Pantographic structures have been proposed as a group of metamaterials that show high toughness in extension. Modeling such structures is technically possible through microscopic first-order continuum theories by using a suitably small length-scale, although the computational cost would be high. The aim of this research is to estimate the constitutive parameters of a planar pantographic structure by means of an optimization process. A previously-proposed macroscopic second-gradient model which is characterized by deformation energy is used for modeling the mechanical behavior of the structure. The macroscopic model will be developed based on the results of the numerical simulations of a microscopic model. In this problem, an evolutionary multi-objective optimization algorithm is utilized which minimizes the squared error of the outputs.

Determining the constitutive parameters of a macroscale second-gradient model for planar pantographic structures by using optimization algorithms / Shekarchizadeh, Navid; Abedi, Masoud. - (2019), pp. 31-34. ((Intervento presentato al convegno 8th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry tenutosi a Kassel; Germany.

Determining the constitutive parameters of a macroscale second-gradient model for planar pantographic structures by using optimization algorithms

Navid Shekarchizadeh
;
2019

Abstract

Pantographic structures have been proposed as a group of metamaterials that show high toughness in extension. Modeling such structures is technically possible through microscopic first-order continuum theories by using a suitably small length-scale, although the computational cost would be high. The aim of this research is to estimate the constitutive parameters of a planar pantographic structure by means of an optimization process. A previously-proposed macroscopic second-gradient model which is characterized by deformation energy is used for modeling the mechanical behavior of the structure. The macroscopic model will be developed based on the results of the numerical simulations of a microscopic model. In this problem, an evolutionary multi-objective optimization algorithm is utilized which minimizes the squared error of the outputs.
8th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry
second-gradient model; pantographic structures; optimization algorithms
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Determining the constitutive parameters of a macroscale second-gradient model for planar pantographic structures by using optimization algorithms / Shekarchizadeh, Navid; Abedi, Masoud. - (2019), pp. 31-34. ((Intervento presentato al convegno 8th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry tenutosi a Kassel; Germany.
File allegati a questo prodotto
File Dimensione Formato  
Shekarchizadeh_Determining_2019.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.89 MB
Formato Adobe PDF
1.89 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1341542
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact