JOURNAL ARTICLE
Spatiotemporal Frequency Variation in Plate-Type Bridges Under Moving Vehicles: Theoretical Study.
Published In: International Journal of Structural Stability & Dynamics, 2026, v. 26, n. 8. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yang, Y. B.; Huang, J. X.; Wang, Z. L.; He, Y.; Li, C. H. 3 of 3
Abstract
This paper uncovers the frequency variation in plate-type bridges under moving vehicles, highlighting the transverse characteristics stemming from the bridge's spatial configuration. First, the mode shapes are determined for plates with two opposite sides simply supported and the other two free (S-F-S-F bridge) by Levy's method. Then, analytical solutions are derived for the frequencies of the vehicle-plate system subjected to a moving vehicle. Through numerical analysis, it is demonstrated that the frequencies of the vehicle-plate system exhibit spatiotemporal variations, contingent upon both the transverse spatial path and longitudinal time-varying distance of the plate traveled by the vehicle. The "edging effect" was identified wherein maximum frequency variation will occur when the vehicle traverses along one side edge of the plate. Moreover, the transverse variation ratio of the plate-type bridge frequency increases with the decrease in the bridge's span/width ratio. These findings underscore the significance of the bridge's transverse characteristics when using the moving vehicle to measure the frequencies of plate-type bridges, particularly for short-span bridges. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Structural Stability & Dynamics. 2026/04, Vol. 26, Issue 8, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2026
- ISSN:0219-4554
- DOI:10.1142/S021945542671001X
- Accession Number:192085623
- Copyright Statement:Copyright of International Journal of Structural Stability & Dynamics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.