A systematic review of structural reliability methods for deformation and fatigue analysis of offshore jacket structures

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dc.contributor.authorShittu, Abdulhakim Adeoye
dc.contributor.authorKolios, Athanasios
dc.contributor.authorMehmanparast, Ali
dc.date.accessioned2021-01-19T12:43:32Z
dc.date.available2021-01-19T12:43:32Z
dc.date.issued2020-12-28
dc.description.abstractThis paper presents the state of the art in Structural Reliability Analysis (SRA) methods with a view of identifying key applications of each method and its proposed variations, qualifying characteristics, advantages, and limitations. Due to the increasing complexity and scale of modern offshore jacket structures, it becomes increasingly necessary to propose an accurate and efficient approach for the assessment of uncertainties in their material properties, geometric dimensions, and operating environments. SRA, as a form of uncertainty analysis, has been demonstrated to be a useful tool in the design of structures because it can directly quantify how uncertainty about input parameters can affect structural performance. Herein, attention was focused specifically on the probabilistic fracture mechanics approach because this accounts accurately for fatigue reliability mostly encountered as being dominant in the design of such structures. The well-established analytical/approximate methods such as the First- and Second-Order Reliability Methods (FORM/SORM) are widely used as they offer a good balance between accuracy and efficiency for realistic problems. They are, however, inaccurate in cases of highly non-linear systems. As a result, they have been modified using methods such as conjugate search direction approach, saddle point approximation, subset simulation, evidence theory, etc. in order to improve accuracy. Initially, direct simulations methods such as the Monte Carlo Simulation Method (MCS) with its various variance reduction techniques such as the Importance Sampling (IS), Latin Hypercube Sampling (LHS), etc. are ideal for structures having non-linear limit states but perform poorly for problems that calculate very low probabilities of failure. Overall, each method has its own merits and limitation, with FORM/SORM being the most commonly used, but recently, simulation methods have increasingly been used due to continuous advances in computation powers. Other relevant methods include the Response Surface Methods (RSM) and the Surrogate Models/Meta-models (SM/MM), which are advanced approximation methods and are ideal for structures with implicit limit state functions and high-reliability indices. Combinations of advanced approximation methods and reliability analysis methods are also found in literature as they can be suitable for complex, highly non-linear problems.en_UK
dc.identifier.citationShittu AA, Kolios A, Mehmanparast A. (2020) A systematic review of structural reliability methods for deformation and fatigue analysis of offshore jacket structures. Metals, Volumes 11, Issue 1, January 2021, Article number 50en_UK
dc.identifier.issn2075-4701
dc.identifier.urihttps://doi.org/10.3390/met11010050
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16199
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectprobabilistic fracture mechanicsen_UK
dc.subjectSRAen_UK
dc.subjectFORMen_UK
dc.subjectSORMen_UK
dc.subjectMCSen_UK
dc.subjectRSMen_UK
dc.titleA systematic review of structural reliability methods for deformation and fatigue analysis of offshore jacket structuresen_UK
dc.typeArticleen_UK

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