Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks

Hossein Goudarzvand Chegini,Gholamreza Zarepour,Hongqing Song

doi:10.1155/2021/3537542

Hossein Goudarzvand Chegini, Gholamreza Zarepour + Show 1 more

Open Access

https://doi.org/10.1155/2021/3537542

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Journal: Geofluids	Publication Date: Sep 9, 2021
Citations: 2	License type: CC BY 4.0

Affiliation: University of Guilan

Abstract

In this research, neural network models were used to predict the action of sloshing phenomena in a tank containing fluid under harmonic excitation. A new methodology is proposed in this analysis to test and simulate fluid sloshing behavior in the tank. The sloshing behavior was first modeled using the smooth particle hydrodynamics (SPH) method. The backpropagation of the error algorithm was then used to apply the two multilayer feed-forward neural networks and the recurrent neural network. The findings of the SPH process are employed in the training and testing of neural networks. Input neural network data include the tank position, velocity, and acceleration, neural output data, and fluid sloshing curve wave position. The findings of the neural networks were correlated with the experimental evidence provided in the literature. The findings revealed that neural networks can be used to predict fluid sloshing.

Highlights

Fluid sloshing has a wide variety of uses in the fields of engineering, for example, the construction of fuel tanks for automobiles, containers to carry liquid on roads, ships, and space vessels
The results obtained from the smooth particle hydrodynamics (SPH) method are based on particle modeling, so a large amount of fluid information is generated for modeling, and to use it, a large part of it must be filtered
A programming code has been written in MATLAB software that extracts useful information from the simulation data of SPH method and transmits it for use in a neural network

Summary

Introduction

Fluid sloshing has a wide variety of uses in the fields of engineering, for example, the construction of fuel tanks for automobiles, containers to carry liquid on roads, ships, and space vessels. Sloshing is the movement of liquid inside a partly filled container as a result of external excitations. The resonant state in sloshing will create high structural loads on the tank frame since the frequency of tank motion is similar to the normal frequency of the fluid within it. This resonance effect may be linked to complex movements of the filled liquid, which could couple with structure motions, posing a threat to the tank structure and its stability [5,6,7]

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