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Associate Professor Wenhua Zhao
Associate Professor

Wenhua Zhao

Email: 
Phone: 
+61 7 336 53896

Overview

Background

Wenhua Zhao is an Associate Professor at The University of Queensland and a globally recognized expert in offshore hydrodynamics and renewable energy technologies.

He is the recipient of the prestigious ARC Future Fellowship (2024-2028) and DECRA Fellowship (2019-2022), with over 110 publications and six awards influencing both industry and academia. He has helped secure over AUD30 million research funding from both Australian Research Council and industry, contributing to transformative engineering practices in renewable energy sectors and oil & gas industry.

His research focuses on wave-structure interactions, spanning groundbreaking fundamental studies -- showcased by his multiple publications in Journal of Fluid Mechanics -- to industry-focused applications, a rare integration of theoretical research with practical implementation. He pioneers innovations in floating wind energy, floating solar, offshore aquaculture, and green hydrogen, leveraging artificial intelligence to transform offshore renewable energies.

Wenhua has been a Deputy Editor for Ocean Engineering (No. 1 in marine engineering, ISI web), Associate Editor for the renowned ASME's Journal of OMAE, and editorial board member for the Q1 journal Applied Ocean Research. His teaching, particularly the "Design of Offshore Energy Systems" course, has prepared hundreds of students for impactful careers in coastal and ocean engineering.

Availability

Associate Professor Wenhua Zhao is:
Available for supervision

Qualifications

  • Doctor of Philosophy of Ocean Engineering, Shanghai Jiao Tong University

Works

Search Professor Wenhua Zhao’s works on UQ eSpace

50 works between 2014 and 2025

1 - 20 of 50 works

2025

Journal Article

Dynamic analysis to reduce the cost for fixed offshore wind energy turbines

Ma, Yuxiang, Zhao, Rubo, Zhao, Wenhua, Tai, Bing and Dong, Guohai (2025). Dynamic analysis to reduce the cost for fixed offshore wind energy turbines. Applied Energy, 378 (Part A) 124804. doi: 10.1016/j.apenergy.2024.124804

Dynamic analysis to reduce the cost for fixed offshore wind energy turbines

2024

Journal Article

Design and modeling of an eco-friendly anchored fish aggregating device with artificial reef subjected to wave and current

Zhang, Tongzheng, Zhao, Wenhua, Zhou, Cheng, Zhao, Fenfang and Wan, Rong (2024). Design and modeling of an eco-friendly anchored fish aggregating device with artificial reef subjected to wave and current. Ocean Engineering, 313 119599, 1-15. doi: 10.1016/j.oceaneng.2024.119599

Design and modeling of an eco-friendly anchored fish aggregating device with artificial reef subjected to wave and current

2024

Journal Article

Hydrodynamic performance of a monopile offshore wind turbine in extreme wave groups

Zhao, Rubo, Zhao, Wenhua, Ma, Yuxiang, Tai, Bing and Dong, Guohai (2024). Hydrodynamic performance of a monopile offshore wind turbine in extreme wave groups. Ocean Engineering, 312 119328, 1-13. doi: 10.1016/j.oceaneng.2024.119328

Hydrodynamic performance of a monopile offshore wind turbine in extreme wave groups

2024

Journal Article

AI-based dynamic avoidance in deep-sea mining

Chen, Qihang, Yang, Jianmin, Zhao, Wenhua, Tao, Longbin, Mao, Jinghang and Lu, Changyu (2024). AI-based dynamic avoidance in deep-sea mining. Ocean Engineering, 311 118945, 1-11. doi: 10.1016/j.oceaneng.2024.118945

AI-based dynamic avoidance in deep-sea mining

2024

Journal Article

Experimental study on the hydrodynamic performance of a multi-DOF WEC-type floating breakwater

Zhou, Binzhen, Lin, Chusen, Huang, Xu, Zhang, Hengming, Zhao, Wenhua, Zhu, Songye and Jin, Peng (2024). Experimental study on the hydrodynamic performance of a multi-DOF WEC-type floating breakwater. Renewable and Sustainable Energy Reviews, 202 114694, 202. doi: 10.1016/j.rser.2024.114694

Experimental study on the hydrodynamic performance of a multi-DOF WEC-type floating breakwater

2024

Journal Article

Phase-resolved wave prediction with varying buoy positions in the field using machine learning-based methods

Chen, Jialun, Hlophe, Thobani, Gunawan, David, Taylor, Paul H., Milne, Ian A. and Zhao, Wenhua (2024). Phase-resolved wave prediction with varying buoy positions in the field using machine learning-based methods. Ocean Engineering, 307 118107, 1-13. doi: 10.1016/j.oceaneng.2024.118107

Phase-resolved wave prediction with varying buoy positions in the field using machine learning-based methods

2024

Journal Article

Weakly nonlinear surface wave prediction using a data-driven method with the help of physical understanding

Chen, Jialun, Milne, Ian A., Gunawan, David, Taylor, Paul H. and Zhao, Wenhua (2024). Weakly nonlinear surface wave prediction using a data-driven method with the help of physical understanding. Journal of Offshore Mechanics and Arctic Engineering, 146 (4) 041201, 4. doi: 10.1115/1.4064109

Weakly nonlinear surface wave prediction using a data-driven method with the help of physical understanding

2024

Journal Article

An experimental study on global motions and structural internal loads of a 5 MW floating wind turbine supported on a multi-segment semi-submersible hull in shallow water

Ma, Yueyuan, Deng, Shi, Wang, Shuaishuai, Chen, Peng, Zhao, Wenhua and Cheng, Zhengshun (2024). An experimental study on global motions and structural internal loads of a 5 MW floating wind turbine supported on a multi-segment semi-submersible hull in shallow water. Marine Structures, 95 103582, 95. doi: 10.1016/j.marstruc.2024.103582

An experimental study on global motions and structural internal loads of a 5 MW floating wind turbine supported on a multi-segment semi-submersible hull in shallow water

2024

Journal Article

Algorithms for dynamic control of a deep-sea mining vehicle based on deep reinforcement learning

Chen, Qihang, Yang, Jianmin, Zhao, Wenhua, Tao, Longbin, Mao, Jinghang and Li, Zhiyuan (2024). Algorithms for dynamic control of a deep-sea mining vehicle based on deep reinforcement learning. Ocean Engineering, 298 117199, 1-14. doi: 10.1016/j.oceaneng.2024.117199

Algorithms for dynamic control of a deep-sea mining vehicle based on deep reinforcement learning

2024

Journal Article

Experimental and numerical investigation of gap resonances between side-by-side fixed barges under beam sea excitation

Zou, Meiyan, Chen, Mingsheng, Zhu, Ling, Yun, Qihao, Zhao, Wenhua, Liang, Qiyu and Zhao, Yanjie (2024). Experimental and numerical investigation of gap resonances between side-by-side fixed barges under beam sea excitation. Ocean Engineering, 297 117150, 1-16. doi: 10.1016/j.oceaneng.2024.117150

Experimental and numerical investigation of gap resonances between side-by-side fixed barges under beam sea excitation

2024

Journal Article

What a wave buoy actually measures in 3D: analysis of a mild sea state

Ding, Yue, Taylor, Paul H., Zhao, Wenhua and Dory, Jean-Noel (2024). What a wave buoy actually measures in 3D: analysis of a mild sea state. Journal of Offshore Mechanics and Arctic Engineering, 146 (2) 021203, 2. doi: 10.1115/1.4064110

What a wave buoy actually measures in 3D: analysis of a mild sea state

2024

Journal Article

A fully coupled time domain model capturing nonlinear dynamics of float-over deck installation

Chen, Mingsheng, Zou, Meiyan, Zhu, Ling, Ouyang, MingJun, Liang, Qiyu and Zhao, Wenhua (2024). A fully coupled time domain model capturing nonlinear dynamics of float-over deck installation. Ocean Engineering, 293 116721, 1-26. doi: 10.1016/j.oceaneng.2024.116721

A fully coupled time domain model capturing nonlinear dynamics of float-over deck installation

2024

Conference Publication

Hydrodynamic performance of 2D undulating fins under flow excitation near the free surface

Liu, Chenxiang, Wang, Chenglong, Zhang, Xiantao and Zhao, Wenhua (2024). Hydrodynamic performance of 2D undulating fins under flow excitation near the free surface. 34th International Ocean and Polar Engineering Conference, Rhodes, Greece, 16 - 21 June 2024. Mountain View, CA, United States: International Society of Offshore and Polar Engineers.

Hydrodynamic performance of 2D undulating fins under flow excitation near the free surface

2024

Conference Publication

Design analysis of shared mooring for floating offshore wind farm

Li, Binbin, Wang, Chenyu, Yang, Lei and Zhao, Wenhua (2024). Design analysis of shared mooring for floating offshore wind farm. ASME 43rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE), Singapore, Singapore, 9-14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME).

Design analysis of shared mooring for floating offshore wind farm

2024

Conference Publication

Linear and nonlinear pitch response of a floating wind turbine

Ma, Yueyuan, Cheng, Zhengshun, Zhao, Wenhua, Wang, Shuaishuai, Xiao, Longfei and Peng, Tao (2024). Linear and nonlinear pitch response of a floating wind turbine. ASME 2024: 43rd International Conference on Ocean, Offshore and Arctic Engineering, Singapore, Singapore, 9-14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME). doi: 10.1115/OMAE2024-125619

Linear and nonlinear pitch response of a floating wind turbine

2024

Conference Publication

Comparison of two types of wave buoys: linear and second-order motion

Ding, Yue, Taylor, Paul H., Hlophe, Thobani and Zhao, Wenhua (2024). Comparison of two types of wave buoys: linear and second-order motion. ASME 2024: 43rd International Conference on Ocean, Offshore and Arctic Engineering, Singapore, Singapore, 9-14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME). doi: 10.1115/OMAE2024-127016

Comparison of two types of wave buoys: linear and second-order motion

2024

Conference Publication

Development of an experimental system to investigate viscous damping of oscillatory flow between two vessels

Yang, Yuhang, Zhao, Wenhua, Draper, Scott and Wolgamot, Hugh (2024). Development of an experimental system to investigate viscous damping of oscillatory flow between two vessels. ASME 2024: 43rd International Conference on Ocean, Offshore and Arctic Engineering, Singapore, Singapore, 9–14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME). doi: 10.1115/OMAE2024-128004

Development of an experimental system to investigate viscous damping of oscillatory flow between two vessels

2024

Conference Publication

An attention-based deep learning model for phase-resolved wave prediction

Chen, Jialun, Gunawan, David, Zhao, Wenhua, Taylor, Paul H., Chen, Yunzhuo and Milne, Ian A. (2024). An attention-based deep learning model for phase-resolved wave prediction. ASME 2024: 43rd International Conference on Ocean, Offshore and Arctic Engineering, Singapore, Singapore, 9-14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME). doi: 10.1115/OMAE2024-127605

An attention-based deep learning model for phase-resolved wave prediction

2024

Conference Publication

Vessel motion during side-by-side offloading: comparison of field data and numerical model

Wang, Yutao, Wolgamot, Hugh, Zhao, Wenhua, Draper, Scott and Watson, Phillip (2024). Vessel motion during side-by-side offloading: comparison of field data and numerical model. ASME 2024: 43rd International Conference on Ocean, Offshore and Arctic Engineering, Singapore, Singapore, 9-14 June 2024. New York, NY, United States: American Society of Mechanical Engineers (ASME). doi: 10.1115/OMAE2024-128336

Vessel motion during side-by-side offloading: comparison of field data and numerical model

2023

Journal Article

Oceanographic wave buoy motion as a 3D-vector field: Spectra, linear components and bound harmonics

Ding, Yue, Taylor, Paul H., Zhao, Wenhua, Dory, Jean-Noel, Hlophe, Thobani and Draper, Scott (2023). Oceanographic wave buoy motion as a 3D-vector field: Spectra, linear components and bound harmonics. Applied Ocean Research, 141 103777, 141. doi: 10.1016/j.apor.2023.103777

Oceanographic wave buoy motion as a 3D-vector field: Spectra, linear components and bound harmonics

Supervision

Availability

Associate Professor Wenhua Zhao is:
Available for supervision

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Media

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