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HAL Arts et Métiers
Conference object . 2012
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https://doi.org/10.1115/esda20...
Article . 2012 . Peer-reviewed
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https://dx.doi.org/10.1115/esd...
Other literature type
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Application of an Advanced GTN Model

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Conference object 02 Jul 2012 France Publisher:American Society of Mechanical EngineersJournal:Volume 1: Advanced Computational Mechanics; Advanced Simulation-Based Engineering Sciences; Virtual and Augmented Reality; Applied Solid Mechanics and Material Processing; Dynamical Systems and Control
Authors: Fansi, Joseph; Habraken, Anne-Marie; Balan, Tudor; Lemoine, Xavier; Landron, Caroline; Maire, Eric; Bouaziz, Olivier; +1 Authors

doi: 10.1115/esda2012-82995

Application of an Advanced GTN Model

Abstract

The present contribution consists of implementing an advanced GTN damage model as a “User Material subroutine” in the Abaqus FE code. This damage model is based on specific nucleation and growth laws. This model is applied to the prediction of the damage evolution and the stress state in notched specimens made of dual phase steel. By comparing numerical predictions with experimental results based on high-resolution X-ray absorption tomography, the numerical approach was improved and validated.

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France
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Keywords

[SPI.MAT] Engineering Sciences [physics]/Materials

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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!
0
Average
Average
Average