A5058717920- Railway Engineering and Dynamics
- Geotechnical Engineering and Underground Structures
- Structural Engineering and Vibration Analysis
- Seismic Performance and Analysis
- Structural Load-Bearing Analysis
- Structural Health Monitoring Techniques
- Structural Behavior of Reinforced Concrete
- Civil and Geotechnical Engineering Research
- Vibration and Dynamic Analysis
- Vibration Control and Rheological Fluids
- Mechanical stress and fatigue analysis
- Infrastructure Maintenance and Monitoring
- Advanced Fiber Optic Sensors
- Structural Response to Dynamic Loads
- Advanced Photonic Communication Systems
- Fire effects on concrete materials
- Advanced Fiber Laser Technologies
- Concrete Corrosion and Durability
- Synthesis and properties of polymers
- Composite Structure Analysis and Optimization
- Railway Systems and Energy Efficiency
- Dynamics and Control of Mechanical Systems
- Aerodynamics and Fluid Dynamics Research
- Silicone and Siloxane Chemistry
- Simulation and Modeling Applications
Central South University
2016-2025
Hunan University of Science and Technology
2024-2025
China Agricultural University
2022-2024
Ministry of Agriculture and Rural Affairs
2022-2024
Shanghai Power Equipment Research Institute
2016-2024
Huazhong University of Science and Technology
2012-2024
Taishan University
2024
China Railway Group (China)
2023
Institute of Crop Sciences
2022
Waterborne Environmental (United States)
2022
Time–frequency non-stationarity is a ground motion characteristic which frequently neglected in current seismic design and research. This paper studies its impact on the response of high-speed railway simply supported bridge (HSRSSB). A method for generating time–frequency stationary earthquakes (TFSEs) non-stationary (TFNSEs) using wavelet packet transform proposed. finite element model three-span HSRSSB established OpenSees. The obtained through non-linear dynamic time history analysis,...
The durability, robustness, and long-term stability of optical-fiber-based sensors applied to practical engineering have always been challenging problems. Refer the embedded in asphalt pavements, situation becomes serious feasible with enhanced function are high demand. Therefore, an improved design configure quasi-distributed distributed optical fiber FBG-based point for monitoring three-dimensional information multilayered pavements is needed. in-field data declare that transversal,...
Evaluation of the damage and failure sequence key components track-bridge system for high-speed railway under seismic action is basis design a function recovery after earthquake. However, this evaluation has not been studied well. In study, simply supported beam with CRTS II track CRH2 train were taken as research objects. A train-bridge coupled finite element model was established, experimental verification carried out. Ten waves exhibiting highest matching degree site characteristics...
Abstract Chinese high‐speed railway (HSR) network construction has expanded into earthquake‐prone areas. In this context, analyses of post‐seismic residual track irregularity and train speed threshold are vital. With a HSR bridge with system taken as the study object, time‐domain signal for target was constructed based on Gaussian pulse translation theory. The response spectra fitted applicable to stochastic structures were established, thus providing input ascertaining threshold. results...
The increasing prevalence of simply supported bridges in high-speed railway (HSR) lines has raised concerns about the safety trains crossing these during an earthquake. As are typically continuous and long, it is essential to consider effects traveling seismic waves on random vibration train-bridge coupled (TBC) system. To address this issue, new point estimate method (NPEM) used analyze dynamic response parametric sensitivity a three-dimensional TBC system subjected non-uniform ground...
AbstractHigh complexity and randomness in high-speed train-bridge interactive dynamic analysis under earthquake lead to massive calculations railway seismic design. To address this challenge, paper introduces a deep learning-based method at enhancing the computational efficiency of coupled (TBC) system's response prediction. Accordingly, learning framework for predicting stochastic is established by using long short-term memory (LSTM) neural network. Meanwhile, feasible training strategy...