Daolin Xu

Hunan University

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Haicheng Zhang

Hunan University

Yousheng Wu

Wuhan Ship Development & Design Institute

Shuyan Xia

Guangzhou University

Qijia Shi

Changsha University of Science and Technology

Rui Ding

Guizhou University of Finance and Economics

Jiaxi Zhou

China Electronics Technology Group Corporation

Huai Zhao

Southwest Jiaotong University

Chao Tian

Wuhan Ship Development & Design Institute

E.R. Qi

Nanjing University of Posts and Telecommunications

Xu Han

Hunan University

Cooperative Institutions

Hunan University

Wuhan Ship Development & Design Institute

Shanghai Jiao Tong University

Guangzhou University

Chinese Academy of Sciences

Southwest Jiaotong University

University of Chinese Academy of Sciences

China University of Mining and Technology

Xiamen University of Technology

Zhejiang University

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Experimental and numerical study on motion instability of modular floating structures

Nonlinear Dynamics (2022)

Rui Ding Haicheng Zhang Daolin Xu Chunrong Liu Qijia Shi

Parametric oscillator

Flume

Mode (computer interface)

10.1007/s11071-022-08163-2

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Citations (7)

Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data

Energy (2020)

Ze Sun Haicheng Zhang Daolin Xu Xiaolong Liu Jun Ding

Hindcast

Wave Power

Significant wave height

Wave height

10.1016/j.energy.2020.117218

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Citations (26)

An application of network modeling method to scientific research and demonstration platform—Connector load analysis

Journal of Hydrodynamics (2021)

Rui Ding Du-lei Yan Haicheng Zhang Ye Lu Qijia Shi

Network Analysis

10.1007/s42241-021-0011-2

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Citations (4)

Sensitivity analysis of parametric errors on the performance of a torsion quasi-zero-stiffness vibration isolator

International Journal of Mechanical Sciences (2017)

Kai Wang Jiaxi Zhou Daolin Xu

Isolator

10.1016/j.ijmecsci.2017.10.026

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Citations (70)

Catastrophe Pre-Warning of Multi-Modular Floating Platforms with Ordinal Partition Networks

International Journal of Computational Methods (2020)

Guangyu Yang Daolin Xu Haicheng Zhang

Use of artificial networks to signify the onset of dynamic catastrophes in engineering systems is a simple and efficient strategy. Here an ordinal partition network and its construction from time series are introduced. The selection of mapping parameter is discussed in detail, which may significantly enhance the performance of the proposed method. Topological properties of the resulting network can sensitively detect the dynamic changes of original underlying systems, making the strategy workable. A Catastrophe Prediction Index (CPI) is proposed to serve as a monitoring indicator for pre-warning catastrophe events. The numerical results verify the feasibility of the proposed method.

Network partition

Catastrophe Theory

Ordinal optimization

10.1142/s0219876220500103

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Citations (10)

Embedded Power Take-Off in hinged modularized floating platform for wave energy harvesting and pitch motion suppression

Renewable Energy (2019)

Haicheng Zhang Daolin Xu Rui Ding Huai Zhao Ye Lu

10.1016/j.renene.2019.01.092

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Citations (21)