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Study on nonlinear dynamic characteristics inherent in offshore jacket platform using long-term monitored response of ice-structure interaction
Institution:1. School of Ocean Science and Technology, Dalian University of Technology, Panjin 124000, China;2. Computer Science & Technology College, Dalian University of Technology, Dalian 116024, China;3. School of Software, Dalian University of Technology, Dalian 116620, China;1. Technical University of Denmark, Department of Wind Energy, Frederiksborgvej 399, 4000, Roskilde, Denmark;2. University of Ferrara, Engineering Department, 44122, Ferrara, Italy;3. Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Experimental Aerodynamics Department, 14 Fiszera Street, 80-231, Gdansk, Poland;1. Department of Mathematics, Sungkyunkwan University, Suwon 440-746, Republic of Korea;2. Department of Mathematics, Anna University-Regional Centre, Coimbatore 641 047, India;3. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 712-749, Republic of Korea;1. Escuela Superior de Ingeniería y Arquitectura, IPN, Avenida Juan de Dios Batiz, Edificio 12, Zacatenco, 07738, México City, Mexico;2. Instituto Mexicano del Petróleo, Eje Central Lázaro Cárdenas 152, Col. San Bartolo Atepehuacan, 07730, México City, Mexico;1. College of Engineering, Ocean University of China, Qingdao 266100, China;2. Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100, China;3. Powerchina Huadong Engineering Corporation Limited, Hangzhou 310014, China
Abstract:This paper proposes a method to structurally identify inherent dynamic characteristics based on long-term monitored acceleration data of nonlinear offshore platforms under sea-ice excitation. Not all the inherent characteristics can be excited due to the randomness of ice loading and its limited bandwidth. However, the long-term monitored data can reflect most of the conditions of sea-ice excitation. The change of natural characteristics of the platform under ice loads can be identified by analyzing of long-term monitored data. A nonlinear system of two-degree-of-freedom (2DOF) is simulated to identify dynamic characteristics and verify the effectiveness of the proposed method. The method is applied to analyze the acceleration data caused by ice-induction at a jacket platform in Liaodong Bay. The inherent characteristics of the structure can be identified and its variation under different ice-load intensities is summarized.
Keywords:Dynamic characteristics analysis  Nonlinear offshore jacket platform  Sea-ice excitation  Non-stationary environmental load  Long-time monitoring  Acceleration response
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