EXPERIMENTAL STUDY ON HYDRODYNAMIC PERFORMANCE OF A NEW TYPE OF DEEP DRAFT MULTI-COLUMN FDPSO

被引:7
|
作者
Gu, Jia-Yang [1 ]
Xie, Yu-Lin [1 ]
Zhang, Pei [1 ]
Chen, Yu [1 ]
Huang, Xiang-Hong [1 ]
Tao, Yan-Wu [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Naval Architecture & Marine Engn, Zhenjiang, Peoples R China
来源
关键词
multi-column FDPSO; model test; equivalent truncated mooring system; variable cross-section column; spectrum characteristic; WAVES; TLP;
D O I
10.6119/JMST-017-0215-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents an experimental study on the hydrodynamic performance of a new type of deep draft multi-column FDPSO. The operating depth of this new type FDPSO is 1500 m. The main dimension, the special variable cross-section column and the cabin arrangement of the octagonal pontoon are introduced. As taking into account the depth limit of the water basin, the 300 m water-depth equivalent truncated mooring system is adopted. The platform's natural period and dimensionless damping coefficient were measured out by the free decay experiment. The FDPSO's motion responses in operation condition and self-survival condition are studied. At the same time, the tension characteristics of mooring system are analyzed. Then, a numerical simulation is adapted to verify the effectiveness of the truncated mooring system. Based on the 3-D potential flow theory, the motion differential equation is calculated by applying the time domain method. The numerical simulation method is also used to study the effect of current velocity on the platform's surge motion response in the self-survival condition. The results of this study would provide references for the design of the variable cross-section column FDPSO.
引用
收藏
页码:329 / 342
页数:14
相关论文
共 50 条
  • [21] Multi-column Deep Neural Network for Offline Arabic Handwriting Recognition
    Almodfer, Rolla
    Xiong, Shengwu
    Mudhsh, Mohammed
    Duan, Pengfei
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, PT II, 2017, 10614 : 260 - 267
  • [22] Assessment of Hydrodynamic Performance and Motion Suppression of Tension Leg Floating Platform Based on Tuned Liquid Multi-Column Damper
    Cui, Fuyin
    Chen, Shuling
    Hao, Hongbin
    Han, Changzhi
    Ni, Ruidong
    Zhuo, Yueyue
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (02)
  • [23] Multi-Organ Plant Identification With Multi-Column Deep Convolutional Neural Networks
    He, Anfeng
    Tian, Xinmei
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 2020 - 2025
  • [24] Design and Application of New Structure of Prefabricating Multi-Column Wall
    Rui, Yu
    Ming, Cheng
    KNOWLEDGE DISCOVERY AND DATA MINING, 2012, 135 : 651 - 658
  • [25] Numerical and model test study on the hydrodynamic performance of FDPSO with spreading mooring system
    Wei, Y.-F. (weiyuefeng2005@yahoo.com.cn), 1600, China Ship Scientific Research Center (16):
  • [26] Experimental study and numerical simulation on assembled frame with double-beam multi-column joints
    Zhai X.
    Zha X.
    Yuan L.
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2020, 52 (08): : 81 - 87
  • [27] Experimental Study on the Behavior of Existing Reinforced Concrete Multi-Column Piers under Earthquake Loading
    Kim, Jung Han
    Kim, Ick-Hyun
    Lee, Jin Ho
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [28] INVESTIGATIONS INTO MOTION CHARACTERISTICS OF A MULTI-COLUMN TYPE FOWT IN WAVES AND WINDS
    Murai, Motohiko
    Takei, Miki
    Saeki, Hotsuma
    Nihei, Yasunori
    Iijima, Kazuhiro
    Ikoma, Tomoki
    PROCEEDINGS OF THE ASME 32ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING - 2013, VOL 3, 2013,
  • [29] Multi-Column Convolutional Neural Network for Vehicle-Type Classification
    Bouzi, Wissam
    Bentaieb, Samia
    Ouamri, Abdelaziz
    Boumedine, Ahmed Yassine
    ADVANCES IN COMPUTING SYSTEMS AND APPLICATIONS, 2022, 513 : 349 - 359
  • [30] Experimental study on the hydrodynamic performance of an oscillating water column with frontal plates
    Eswaran, S. R. Durai
    Sannasiraj, S. A.
    Sundar, V.
    OCEAN ENGINEERING, 2022, 258