Prediction of Maximum Pressure at the Roofs of Rectangular Water Tanks Subjected to Harmonic Base Excitation Using the Multi-Gene Genetic Programming Method

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Bahreini-Toussi:2021:MCA,

• author = "Iman {Bahreini Toussi} and Abdolmajid Mohammadian and Reza Kianoush",
• title = "Prediction of Maximum Pressure at the Roofs of Rectangular Water Tanks Subjected to Harmonic Base Excitation Using the {Multi-Gene} Genetic Programming Method",
• journal = "Mathematical and Computational Applications",
• year = "2021",
• volume = "26",
• number = "1",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "2297-8747",
• URL = "https://www.mdpi.com/2297-8747/26/1/6",
• DOI = "doi:10.3390/mca26010006",
• abstract = "Liquid storage tanks subjected to base excitation can cause large impact forces on the tank roof, which can lead to structural damage as well as economic and environmental losses. The use of artificial intelligence in solving engineering problems is becoming popular in various research fields, and the Genetic Programming (GP) method is receiving more attention in recent years as a regression tool and also as an approach for finding empirical expressions between the data. In this study, an OpenFOAM numerical model that was validated by the authors in a previous study is used to simulate various tank sizes with different liquid heights. The tanks are excited in three different orientations with harmonic sinusoidal loadings. The excitation frequencies are chosen as equal to the tanks natural frequencies so that they would be subject to a resonance condition. The maximum pressure in each case is recorded and made dimensionless; then, using Multi-Gene Genetic Programming (MGGP) methods, a relationship between the dimensionless maximum pressure and dimensionless liquid height is acquired. Finally, some error measurements are calculated, and the sensitivity and uncertainty of the proposed equation are analysed.",
• notes = "also known as \cite{mca26010006}",

}

Genetic Programming entries for Iman Bahreini Toussi Abdolmajid Mohammadian Reza Kianoush

Citations