The analysis of stresses and displacements in the aluminium structure with replaceable elements

The paper concerns the non-linear analysis of stresses and displacements in an aluminium truss tower. The Ramberg – Osgood material model was assumed. This model introduced power type relation between stresses and strains. In order to identify the inverse relation, a neural network was used. Becaus...

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Main Authors: Beata Potrzeszcz-Sut, Ewa Pabisek
Format: Article
Language:English
Published: Lublin University of Technology 2013-03-01
Series:Budownictwo i Architektura
Subjects:
Online Access:https://ph.pollub.pl/index.php/bia/article/view/2210
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spelling doaj-b26cd9df46b54061b74eae4e4ec72e422020-11-25T03:33:17ZengLublin University of TechnologyBudownictwo i Architektura1899-06652544-32752013-03-0112110.35784/bud-arch.2210The analysis of stresses and displacements in the aluminium structure with replaceable elementsBeata Potrzeszcz-Sut0Ewa Pabisek1Department of Mechanics, Metal Structures and Computer Methods, Faculty of Civil Engineering and Architecture, Kielce University of Technology Instytut Technologii Informatycznych, Wydział Inżynierii Lądowej, Politechnika Krakowska The paper concerns the non-linear analysis of stresses and displacements in an aluminium truss tower. The Ramberg – Osgood material model was assumed. This model introduced power type relation between stresses and strains. In order to identify the inverse relation, a neural network was used. Because of the need to strengthen the tower, a number of aluminium bars was replaced by steel bars. The perfect elastic material model was assumed for the steel bars. The analysis of stresses and extreme displacements was performed during the cyclic loading and unloading of the system. Two global unloading processes were considered: elastic and elastic-plastic processes. The relationship between the load factor and deflection of the top of the tower is shown. Analysis was performed using a hybrid FEM/ANN program. https://ph.pollub.pl/index.php/bia/article/view/2210numerical analysisRamberg – Osgood material modelartificial neural networkneural material model
collection DOAJ
language English
format Article
sources DOAJ
author Beata Potrzeszcz-Sut
Ewa Pabisek
spellingShingle Beata Potrzeszcz-Sut
Ewa Pabisek
The analysis of stresses and displacements in the aluminium structure with replaceable elements
Budownictwo i Architektura
numerical analysis
Ramberg – Osgood material model
artificial neural network
neural material model
author_facet Beata Potrzeszcz-Sut
Ewa Pabisek
author_sort Beata Potrzeszcz-Sut
title The analysis of stresses and displacements in the aluminium structure with replaceable elements
title_short The analysis of stresses and displacements in the aluminium structure with replaceable elements
title_full The analysis of stresses and displacements in the aluminium structure with replaceable elements
title_fullStr The analysis of stresses and displacements in the aluminium structure with replaceable elements
title_full_unstemmed The analysis of stresses and displacements in the aluminium structure with replaceable elements
title_sort analysis of stresses and displacements in the aluminium structure with replaceable elements
publisher Lublin University of Technology
series Budownictwo i Architektura
issn 1899-0665
2544-3275
publishDate 2013-03-01
description The paper concerns the non-linear analysis of stresses and displacements in an aluminium truss tower. The Ramberg – Osgood material model was assumed. This model introduced power type relation between stresses and strains. In order to identify the inverse relation, a neural network was used. Because of the need to strengthen the tower, a number of aluminium bars was replaced by steel bars. The perfect elastic material model was assumed for the steel bars. The analysis of stresses and extreme displacements was performed during the cyclic loading and unloading of the system. Two global unloading processes were considered: elastic and elastic-plastic processes. The relationship between the load factor and deflection of the top of the tower is shown. Analysis was performed using a hybrid FEM/ANN program.
topic numerical analysis
Ramberg – Osgood material model
artificial neural network
neural material model
url https://ph.pollub.pl/index.php/bia/article/view/2210
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