A5070266422- Structural Health Monitoring Techniques
- Ultrasonics and Acoustic Wave Propagation
- Structural Engineering and Vibration Analysis
- Probabilistic and Robust Engineering Design
- Machine Fault Diagnosis Techniques
- Seismic Performance and Analysis
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Vibration and Dynamic Analysis
- Image and Signal Denoising Methods
- Railway Engineering and Dynamics
- Structural Load-Bearing Analysis
- Geotechnical Engineering and Underground Structures
- Structural Response to Dynamic Loads
- Wind and Air Flow Studies
- Non-Destructive Testing Techniques
- Optical measurement and interference techniques
- Composite Structure Analysis and Optimization
- Structural Behavior of Reinforced Concrete
- Acoustic Wave Phenomena Research
- Advanced Multi-Objective Optimization Algorithms
- Fatigue and fracture mechanics
- Advanced Image Processing Techniques
- Advanced Fiber Optic Sensors
- Geotechnical Engineering and Soil Stabilization
Shenzhen University
2020-2024
First Affiliated Hospital of Xinjiang Medical University
2024
Xinjiang Medical University
2024
Northwestern Polytechnical University
2023-2024
Hefei University of Technology
2013-2023
Anhui Special Equipment Inspection Institute
2020
Central South University
2004-2013
Zhengzhou University of Aeronautics
2010
Fuzhou University
2002-2005
Changsha University
1999
Based on an extensive list of research work, expansive soil is renowned for its swelling-shrinkage property. Despite the wealth research, strength characteristics soil, which are more complicated than common clayey and characterized by a considerable loss postpeak strength, have not been fully investigated. Within this area study, reinforcement with discrete, short natural fibers attracting increased attention in geotechnical applications, part thanks to unique advantages that material...
Central to structural health monitoring (SHM) is data modeling, manipulation, and interpretation on the basis of a sophisticated SHM system. Despite continuous evolution technology, precise modeling forecasting measurements under various uncertainties extract condition-relevant knowledge remains challenge. Aiming resolve this problem, novel application fully probabilistic high-precision method was proposed in context an improved Sparse Bayesian Learning (iSBL) scheme. The iSBL framework...
With the aid of response surface methodology, which is a combination mathematical and statistical techniques, this paper presents method for updating finite-element model based on measured static responses structures. Unlike in traditional procedure, original models are replaced with constructed using uniform design. By means complexity structure can be easily expressed by explicit functions low dimensions. A parameter scope shrinking technique also proposed to construct models. The verified...
Parameter selection is a key step in finite-element-model updating (FEMU) because it determines whether the task of FEMU successful or not. The as-built engineering structures are inevitably subject to many sources uncertainty such as geometric dimension variability due manufacture process, inherent random variation materials, and imprecisely known boundary conditions. Uncertainty involving parameters challenges parameter FEMU. In this paper, powerful global sensitivity analysis (GSA)...
This paper presents a new technique to estimate the dynamic displacement based on strain mode shapes of beam structures with sensors. Strain are first estimated from cross-correlation function measured data. Then, can be displacement-strain relation. For an oscillating structure under service conditions, response expressed as superposition their corresponding weighed by modal coordinates. Thus, knowing and data, coordinates estimated. The then obtained method is verified numerical...
Expansion joints of bridges are vulnerable to damage due the thermal expansion and contraction, vehicle traffic, so forth. Currently, temperature–displacement relationship model may be only qualitative method for condition evaluation bridge using field monitoring data. The quantitative assessment based on finite element updating techniques is heavy computational burden time consuming. Therefore, a Gaussian process (GP) metamodel-based proposed in this study performed identification boundary...