Optimization Design for Deepwater Risers with Fatigue Constraints

Yang, H.-Z. and Li, H.-J. (2010) Optimization Design for Deepwater Risers with Fatigue Constraints. In: 20th International Offshore and Polar Engineering Conference, ISOPE-2010, Beijing, China, 20-25 June 2010, ISBN 9781880653777

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Abstract

This paper presents an efficient optimization strategy for deepwater risers design under fatigue life constraints. As water depth is increasing, the fatigue damage becomes a critical issue for the steel catenary risers (SCRs) due to the dynamic excitation caused by ocean environmental loadings and vessel motions. The deepwater riser design is characterized by the consideration of numerous load cases, geometrically nonlinearty and highly responsive dynamic nature of the system. It is very computationally expensive for the optimization process. Moreover, very little research has been conducted to incorporate the fatigue constraints into marine riser optimization design. This work analyzes the use of an Island based Genetic Algorithm (IGA) to minimize the riser cost while keeping all constraints satisfied. A Kriging method in conjunction with design of experiments is used to construct approximation model for dynamic and fatigue analysis. The geometric size and density of the coating types for SCRs are varied to determine an optimum configuration. Validation results have shown the accuracy on predicting the fatigue life and a significant computational time reduction. It demonstrates the effectiveness of this optimization strategy by integrating approximation model into the traditional design process considering fatigue life constraints.

Item Type:Conference Proceedings
Additional Information:Proceedings of the International Offshore and Polar Engineering Conference ISOPE-2010, volume 2, 2010, pages 176-181.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yang, Dr Hezhen
Authors: Yang, H.-Z., and Li, H.-J.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
ISBN:9781880653777

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