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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Randolph, Mark
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Topics
Publications (10/10 displayed)
- 2022An efficient probabilistic framework for the long-term fatigue assessment of large diameter steel riserscitations
- 2021A Bayesian machine learning approach to rapidly quantifying the fatigue probability of failure for steel catenary riserscitations
- 2021Relationships between lateral and rotational load transfer stiffnesses and soil modulus for the elastic response of monopilescitations
- 2021Centrifuge modelling of pipe-soil interaction in clay with crust layercitations
- 2018An ANN-based framework for rapid spectral fatigue analysis of steel catenary risers
- 2016Evaluation of elastic stiffness parameters for pipeline-soil interactioncitations
- 2015Sensitivity studies of SCR fatigue damage in the touchdown zone using an efficient simplified framework for stress range evaluationcitations
- 2009Characterization of the solid-fluid transition of fine-grained sedimentscitations
- 2009Characterization of the solid-fluid transition of fine-grained sedimentscitations
- 2008Analysis of factors influencing soil classification using normalized piezocone tip resistance and pore pressure parameterscitations
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article
Sensitivity studies of SCR fatigue damage in the touchdown zone using an efficient simplified framework for stress range evaluation
Abstract
© 2015 Elsevier Ltd. All rights reserved. Steel catenary risers (SCRs) are widely used in deep water. Several sources of nonlinearities make SCR fatigue design challenging. Limited understanding of the influence of the various input parameters on the structural response of SCRs leads to unnecessarily high conservatism in design. Also, time consuming numerical simulations are usually performed to assess SCR fatigue damage which is inefficient, especially for early design stages. A simplified framework for fatigue analysis of SCRs in the touchdown zone (TDZ) has been developed previously, using artificial neural networks. The approach may be used to efficiently estimate maximum static and dynamic stress ranges in the TDZ, from which the fatigue damage can be deduced. Comparison of the maximum static and dynamic stress changes for a given input motion allows quantification of the dynamic amplification factor (DAF). This paper explores the sensitivity of the maximum dynamic stress ranges and DAF to the key dimensionless groups of input parameters and also certain individual input parameters. The study illustrates the usefulness of the proposed framework in understanding SCR behaviour in the TDZ, providing guidance on optimisation of SCR design from a fatigue perspective. The paper also reflects on the potential benefits of using DAFs for SCR fatigue design.