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...

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Main Authors: Marco Colatosti, Biagio Carboni, Nicholas Fantuzzi, Patrizia Trovalusci
Format: Article
Language:English
Published: Elsevier 2023-07-01
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.
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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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