Open Access
ARTICLE
The Data Analyses of a Vertical Storage Tank Using Finite Element SOFT Computing
Lin Gao, Mingzhen Wang
College of Architecture Engineering, Chongqing University of Arts and Sciences, Chongqing, China
* Corresponding Author: Mingzhen Wang,
Intelligent Automation & Soft Computing 2018, 24(3), 643-651. https://doi.org/10.31209/2018.100000031
Abstract
With the rapid development of the petrochemical industry, the number of largescale oil storage tanks has increased significantly, and many storage tanks are
located in potential seismic regions. It is very necessary to analyze seismic
response of oil storage tanks since their damage in an earthquake can lead to
serious disasters and losses. In this paper, three models of vertical cylindrical oil
storage tank in different sizes, which are commonly used in practical
engineering are established. The dynamic characteristics, sloshing wave height
and hydrodynamic pressure of the oil tank considering the liquid-structure
coupling effect are analyzed by using ADINA finite element software, which are
compared with the result of the standard method. The close numerical values of
both results have verified the correctness and reliability of finite element model.
The analytic results show that liquid sloshing wave height is basically in direct
proportion to ground motion peak acceleration, the standard method of portion
sloshing wave height calculation is not conservative. The hydrodynamic
pressure generated by liquid sloshing caused by ground motion is not negligible
compared with the hydrostatic pressure. The tank radius and oil height have a
significant effect on the numerical value of hydrodynamic pressure. The ratio of
the hydrodynamic pressure and hydrostatic pressure, which is named hydraulic
pressure increase coefficients, is related to the height, which given by the GB
50341-2014 code in China have a high reliability. The seismic performances of
tank wall near the bottom needs to be enhanced and improved in the seismic
design of the oil tank.
Keywords
Cite This Article
L. Gao and M. Wang, "The data analyses of a vertical storage tank using finite element soft computing,"
Intelligent Automation & Soft Computing, vol. 24, no.3, pp. 643–651, 2018. https://doi.org/10.31209/2018.100000031