@Article{2018.100000031,
AUTHOR = {Lin Gao, Mingzhen Wang},
TITLE = {The Data Analyses of a Vertical Storage Tank Using Finite Element SOFT  Computing},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {643--651},
URL = {http://www.techscience.com/iasc/v24n3/39789},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000031}
}