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Procedia Engineering
Article . 2011 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Engineering
Article . 2011
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Identification of GTN model parameters by application of response surface methodology

Authors: Abbasi, M.; Ketabchi, M.; Izadkhah, H.; Fatmehsaria, D.H.; Aghbash, A.N.;

Identification of GTN model parameters by application of response surface methodology

Abstract

AbstractA reliable prediction of ductile failure in metals is still a wide-open matter of research. Among different models, Gurson-Tvergaard-Needleman (GTN) has been used extensively. One major issue is the accurate identification of GTN model parameters, which it is not possible to perform experiments for their evaluation. In the present paper a novel inverse procedure aimed to estimate the material parameters of the GTN porosity-based plastic damage model by means of RSM method is represented. The results showed good agreement between experimental and predicted forming limit diagrams when determined GTN parameters were utilized. FE-simulation by means of Abaqus software used to predict FLDs. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of ICM11

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Keywords

Response surface methodology, GTN model, Forming limit diagram, Simulation, Engineering(all)

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
gold