A5090352836- Acoustic Wave Phenomena Research
- Aerodynamics and Acoustics in Jet Flows
- Wind and Air Flow Studies
- Noise Effects and Management
- Vibration and Dynamic Analysis
- Probabilistic and Robust Engineering Design
- Vehicle Noise and Vibration Control
- Fluid Dynamics and Vibration Analysis
- Hearing Loss and Rehabilitation
- Aerodynamics and Fluid Dynamics Research
- Speech and Audio Processing
- Turbomachinery Performance and Optimization
- Structural Health Monitoring Techniques
- Brake Systems and Friction Analysis
- Advanced Adaptive Filtering Techniques
- Railway Engineering and Dynamics
- Hydraulic and Pneumatic Systems
- Combustion and flame dynamics
- Vibration Control and Rheological Fluids
- Material Properties and Processing
- Music Technology and Sound Studies
- Tribology and Lubrication Engineering
- Ultrasonics and Acoustic Wave Propagation
- Advanced Combustion Engine Technologies
- Computational Fluid Dynamics and Aerodynamics
Hong Kong Polytechnic University
2016-2025
Acoustical Society of America
2007
Scripps Institution of Oceanography
2007
University of Hong Kong
2005
In structural simulation and design, an accurate computational model directly determines the effectiveness of performance evaluation. To establish a high-fidelity dynamic complex assembled structure, Hierarchical Model Updating Strategy (HMUS) is developed for Finite Element (FE) updating with regard to uncorrelated modes. The principle HMUS first elaborated by integrating hierarchical modeling concept, technology proper mode treatment, parametric modeling. strategy, correct correlated pairs...
Turbine blisk is one of the typical components gas turbine engines. The fatigue life directly affects reliability and safety both aeroengine whole-body. To monitor performance degradation an aeroengine, efficient deep learning-based modeling method called convolutional-deep neural network (C-DNN) proposed by absorbing advantages convolutional (CNN) (DNN), to perform probabilistic low cycle (LCF) prediction regarding uncertain influencing parameters. In C-DNN method, CNN used extract useful...
A number of studies have been initiated to explore how improve the soundscape quality in urban parks. However, good parks cannot be provided without a thorough understanding complex relationships among sound, environment, and individuals. As acoustic comfort is considered an important outcome quality, this study investigates relative impacts factors influencing evaluation by formulating multivariate ordered logit model. This also explores inter-relationships evaluation, acceptability...
To accurately reveal rolling bearing operating status, multi-feature entropy distance method was proposed for the process character analysis and diagnosis of faults by integration four information entropies in time domain, frequency domain time–frequency two kinds signals including vibration acoustic emission signals. The investigated basic thought fault with given. Through rotor simulation test rig, six (ball fault, inner race outer ball faults, inner–outer normal) are gained under...
For the fatigue reliability analysis of aeroengine blade-disc systems, traditional direct integral modelling methods or separate independent will lead to low computational efficiency accuracy. In this work, a physics-informed ensemble learning (PIEL) method is proposed, i.e. firstly, based on physical characteristics complex multi-component split into series single-component analyses; moreover, PIEL model established by introducing mapping multiple constitutive responses and multi-material...
To improve the efficiency and accuracy of rare event reliability analysis complex structures, an advanced adaptive Kriging-based candidate sample reduction strategy (AK-CSR) method is proposed by integrating Kriging method. Through improved first-order updated model, accurate most probable failure point can be obtained with update Kriging. By domain constraint distance functions, CSR ceaselessly find desired samples to model. The verified three numerical examples two engineering examples....
Bubbles are widely present in nature. However, previous scientific studies have primarily focused on the development of outer contour bubble while neglecting changing behavior internal flow field due to difficulty implementing experiments. This study designs a simple experimental device that can conveniently observe changes inside avoiding tedious operation and high costs associated with particle image velocimetry (PIV) system. Accordingly, this experiment investigates process velocity...