Composite material identification as micropolar continua via an optimization approach
A strategy based on material homogenization and heuristic optimization for the structural identification of composite materials is proposed. The objective is the identification of the constitutive properties of a micropolar continuum model employed to describe the mechanical behaviour of a composite...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-07-01
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Series: | Composites Part C: Open Access |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266668202300018X |
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author | Marco Colatosti Biagio Carboni Nicholas Fantuzzi Patrizia Trovalusci |
author_facet | Marco Colatosti Biagio Carboni Nicholas Fantuzzi Patrizia Trovalusci |
author_sort | Marco Colatosti |
collection | DOAJ |
description | A strategy based on material homogenization and heuristic optimization for the structural identification of composite materials is proposed. The objective is the identification of the constitutive properties of a micropolar continuum model employed to describe the mechanical behaviour of a composite material made of rigid blocks and thin elastic interfaces. The micropolar theory (Cosserat) has been proved to be capable of properly accounting for the particles arrangements as well as their size and orientation. The constitutive parameters of the composite materials, characterized by different textures and dimensions of the rigid blocks, are identified through a homogenization procedure. Thus, the identification is repeated exploiting the static or modal response of the composite materials and using the Differential Evolution algorithm. The benchmark structures assumed as target are represented by discrete models implemented in ABAQUS where the blocks and the elastic interfaces are modelled by rigid bodies and elastic interfaces, respectively. The obtained results show that proposed strategies provide accurate results paving the way to the experimental validation and in field applications. |
first_indexed | 2024-03-13T05:27:04Z |
format | Article |
id | doaj.art-11fe452e396d4bfdbb5270b61993df4c |
institution | Directory Open Access Journal |
issn | 2666-6820 |
language | English |
last_indexed | 2024-03-13T05:27:04Z |
publishDate | 2023-07-01 |
publisher | Elsevier |
record_format | Article |
series | Composites Part C: Open Access |
spelling | doaj.art-11fe452e396d4bfdbb5270b61993df4c2023-06-15T04:57:17ZengElsevierComposites Part C: Open Access2666-68202023-07-0111100362Composite material identification as micropolar continua via an optimization approachMarco Colatosti0Biagio Carboni1Nicholas Fantuzzi2Patrizia Trovalusci3DISG Department, Sapienza University of Rome, Via A. Gramsci 53, 00197, Rome, ItalyDISG Department, Sapienza University of Rome, Via A. Gramsci 53, 00197, Rome, ItalyDICAM Department, University of Bologna, Viale del Risorgimento 2, 40136, Bologna, Italy; Corresponding author.DISG Department, Sapienza University of Rome, Via A. Gramsci 53, 00197, Rome, ItalyA strategy based on material homogenization and heuristic optimization for the structural identification of composite materials is proposed. The objective is the identification of the constitutive properties of a micropolar continuum model employed to describe the mechanical behaviour of a composite material made of rigid blocks and thin elastic interfaces. The micropolar theory (Cosserat) has been proved to be capable of properly accounting for the particles arrangements as well as their size and orientation. The constitutive parameters of the composite materials, characterized by different textures and dimensions of the rigid blocks, are identified through a homogenization procedure. Thus, the identification is repeated exploiting the static or modal response of the composite materials and using the Differential Evolution algorithm. The benchmark structures assumed as target are represented by discrete models implemented in ABAQUS where the blocks and the elastic interfaces are modelled by rigid bodies and elastic interfaces, respectively. The obtained results show that proposed strategies provide accurate results paving the way to the experimental validation and in field applications.http://www.sciencedirect.com/science/article/pii/S266668202300018XComposite materialsMultiscale proceduresMicropolar continuaDynamicsMaterial identification |
spellingShingle | Marco Colatosti Biagio Carboni Nicholas Fantuzzi Patrizia Trovalusci Composite material identification as micropolar continua via an optimization approach Composites Part C: Open Access Composite materials Multiscale procedures Micropolar continua Dynamics Material identification |
title | Composite material identification as micropolar continua via an optimization approach |
title_full | Composite material identification as micropolar continua via an optimization approach |
title_fullStr | Composite material identification as micropolar continua via an optimization approach |
title_full_unstemmed | Composite material identification as micropolar continua via an optimization approach |
title_short | Composite material identification as micropolar continua via an optimization approach |
title_sort | composite material identification as micropolar continua via an optimization approach |
topic | Composite materials Multiscale procedures Micropolar continua Dynamics Material identification |
url | http://www.sciencedirect.com/science/article/pii/S266668202300018X |
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