A robust approach for the determination of Gurson model parameters

Among the most promising models introduced in recent years, with which it is possible to obtain very useful results for a better understanding of the physical phenomena involved in the macroscopic mechanism of crack propagation, the one proposed by Gurson and Tvergaard links the propagation of a cr...

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Main Authors: R. Sepe, G. Lamanna, F. Caputo
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2016-06-01
Series:Frattura ed Integrità Strutturale
Subjects:
FEM
Online Access:https://www.fracturae.com/index.php/fis/article/view/1759
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spelling doaj-aabd20637aea4570b2b7a85ff283077c2021-01-27T17:15:50ZengGruppo Italiano FratturaFrattura ed Integrità Strutturale1971-89932016-06-011037A robust approach for the determination of Gurson model parametersR. SepeG. LamannaF. Caputo Among the most promising models introduced in recent years, with which it is possible to obtain very useful results for a better understanding of the physical phenomena involved in the macroscopic mechanism of crack propagation, the one proposed by Gurson and Tvergaard links the propagation of a crack to the nucleation, growth and coalescence of micro-voids, which is likely to connect the micromechanical characteristics of the component under examination to crack initiation and propagation up to a macroscopic scale. It must be pointed out that, even if the statistical character of some of the many physical parameters involved in the said model has been put in evidence, no serious attempt has been made insofar to link the corresponding statistic to the experimental and macroscopic results, as for example crack initiation time, material toughness, residual strength of the cracked component (R-Curve), and so on. In this work, such an analysis was carried out in a twofold way: the former concerned the study of the influence exerted by each of the physical parameters on the material toughness, and the latter concerned the use of the Stochastic Design Improvement (SDI) technique to perform a “robust” numerical calibration of the model evaluating the nominal values of the physical and correction parameters, which fit a particular experimental result even in the presence of their “natural” variability https://www.fracturae.com/index.php/fis/article/view/1759Crack propagationGurson-Tvergaard modelStochastic Design ImprovementFEM
collection DOAJ
language English
format Article
sources DOAJ
author R. Sepe
G. Lamanna
F. Caputo
spellingShingle R. Sepe
G. Lamanna
F. Caputo
A robust approach for the determination of Gurson model parameters
Frattura ed Integrità Strutturale
Crack propagation
Gurson-Tvergaard model
Stochastic Design Improvement
FEM
author_facet R. Sepe
G. Lamanna
F. Caputo
author_sort R. Sepe
title A robust approach for the determination of Gurson model parameters
title_short A robust approach for the determination of Gurson model parameters
title_full A robust approach for the determination of Gurson model parameters
title_fullStr A robust approach for the determination of Gurson model parameters
title_full_unstemmed A robust approach for the determination of Gurson model parameters
title_sort robust approach for the determination of gurson model parameters
publisher Gruppo Italiano Frattura
series Frattura ed Integrità Strutturale
issn 1971-8993
publishDate 2016-06-01
description Among the most promising models introduced in recent years, with which it is possible to obtain very useful results for a better understanding of the physical phenomena involved in the macroscopic mechanism of crack propagation, the one proposed by Gurson and Tvergaard links the propagation of a crack to the nucleation, growth and coalescence of micro-voids, which is likely to connect the micromechanical characteristics of the component under examination to crack initiation and propagation up to a macroscopic scale. It must be pointed out that, even if the statistical character of some of the many physical parameters involved in the said model has been put in evidence, no serious attempt has been made insofar to link the corresponding statistic to the experimental and macroscopic results, as for example crack initiation time, material toughness, residual strength of the cracked component (R-Curve), and so on. In this work, such an analysis was carried out in a twofold way: the former concerned the study of the influence exerted by each of the physical parameters on the material toughness, and the latter concerned the use of the Stochastic Design Improvement (SDI) technique to perform a “robust” numerical calibration of the model evaluating the nominal values of the physical and correction parameters, which fit a particular experimental result even in the presence of their “natural” variability
topic Crack propagation
Gurson-Tvergaard model
Stochastic Design Improvement
FEM
url https://www.fracturae.com/index.php/fis/article/view/1759
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