W.H. Chen
Sun Yat-sen University
8 Papers
12 Citations
W.H. Chen is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Finite element method & Structural health monitoring. The author has an hindex of 6, co-authored 8 publications.
Chat about Author
Papers
Theoretical and experimental modal analysis of the Guangzhou New TV Tower
TL;DR: In this paper, a structural health monitoring (SHM) system consisting of over 800 sensors has been implemented to the Guangzhou New TV Tower (GNTVT) for both in-construction and in-service real-time monitoring.
137
SHM benchmark for high-rise structures: a reduced-order finite element model and field measurement data
TL;DR: In this article, a 3D full-scale finite element model (FEM) and a reduced-order FEM have been developed specifically for the benchmark study, which includes 37 beam elements and a total of 185 degrees-of-freedom (DOF).
Structural damage identification based on power spectral density sensitivity analysis of dynamic responses
TL;DR: In this article, a new method was proposed to identify locations and severities of structural damages based on the power spectral density sensitivity analysis, where the structural responses and power spectral densities under stationary and random excitations were calculated using pseudo excitation method.
63
Vibration analysis of multiple-stepped beams with the composite element model
TL;DR: In this paper, a new approach to analyze the free and forced vibrations of beams with multiple cross-section steps is proposed using a composite element method in which the results are compared to receptance function method and classical Rayleigh-Ritz method and finite element results.
58
A vision-based system for long-distance remote monitoring of dynamic displacement: experimental verification on a supertall structure
TL;DR: The results indicate that the displacement response time histories monitored by the vision-based system not only match well with those acquired by the GPS receiver, but also have higher fidelity and are less noise-corrupted.
28