Tianxing Wen

ORCID: 0000-0003-1844-530X
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About
Contact & Profiles
Research Areas
  • Seismic Performance and Analysis
  • Railway Engineering and Dynamics
  • Structural Engineering and Vibration Analysis
  • Structural Behavior of Reinforced Concrete
  • Geotechnical Engineering and Underground Structures
  • Structural Health Monitoring Techniques
  • Concrete Corrosion and Durability
  • Structural Response to Dynamic Loads
  • Structural Load-Bearing Analysis
  • Infrastructure Maintenance and Monitoring
  • Civil and Geotechnical Engineering Research
  • Evaluation Methods in Various Fields
  • Fire effects on concrete materials
  • Seismic Waves and Analysis
  • High-Velocity Impact and Material Behavior

Central South University
2022-2024

Foshan University
2024

Topographic effects significantly influence the propagation of seismic activity; however, research on differences between mountainous and plateau terrains remains scarce. This paper focused 2008 Wenchuan earthquake, analyzing a five-span high-speed railway simply supported by bridge through dynamic time-history analysis. Stations were categorized into groups based their average shear wave velocity for top 30[Formula: see text]m ([Formula: text] values elevation, aiming to explore impact...

10.1142/s0219455425501706 article EN International Journal of Structural Stability and Dynamics 2024-08-27

Near-fault ground motions may cause serious damage and consequence of high-speed railway bridges (HSRBs), since their particularly detrimental effects, including the hanging-wall effects velocity pulse effects. However, induced seismic demand depends on complex relationship between natural vibration characteristics structures frequent contents motions, leading to difficulty in attributing less attenuation or/and above special This work adopts a framework select motion suite with specified...

10.1142/s0219455426500744 article EN International Journal of Structural Stability and Dynamics 2024-11-08

The seismic damage of interlayer continuous components in high-speed railway (HSR) bridges has not been effectively evaluated to date. In this paper, an area (IAD) index group was improved. It includes the maximum IAD region length and mean length. Due lower computational efficiency HSR bridge model (IADM), study proposes use Markov Chain Monte Carlo (MCMC) method for random sampling small response sample. Aiming obtain a stable expectation. First, generate sample series varying sizes by...

10.2139/ssrn.4762029 preprint EN 2024-01-01
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