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    Evaluation of slug flow-induced flexural loading in pipelines using a surrogate model

    Supplementary data (31.60Kb)
    Access Status
    Open access
    Authors
    Sultan, Ibrahim
    Reda, Ahmed
    Forbes, Gareth
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Sultan, Ibrahim and Reda, Ahmed and Forbes, Gareth. 2013. Evaluation of slug flow-induced flexural loading in pipelines using a surrogate model. Journal of Offshore Mechanics and Arctic Engineering. 135 (3): 031703.
    Source Title
    Journal of Offshore Mechanics and Arctic Engineering
    DOI
    10.1115/1.4024207
    ISSN
    0892-7219
    School
    Department of Mechanical Engineering
    Remarks

    Supplementary data: the attached Excel spreadsheet follows the worked example in the journal paper "Sultan, Ibrahim et al. (2013) Evaluation of slug flow-induced flexural loading in pipelines using a surrogate model", available at the doi link above. Revision: v1. Date last modified: 18/12/12. Supplementary data licensing: this work is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License, http://creativecommons.org/licenses/by-sa/3.0/au

    URI
    http://hdl.handle.net/20.500.11937/3140
    Collection
    • Curtin Research Publications
    Abstract

    Slug flow induces vibration in pipelines, which may, in some cases, result in fatigue failure. This can result from dynamic stresses, induced by the deflection and bending moment in the pipe span, growing to levels above the endurance limits of the pipeline material. As such, it is of paramount importance to understand and quantify the size of the pipeline response to slug flow under given speed and damping conditions. This paper utilizes the results of an optimization procedure to devise a surrogate closed-form model, which can be employed to calculate the maximum values of the pipeline loadings at given values of speed and damping parameters. The surrogate model is intended to replace the computationally costly numerical procedure needed for the analysis. The maximum values of the lateral deflection and bending moment, along with their locations, have been calculated using the optimization method of stochastic perturbation and successive approximations (SPSA). The accuracy of the proposed surrogate model will be validated numerically, and the model will be subsequently used in a numerical example to demonstrate its applicability in industrial situations. An accompanying spreadsheet with this worked example is also given.

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