Chao Li

ORCID: 0000-0001-6820-864X
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About
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Research Areas
  • Wind and Air Flow Studies
  • Fluid Dynamics and Vibration Analysis
  • Fluid Dynamics and Turbulent Flows
  • Vibration and Dynamic Analysis
  • Wave and Wind Energy Systems
  • Wind Energy Research and Development
  • Aerodynamics and Fluid Dynamics Research
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Gear and Bearing Dynamics Analysis
  • Advanced Surface Polishing Techniques
  • Structural Engineering and Vibration Analysis
  • Advanced machining processes and optimization
  • Climate variability and models
  • Geotechnical Engineering and Underground Structures
  • Structural Health Monitoring Techniques
  • Lattice Boltzmann Simulation Studies
  • Vibration Control and Rheological Fluids
  • Infrastructure Maintenance and Monitoring
  • Tribology and Lubrication Engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Drilling and Well Engineering
  • Hydraulic and Pneumatic Systems
  • Icing and De-icing Technologies
  • Rock Mechanics and Modeling

Shandong University of Technology
2025

Hunan Institute of Science and Technology
2021-2025

Harbin Institute of Technology
2014-2024

Shenzhen Institute of Information Technology
2023

Dalian University of Technology
2020-2023

Northeastern University
2022

East China Normal University
2022

Chongqing University of Posts and Telecommunications
2022

Huzhou Vocational and Technical College
2022

Yangzhou University
2022

In this study, a demand-based optimal design method is proposed for an oscillator (a single-degree-of-freedom system) with parallel-layout viscous inerter damper (PVID). The overcomes some deficiencies of the existing method, which based on fixed-point theory and mainly suitable tuned mass dampers. Moreover, inherent damping primary structure neglected, global solution cannot be obtained. can obtain more rational practical actual by minimizing both response cost. problem PVID-equipped...

10.1002/stc.2051 article EN Structural Control and Health Monitoring 2017-05-30

We propose an open-source Python platform for applications of deep reinforcement learning (DRL) in fluid mechanics. DRL has been widely used optimizing decision making nonlinear and high-dimensional problems. Here, agent maximizes a cumulative reward by feedback policy acting environment. In control theory terms, the would correspond to cost function, actuator, environment measured signals, learned law. Thus, assumes interactive or, equivalently, plant. The setup numerical simulation plant...

10.1063/5.0103113 article EN Physics of Fluids 2022-07-28

This paper presents an approach to predict crosswind force spectra and associated response of tall buildings with rectangular cross-section based on machine learning (ML) technique random vibration-based analysis. An efficient ML algorithm, light gradient boosting (LGBM), was trained the by using database from Wind Engineering Research Center at Tamkang University embedded in aerodynamic NatHaz Modelling Laboratory. Furthermore, unsupervised K-means clustering, employed advance understanding...

10.1016/j.jweia.2021.104860 article EN cc-by-nc-nd Journal of Wind Engineering and Industrial Aerodynamics 2021-11-25

Hydraulic sandblasting perforation plays a crucial role in the fracturing and reconstruction of unconventional oil gas reservoirs.The jet nozzle is an essential part hydraulic tool.Insufficient penetration depth, caused by excessive distances, presents challenges during process.To overcome this, optimization design structure required to enhance efficiency.In this paper, computational fluid-dynamic model for conical-cylindrical nozzles has been elaborated.To further improve rock-breaking...

10.32604/fdmp.2025.059545 article EN Fluid dynamics & materials processing 2025-01-01

Maintaining optimal dissolved oxygen (DO) levels is critical for aquaculture health and productivity. Traditional mechanical aerators, while effective, are energy-intensive, posing significant operational costs. This study introduces an AIoT-based smart aerator system, integrating artificial intelligence (AI) Internet of Things (IoT) tech nologies to enhance energy efficiency sustainability. Utilizing renewable sources, the system offers a dual power supply ensuring continuous operation...

10.1049/icp.2024.4140 article EN IET conference proceedings. 2025-01-01

To address the challenges associated with garlic single-seed extraction, including seed damage, blockages, and inefficiency of directional placement for irregularly shaped seeds, an air-suction metering device, integrated image recognition orientation technology, was developed. The working principle product is expounded, comprehensive analysis design key components—such as dispenser, needle, combined suction block—are presented. A test bench constructed using Jinxiang hybrid experimental...

10.35633/inmateh-74-64 article EN INMATEH Agricultural Engineering 2025-01-23

WC–Co cemented carbide has been widely used as machining tool material due to its good mechanical properties. Grinding is an important process in the manufacture of tools. When grinding tools, there are problems such excessive force, small chip space, and poor lubrication cooling performance, which turn contribute surface defects burrs, burns, even edge damage chipping. These constrain use so that cutting force unstable quality when service. In this paper, straight-line wavy-texture patterns...

10.3390/ma18030528 article EN Materials 2025-01-24

Floating offshore wind turbines have the potential to commercially convert vast resource in deep-water area. Compared with fixed-bottom turbines, motions of floating foundation complicate vibrations and loads turbine environment. To alleviate responses turbine, this study investigates use fore–aft tuned mass damper (TMD) nacelle/tower for passive control a semi-submersible turbine. A simplified structural model, considering degree-of-freedom platform pitch surge, tower tilt TMD translation,...

10.3390/app7060509 article EN cc-by Applied Sciences 2017-05-26
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