A study on the optimum arrangement of buoyancy module for stability of marine flexible riser using genetic algorithm & multi-body dynamic simulation

Society for Mining, Metallurgy & Exploration
Hyung-woo Kim Chang-Ho Lee Tae-kyeong Yeu Cheon-Hong Min Minuk Lee Sup Hong
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
5
File Size:
628 KB
Publication Date:
Sep 1, 2014

Abstract

This paper concerns the optimum arrangement of the buoyancy module, which is used for stable dynamic motion and structure stability of the marine flexible riser. The main method of this study is simulation-based design using Genetic Algorithm (G.A) for optimum design and Multi-body dynamic for simulation. The marine riser connects the vessel and the seabed-tracked vehicle. The motion of the riser affects the motion of the vessel and the vehicle. In this study, a marine riser of the deep-seabed integrated mining system (Figure 1) is used. This riser has a strong effect on efficient transfer of minerals. So, the buoyancy module must be equipped to supplement problems of the structure stability and the dynamic motion. Positions and quantities of the equipping buoyancy modules are determined by the at sea experiment (Figure 2). But this method is not easy because the actual sea experiment is expensive, time-consuming and dangerous (Figure 3). Thus, the position and quantity must be determined by simulation-based design. The dynamic analysis models of the riser and the buoyancy module were built in the commercial software DAFUL. In the marine environment, factors affecting behavior are current, drag force, etc.
Citation

APA: Hyung-woo Kim Chang-Ho Lee Tae-kyeong Yeu Cheon-Hong Min Minuk Lee Sup Hong  (2014)  A study on the optimum arrangement of buoyancy module for stability of marine flexible riser using genetic algorithm & multi-body dynamic simulation

MLA: Hyung-woo Kim Chang-Ho Lee Tae-kyeong Yeu Cheon-Hong Min Minuk Lee Sup Hong A study on the optimum arrangement of buoyancy module for stability of marine flexible riser using genetic algorithm & multi-body dynamic simulation. Society for Mining, Metallurgy & Exploration, 2014.

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