Random Seismic Response Analysis of Long-Span Cable-Stayed Bridges Under High-Intensity Earthquakes Based on the Improved Power Spectral Model
Author(s): |
Jian Liu
Lei Wang Jiayang Zhang |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 21 January 2025, n. 3, v. 15 |
Page(s): | 348 |
DOI: | 10.3390/buildings15030348 |
Abstract: |
To study the influence of random seismic responses on the structure of a large-span double-deck steel truss cable-stayed bridges under the effects of high-intensity rare earthquakes, a new power spectral model was proposed based on improvements to existing power spectra for fitting the improved power spectra of random seismic responses. The bridge finite element model established using ANSYS was employed as an engineering example for computational analysis to investigate whether the improved spectrum exhibited better adaptability and feasibility under high-intensity rare earthquake compared with other power spectra. The results indicated that the power spectral model, based on improvements to the original power spectra, had a more pronounced filtering effect on the low-frequency and high-frequency portions. Moreover, under the consistent three-dimensional excitation, the vertical displacement of the main beam was the greatest, indicating that the improved spectrum had better adaptability than other power spectra in studying the high-intensity rare earthquakes affecting bridges. It also reflected the feasibility of using the improved spectrum for studying the random responses to high-intensity rare earthquakes, providing a reference for bridge design concerning rare earthquakes in large-span bridges. |
Copyright: | © 2025 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10816139 - Published on:
03/02/2025 - Last updated on:
03/02/2025