JOURNAL ARTICLE
Dynamic Response of Infinite Beam Resting on a Fractional Pasternak Viscoelastic Foundation Subjected to Moving Load.
Published In: International Journal of Structural Stability & Dynamics, 2024, v. 24, n. 13. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ye, Ti-Lei; Yan, Ke-Zhen 3 of 3
Abstract
In this paper, the dynamic response of an infinite Euler beam that was mounted on a fractional-order Pasternak viscoelastic foundation subjected to a moving point load was investigated. An analytical solution to the problem was derived using Fourier and Laplace transforms. Numerical results obtained by numerical Laplace inversion were analyzed to explore the impact of various parameters on the system's response. The findings indicated that increasing system damping led to a decrease in maximum deflection and a more visible deformation hysteresis with an increase in fractional derivative orders. Additionally, all parameters of the foundation and shear layer were observed to have a significant effect on the deflection. The study confirmed that the fractional-order model predicted damping and dynamic deflection more accurately than the conventional integer-order foundation model. The research contributed to the understanding of the behavior of Euler beams mounted on viscoelastic foundations and provided valuable insights into the design of such systems. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Structural Stability & Dynamics. 2024/07, Vol. 24, Issue 13, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0219-4554
- DOI:10.1142/S0219455424501451
- Accession Number:178334248
- 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.)
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