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Research Papers: Ocean Engineering

Motion Characteristic Analysis of a Floating Structure in the South China Sea Based on Prototype Monitoring

[+] Author and Article Information
Wen-Hua Wu

Department Mechanics Engineering,
State Key Laboratory of Structural Analysis for
Industrial Equipment,
Dalian University of Technology,
Dalian 116024, China
e-mail: lxyuhua@dlut.edu.cn

Da Tang

Computer Science and Technology College,
Dalian University of Technology,
Dalian 116024, China
e-mail: tangda@dlut.edu.cn

Xiao-Wei Cui

Department Mechanics Engineering,
Dalian University of Technology,
Dalian 116024, China
e-mail: 553726772@qq.com

Shi-Sheng Wang

CNOOC(China) Co. Ltd.,
Beijing 100000, China;
Computer Science and Technology College,
Dalian University of Technology,
Dalian 116024, China
e-mail: wangshsh@cnooc.com.cn

Jia-Guo Feng

CNOOC(China) Co. Ltd.,
Beijing 100000, China;
Computer Science and Technology College,
Dalian University of Technology,
Dalian 116024, China
e-mail: fengjg@cnooc.com.cn

Qian-Jin Yue

School of Ocean Science and Technology,
Dalian University of Technology,
Panjin 124200, China
e-mail: yueqj@dlut.edu.cn

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received July 12, 2017; final manuscript received September 6, 2018; published online October 12, 2018. Assoc. Editor: Lizhong Wang.

J. Offshore Mech. Arct. Eng 141(2), 021102 (Oct 12, 2018) (9 pages) Paper No: OMAE-17-1108; doi: 10.1115/1.4041533 History: Received July 12, 2017; Revised September 06, 2018

Due to the complexity of ocean environmental loading models and the nonlinearity and empirical parameters involved in hydrodynamic numerical modeling and model testing, many uncertainties still exist in the design and operation of floating platforms. On-site prototype measurements provide a valid strategy for obtaining accurate environmental loading parameters and floater motion responses. A prototype monitoring system was built as part of a joint industrial project in the South China Sea. Long-term ocean environmental loading parameter data and structural dynamic motion responses were collected from 2012 to the present. In this study, the dynamic motions of the platform structure were analyzed using an artificial neural network (ANN) and data obtained during a typhoon. Numerical modeling was performed to analyze the platform parameters using a radial basis function (RBF), and hydrodynamic modeling was conducted using ansys-aqwa. Five geometric parameters related to the platform design were selected for optimization and included the mass, moments of inertia of the three rotation degrees, and the position of the center of gravity (COG). The mean values of the surge and pitch and the standard deviations of the roll and pitch were used as the input parameters. The model validations showed that the proposed ANN-based method performed well for obtaining the optimal platform parameters. The maximum errors of the roll, pitch, surge, and sway motions were within 5%. The updated response amplitude operators (RAOs) and new design indices for a 100-year return period of a typhoon were determined to guide operations and evaluate platform designs.

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Figures

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Fig. 1

Logic diagram of the prototype measurement system

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Fig. 2

Layout of the prototype monitoring system

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Fig. 3

JONSWAP spectrum and measured wave spectrum

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Fig. 4

Representation of an RBF neural network

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Fig. 5

Hydrodynamic model of the NHTZ FPS

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Fig. 6

Coupled floater and mooring model of the NHTZ FPS

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Fig. 7

Comparisons of the RAOs of the updated platform model and the initial RAOs for the wave directions of 0 deg, 45 deg, and 90 deg. (a) RAOs with wave direction (0 deg): (a1) surge, (a2) heave, and (a3) pitch, (b) RAOs with wave direction (45 deg): (b1) surge, (b2) sway, (b3) heave, (b4) roll, (b5) pitch, and (b6) yaw, (c) RAOs with wave direction (90 deg): (c1) sway, (c2) heave, and (c3) roll.

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Fig. 8

Movements in the six degrees-of-freedom in the temporal and spectral domains: (a) surge, (b) sway, (c) heave, (d) roll, (e) pitch, and (f) yaw

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