A5010419450- Fluid Dynamics Simulations and Interactions
- Wave and Wind Energy Systems
- Fluid Dynamics and Vibration Analysis
- Ship Hydrodynamics and Maneuverability
- Structural Integrity and Reliability Analysis
- Wind and Air Flow Studies
- Ocean Waves and Remote Sensing
- Robotics and Sensor-Based Localization
- Coastal and Marine Dynamics
- Underwater Vehicles and Communication Systems
- Image Enhancement Techniques
- Robotic Path Planning Algorithms
- Earthquake and Tsunami Effects
- Tropical and Extratropical Cyclones Research
- Thermography and Photoacoustic Techniques
- Power Line Inspection Robots
- Infrared Target Detection Methodologies
- Inertial Sensor and Navigation
- Marine and Offshore Engineering Studies
- Geotechnical Engineering and Underground Structures
- Wind Energy Research and Development
- Vibration and Dynamic Analysis
- Aerodynamics and Fluid Dynamics Research
- Freezing and Crystallization Processes
- Magnetic Bearings and Levitation Dynamics
Shanghai Jiao Tong University
2016-2025
Institute of Deep-Sea Science and Engineering
2020-2024
Shanghai Ocean University
2016-2024
Shanghai Power Equipment Research Institute
2022-2024
State Key Laboratory of Ocean Engineering
2023
Sanya University
2023
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2016-2020
Taiyuan Heavy Industry (China)
2020
Severe wave run-ups on a surface-piercing column leading to strong uprush water jets may cause unexpected impact loads offshore structures. To reveal the underlying mechanism related complicated wave–column interaction, this paper investigates occurrence and evolution of fixed square under focused waves experimentally numerically by comparing run-up profiles, column, velocity pressure fields in cases different peak periods steepnesses. The results manifested that very steep is significantly...
Abstract Wave runup prediction is necessary for offshore structure designs and early warnings. Data-driven methods based on machine learning have inspired reduced-order solutions wave–structure interaction problems. This study provides the quantification of deep algorithms’ potential wave prediction. Two prominent models were utilized to predict runups along fore column semisubmersible under head seas. The long short-term memory (LSTM) temporal convolutional networks (TCNs) comprehensively...
Performance analysis is conducted for an adaptive bistable point absorber wave energy converter under white noise excitation. The power capture mechanism composed of two oblique springs responsible characteristics, and auxiliary realizing the `adaptive' feature. White excitation adopted to explore effects multi-frequency input in absence different distribution characteristics. Time domain simulations are performed based on Cummins equations derived from linear potential flow theory. Results...
Nonlinear wave runup could result in serious impact on the local structures of offshore platforms rough seas. The reliable and efficient prediction is beneficial to provide essential information for design operation platforms. This work aims develop a novel data-driven method achieve nonlinear mapping underlying wave-structure interactions. Temporal Convolution Network (TCN) model was employed predict along column semi-submersible head incident vertical motions including heave, roll, pitch...
Abstract A method of investigating the hydrodynamic characteristics and deformation a quadrate gravity fish farm is presented in this paper, which focus on two components: net cage floating collar. First, lumped mass model screen are adopted to simulate structure calculate force acting net; discrete-module-beam (DMB) applied analyze hydroelastic response And convergence analysis conducted determine reasonable grid division form Then, drag forces rigid flexible circular cylindrical...
The accurate measurement of the wave field and its spatiotemporal evolution is essential in many hydrodynamic experiments engineering applications. binocular stereo imaging technique has been widely used to measure waves. However, optical properties indoor water surfaces, including transparency, specular reflection, texture absence, pose challenges for image processing reconstruction. This study proposed a novel that combined thermal stereography deep learning achieve fully noncontact...