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Small punch test for determining a flow stress by using a hybrid inverse procedure

Author
CHEON, Jin-Sik1 ; JOO, Cheol-Hong2
[1] Korea Atomic Energy Research Institute, P.O. BOX 105, Yuseong, Daejeon 305-600, Korea, Republic of
[2] Doosan Heavy Industries and Construction Co., Ltd, Changwon 641-792, Korea, Republic of
Source

Computational materials science. 2008, Vol 43, Num 4, pp 744-751, 8 p ; ref : 19 ref

ISSN
0927-0256
Scientific domain
Condensed state physics
Publisher
Elsevier Science, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
02.30.Zz 02.70.Dh 62.20.Fe 81.70.Bt Experimental validation Finite element method Flow stress Inverse problem Numerical optimization Small punch test
Keyword (fr)
Contrainte écoulement Déplacement déformation Ecoulement plastique Essai poinçonnage Modèle hybride Méthode élément fini Problème inverse Recuit simulé Réseau neuronal
Keyword (en)
Flow stress Displacement(deformation) Plastic flow Punching test Hybrid model Finite element method Inverse problems Simulated annealing Neural networks
Keyword (es)
Desplazamiento deformación Prueba punzonado Modelo híbrido
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B60 Condensed matter: structure, mechanical and thermal properties / 001B60B Mechanical and acoustical properties of condensed matter / 001B60B20 Mechanical properties of solids / 001B60B20F Deformation and plasticity (including yield, ductility, and superplasticity)

Discipline
Physics of condensed state : structure, mechanical and thermal properties
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20796534

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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