Optimization Design of the Multi-Layer Cross-Sectional Layout of An Umbilical Based on the GA-GLM

• Published in: China ocean engineering Vol. 38; no. 2; pp. 247 - 254
• Main Authors: Yang, Zhi-xun, Yin, Xu, Fan, Zhi-rui, Yan, Jun, Lu, Yu-cheng, Su, Qi, Mao, Yan-dong, Wang, Hua-lin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024; Springer Nature B.V; Institute of marine machinery,College of Mechanical and Electrical Engineering,Harbin Engineering University,Harbin 150001,China%State Key Laboratory of Structural Analysis,Optimization and CAE Software for Industrial Equipment,Department of Engineering Mechanics,Dalian University of Technology,Dalian 116024,China%Ningbo Institube of Dalian University of Technology,Ningbo 315040,China
• Subjects: Algorithms; Coastal Sciences; Components; Design; Design optimization; Engineering; Fluid- and Aerodynamics; Genetic algorithms; Global optimization; Layering; Layouts; Manufacturing; Marine & Freshwater Sciences; Multilayers; Multiple objective analysis; Multipliers; Numerical and Computational Physics; Oceanography; Offshore Engineering; Optimization algorithms; Optimization models; Simulation; Steepest descent method; Storage requirements; Umbilical cables; cross-sectional layout; multi-layers; umbilical; GA-GLM; optimization
• ISSN: 0890-5487; 2191-8945
• DOI: 10.1007/s13344-024-0021-2

Marine umbilical is one of the key equipment for subsea oil and gas exploitation, which is usually integrated by a great number of different functional components with multi-layers. The layout of these components directly affects manufacturing, operation and storage performances of the umbilical. For the multi-layer cross-sectional layout design of the umbilical, a quantifiable multi-objective optimization model is established according to the operation and storage requirements. Considering the manufacturing factors, the multi-layering strategy based on contact point identification is introduced for a great number of functional components. Then, the GA-GLM global optimization algorithm is proposed combining the genetic algorithm and the generalized multiplier method, and the selection operator of the genetic algorithm is improved based on the steepest descent method. Genetic algorithm is used to find the optimal solution in the global space, which can converge from any initial layout to the feasible layout solution. The feasible layout solution is taken as the initial value of the generalized multiplier method for fast and accurate solution. Finally, taking umbilicals with a great number of components as examples, the results show that the cross-sectional performance of the umbilical obtained by optimization algorithm is better and the solution efficiency is higher. Meanwhile, the multi-layering strategy is effective and feasible. The design method proposed in this paper can quickly obtain the optimal multi-layer cross-sectional layout, which replaces the manual design, and provides useful reference and guidance for the umbilical industry.