JOURNAL ARTICLE
Sloshing response in rectangular water tanks under seismic actions considering resonant effects.
Published In: Physics of Fluids, 2024, v. 36, n. 12. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Cong; Chen, Yadong; Wan, Hongmei; Jin, Xin; Wang, Baoliang; Li, Baoliang; Wang, Yue 3 of 3
Abstract
This article investigates the sloshing behavior of rectangular liquid tanks under seismic excitations through large-scale shaking table experiments and OpenFOAM-based numerical simulations, focusing on both resonant and non-resonant conditions. It finds that vertical seismic waves have a minor effect on sloshing height and hydrodynamic pressure, especially under resonant conditions where horizontal seismic components dominate. The study reveals that resonant sloshing is characterized by low-order odd sloshing modes and nonlinear behavior, while non-resonant sloshing involves higher-frequency seismic components and natural modes with stronger correlation to seismic input. Existing formulas by Westergaard and Housner accurately predict peak hydrodynamic pressure near the tank bottom under non-resonant conditions but significantly underestimate it during resonance; therefore, a new formula for peak hydrodynamic pressure under resonant seismic excitation is proposed and validated with experimental and real-case data. The research contributes valuable experimental data and insights for improving the design and safety assessment of liquid-storage structures subjected to earthquakes.
Additional Information
- Source:Physics of Fluids. 2024/12, Vol. 36, Issue 12, p1
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2024
- ISSN:1070-6631
- DOI:10.1063/5.0246400
- Accession Number:181974047
- Copyright Statement:Copyright of Physics of Fluids is the property of American Institute of Physics 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.