A5009812651- Wind and Air Flow Studies
- Fluid Dynamics and Vibration Analysis
- Aerodynamics and Fluid Dynamics Research
- Fluid Dynamics and Turbulent Flows
- Model Reduction and Neural Networks
- Seismic and Structural Analysis of Tall Buildings
- Structural Engineering and Vibration Analysis
- Vibration and Dynamic Analysis
- Building Energy and Comfort Optimization
- Meteorological Phenomena and Simulations
- Aeolian processes and effects
- Structural Health Monitoring Techniques
- Vibration Control and Rheological Fluids
- Tree Root and Stability Studies
- Tropical and Extratropical Cyclones Research
- Urban Heat Island Mitigation
- Wind Energy Research and Development
- Plant Water Relations and Carbon Dynamics
- Noise Effects and Management
- Seismic Performance and Analysis
- BIM and Construction Integration
- Ocean Waves and Remote Sensing
- Climate variability and models
- Evacuation and Crowd Dynamics
- Fluid Dynamics Simulations and Interactions
Hong Kong University of Science and Technology
2016-2025
University of Hong Kong
2016-2025
Macquarie University
2022-2024
Primary Health Care
2022-2024
Harbin Institute of Technology
2021-2024
Huawei Technologies (China)
2019
University Town of Shenzhen
2017
Tsinghua University
2017
The University of Sydney
2017
Wuhan University
2017
A rectangular cylinder, with an aspect ratio of 5, is a widely used bluff body in engineering practice. It undergoes intricate dynamical behavior response to minute alterations the flow angle attack (α). These modifications invariably precipitate failure wake control for classical methods various α values. In this study, global linear instability, adjoint method, and sensitivity analysis are employed identify optimal position control. found that sensitive region gradually transitions from...
This study proposes a three-dimensional mode-based surrogate framework to predict the tornado-like vortex (TLV) derived from fuzzy neural network and delayed proper orthogonal decomposition method. First, near-break-down TLV is simulated via large-eddy simulation, its mean, fluctuating statistical flow feature analyzed. Then, spatiotemporal features of coherent structure are extracted interpreted. Next, capability proposed future state an unsteady chaotic field systematically evaluated,...
This study aims to expand the aeroelastic unstable range of a circular cylinder for improving efficiency vortex-induced vibration (VIV)-based wind energy harvester. The kinetic harvester is provided by flow-induced cylinder. Two small-diameter cylindrical rods were attached on two sides parallel axis and symmetrical stagnation line at series circumferential locations. was inspired rain-wind-induced vibrations stay-cables cable-stayed bridges. It found that attaching location θ = 60°...
This study examines effects of the splitter plate placed in near wake a circular cylinder on performance piezoelectric wind energy harvester through tunnel experiments. The kinetic is gained by wind-induced vibrations cylinder. attached to leeward side ratio length diameter (Lsp/D) ranges from 0.25 2.00. After attaching with an appropriate length, able sustain large amplitude beyond speed range corresponding vortex-induced vibrations. Thus, upper bound for harness eliminated, which...
This study used explainable machine learning (XML), a new branch of Machine Learning (ML), to elucidate how ML models make predictions. Three tree-based regression models, Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boost (XGB), were predict the normalized mean (Cp,mean), fluctuating (Cp,rms), minimum (Cp,min), maximum (Cp,max) external wind pressure coefficients low-rise building with fixed dimensions in urban-like settings for several incidence angles. Two types XML —...
Scientific research and engineering practice often require the modeling decomposition of nonlinear systems. The Dynamic Mode Decomposition (DMD) is a novel Koopman-based technique that effectively dissects high-dimensional systems into periodically distinct constituents on reduced-order subspaces. As mathematical hatchling, DMD bears vast potentials yet an equal degree unknown. This serial effort investigates nuances sampling with engineering-oriented emphasis. Part I aimed at elucidating...
This work develops a data analysis procedure, namely, proper orthogonal decomposition (POD)-dynamic mode (DMD) augmented analysis, to isolate the energy- and evolution-wise dominant features of flow field in street canyon. combination aims extract modes imposing critical influence on pollutant dispersion from both energetic dynamic perspectives. The two techniques were first conducted based large-eddy simulation results. Subsequently, POD DMD ranking, extracted classified into three types:...