A5061528544- Probabilistic and Robust Engineering Design
- Fatigue and fracture mechanics
- Advanced Multi-Objective Optimization Algorithms
- Turbomachinery Performance and Optimization
- High Temperature Alloys and Creep
- Structural Health Monitoring Techniques
- Nuclear Engineering Thermal-Hydraulics
- Engineering Diagnostics and Reliability
- Model Reduction and Neural Networks
- Vibration and Dynamic Analysis
- Wind and Air Flow Studies
- Hydraulic and Pneumatic Systems
- Bladed Disk Vibration Dynamics
- Structural Response to Dynamic Loads
- Reliability and Maintenance Optimization
- Statistical Distribution Estimation and Applications
- Composite Structure Analysis and Optimization
- Vibration Control and Rheological Fluids
- Advanced SAR Imaging Techniques
- Advanced Sensor Technologies Research
- Water Systems and Optimization
- Optimal Experimental Design Methods
- Flow Measurement and Analysis
- Dynamics and Control of Mechanical Systems
- Structural Behavior of Reinforced Concrete
Hong Kong Polytechnic University
2022-2025
Suzhou University of Science and Technology
2025
Beihang University
2016-2024
Harbin University of Science and Technology
2015-2016
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....
To reasonably implement the reliability analysis and describe significance of influencing parameters for multi-failure modes turbine blisk, advanced multiple response surface method (AMRSM) was proposed mode sensitivity reliability. The mathematical model AMRSM established basic principle with given. important blisk failures are obtained by blisk. Through analyses failure (deformation, stress strain) considering fluid–thermal–solid interaction, it is shown that comprehensive 0.9931 when...
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...
Abstract With the continuous advancement and maturation of technologies such as big data, artificial intelligence, virtual reality, robotics, human-machine collaboration, augmented many enterprises are finding new avenues for digital transformation intelligent upgrading. Industry 5.0, a further extension development 4.0, has become an important trend in industry with more emphasis on human-centered sustainability flexibility. Accordingly, both industrial metaverse twins have attracted much...
Abstract The pivotal problem in reliability analysis is how to use as few actual assessments possible obtain an accurate failure probability. Although adaptive Kriging provides a viable method address this problem, unsatisfied surrogate accuracy and modeling samples often lead unacceptable computing burden. In paper, optimized combining efficient sampling (AOK‐ES) proposed: first, enhance the approximation ability, high‐fidelity model (OKM) established; further, ensure quality of OKM...