessment of offshore steel structures: shakedown and cyclic nonlinear FEM analyses. In: The first international offshore and polar engineering conference. International Society of Offshore and Polar Engineers.
  22. Lee, Y.S., Choi, B.L., Lee, J.H., Kim, S.Y. and Han, S., (2014), Reliability-based design optimization of monopile transition piece for offshore wind turbine system, Journal of Renewable Energy, Vol.71, p.729–741.
  23. Pourzangbar, A. and Vaezi, M., (2021), Optimal design of brace-viscous damper and pendulum tuned mass damper using Particle Swarm Optimization. Applied Ocean Research, Vol.112, 102706.
  24. Vaezi, M., and et al., (2021), Effects of stiffness and configuration of brace-viscous damper systems on the response mitigation of offshore jacket platforms. Applied Ocean Research, Vol.107, 102482.
  25. Tabeshpour, M.R. and Fatemi, M., (2020), Optimum arrangement of braces in jacket platform based on strength and ductility, Journal of Marine Structures, Vol.71, 102734.
  26. Vu, T., Loehr, E. and Smith, D., (2018), Probabilistic analysis and resistance factor calibration for deep foundation design using Monte Carlo simulation. Heliyon, Vol.4 (8), e00727. doi: 10.1016/j.heliyon.2018. e00727.
  27. Helton, J.C. and Davis, F.J., (2003) Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliab. Eng. Syst. Safety, vol.81, p. 23–69.
  28. Carmichael, D.G., (1981), Structural modelling and optimization. Ellis Horwood, Chichester, UK.

Files

Share

How to cite

Statistics