This paper presents a method of multiobjective optimization based on approximation model for dynamic umbilical installation. The optimization aims to find out the most cost effective size, quantity and location of buoyancy modules for umbilical installation. Due to the highly geometrically nonlinearity and highly responsive dynamic nature in deepwater, dynamic umbilical analysis is very complex and time-consuming. Approximation Model constructed by design of experiment (DOE) sampling is utilized to solve this problem. Non-linear dynamic analyses considering environmental loadings are executed on these sample points from DOE. Non-dominated Sorting Genetic Algorithm (NSGA-II) is employed to obtain the Pareto solution set through an evolutionary optimization process. The optimization results indicate this optimization strategy with approximation model is valid, and provide the optimal deployment way of buoyancy modules.
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ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering
June 19–24, 2011
Rotterdam, The Netherlands
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-4436-6
PROCEEDINGS PAPER
Multiobjective Optimization for Dynamic Umbilical Installation Using Non-Dominated Sorting Genetic Algorithm
Aijun Wang,
Aijun Wang
Shanghai Jiao Tong University, Shanghai, China
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Hezhen Yang,
Hezhen Yang
Shanghai Jiao Tong University, Shanghai, China
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Huajun Li
Huajun Li
Ocean University of China, Qingdao, China
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Aijun Wang
Shanghai Jiao Tong University, Shanghai, China
Hezhen Yang
Shanghai Jiao Tong University, Shanghai, China
Huajun Li
Ocean University of China, Qingdao, China
Paper No:
OMAE2011-49148, pp. 121-129; 9 pages
Published Online:
October 31, 2011
Citation
Wang, A, Yang, H, & Li, H. "Multiobjective Optimization for Dynamic Umbilical Installation Using Non-Dominated Sorting Genetic Algorithm." Proceedings of the ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. Volume 4: Pipeline and Riser Technology. Rotterdam, The Netherlands. June 19–24, 2011. pp. 121-129. ASME. https://doi.org/10.1115/OMAE2011-49148
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