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

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 t...

Full description

Saved in:
Bibliographic Details
Published in:Mathematical and computational applications 2021-03, Vol.26 (1), p.6
Main Authors: Bahreini Toussi, Iman, Mohammadian, Abdolmajid, Kianoush, Reza
Format: Article
Language:English
Subjects:
Artificial intelligence
base excitation
Civil engineering
computational fluid dynamics
Design
Earthquakes
Empirical analysis
Error analysis
Excitation
finite volume method
Gene expression
Genetic algorithms
Genetic engineering
Impact damage
Impact loads
liquid storage tanks
Methods
Multi-Gene Genetic Programming
Numerical models
Programming
Resonant frequencies
Shear strength
Storage tanks
Structural damage
Water tanks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 analyzed.
ISSN:2297-8747
1300-686X
2297-8747
DOI:10.3390/mca26010006