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Reliability-Based Multi-objective Optimization of Offshore Jacket Structures

  • Vishnu MuraliEmail author
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 23)

Abstract

In the light of the ever-growing requirements in ecological concerns, government legislations, and consumer demanding, this paper focuses on the structural design of lightweight offshore structures with acceptable levels of reliability. The conflict in these two parameter figures a multi-objective problem with minimizing jacket mass and maximizing reliability as objective functions with member group dimensions as design variables. A Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is selected to solve the problem to obtain the Pareto optimal frontier. The Radial Basis Function (RBF) coupled with Monte Carlo Simulation (MCS) is used to approximate the response of objectives and evaluate reliability in the context of optimization. The study aims to provide multiple solutions for the structural design considering economic cost and structural integrity. Although a Pareto frontier provides multiple solutions, we use the knee point by minimum distance method to decide the most acceptable arrangement from Pareto set.

Keywords

Multi-objective optimization Offshore jacket Reliability 

Notes

Acknowledgement

The author gratefully acknowledge the valuable technical contribution provided by Prof. S. K. Bhattacharyya and Prof. S. Surendran, both from Department of Ocean engineering, IIT Madras.

References

  1. 1.
    Wong MB (2009) Plastic analysis and design of steel structures (Library of Congress Catalog)Google Scholar
  2. 2.
    American Petroleum Institute-API (2000) Recommended practice for planning, design and constructing fixed offshore platforms—working stress design, 21st edn. American Petroleum Institute, Washington (DC)Google Scholar
  3. 3.
    Det Norske Veritas (1999) ULTIGUIDE—best practice guideline for use of non-linear analysis methods in documentation of ultimate limit states for jacket type offshore structures. Hovik, NorwayGoogle Scholar
  4. 4.
    Soliman M, Frangopol DM, Mondoro A (2016) A probabilistic approach for optimizing inspection, monitoring, and maintenance actions against fatigue of critical ship details. Struct Saf 60:91–101CrossRefGoogle Scholar
  5. 5.
    Heredia-Zavoni E, Silva-Gonzalez F, Montes-Lturrizaga R (2008) Reliability analysis of marine platforms subject to fatigue damage for risk based inspection planning. ASME J Offshore Mech Arct Eng 130(4):1–9CrossRefGoogle Scholar
  6. 6.
    Karadeniz H, Toğan V, Daloğlu A, Vrouwenvelder T (2010) Reliability-based optimisation of offshore jacket-type structures with an integrated-algorithms system. Ships Offshore Struct 5(1):67–74.  https://doi.org/10.1080/17445300903098334CrossRefGoogle Scholar
  7. 7.
    Chew K-H, Tai K, Ng E, Muskulus M (2016) Analytical gradient-based optimization of offshore wind turbine substructures under fatigue and extreme loads. Mar Struct 2016(47):23–41CrossRefGoogle Scholar
  8. 8.
    SINTEF Group (2001) USFOS getting started. Structural engineering, Marintek, SINTEF GroupGoogle Scholar
  9. 9.
    Chojaczyk AA, Teixeira AP, Neves LC, Cardoso JB, Guedes Soares C (2015) Review and application of artificial neural networks models in reliability analysis of steel structures. Struct Saf 52:78–89CrossRefGoogle Scholar
  10. 10.
    DNV2018: Guidelines for offshore structural reliability analysis-general, Appendix B (1995)Google Scholar
  11. 11.
    Li R, Xu P, Peng Y, Ji P (2016) Multi-objective optimization of a high-speed train head based on the FFD method. J Wind Eng Ind Aerodyn 152:41–49CrossRefGoogle Scholar
  12. 12.
    Soreide TH, Amdahl J, Eberg E, Holmas T, Hellan O (1993) USFOS—a computer program for progressive collapse analysis of steel structures—theory manual. SINTEF Report, Trondheim, NorwayGoogle Scholar
  13. 13.
    Skallerud B, Amdahl J (2002) Nonlinear analysis of offshore structures. Research Studies Press, UKGoogle Scholar
  14. 14.
    Ueda Y, Rasheed SMH (1984) The idealized structural unit method and its application to deep girder structures. Comput Struct 18:277–293CrossRefGoogle Scholar
  15. 15.
    Karimirad M, Meissonnier Q, Gao Z, Moan T (2011) Hydro elastic code-to-code comparison for a tension leg spar-type floating wind turbine. Mar Struct 24:412–435CrossRefGoogle Scholar
  16. 16.
    Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, pp 1942–1948Google Scholar
  17. 17.
    Gomez HM (2011) Truss optimization with dynamic constraints using a particle swarm algorithm. Expert Syst Appl 38:957–968CrossRefGoogle Scholar
  18. 18.
    Ditlevesen O, Madsen HO (1996) In: Willey J (ed) Structural reliability methods. ISBN 0471960861Google Scholar
  19. 19.
    Cornell CA (1967) Bounds on the reliability of structural systems. J Struct Div ASCE 93(1):171–200Google Scholar
  20. 20.
    Perez RE, Behdinan K (2007) Particle swarm approach for structural design optimization. Comput Struct 85:579–88CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Ocean EngineeringIndian Institute of Technology MadrasChennaiIndia

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