Parameter identification of an elasto-plastic behaviour using artificial neural networks-genetic algorithm method

Materials and Design

Volumn 32, Issue 1, 2011, Pages 48-53

  Aguir, Hamdi ^a   BelHadjSalah, Hédi ^a   Hambli, Ridha ^b  

^a UNIVERSITY OF MONASTIR   (Tunisia)

^b CNRS   (France)

Author keywords

Artificial neural networks; Genetic algorithm; Inverse identification

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BULGE TESTS; CIRCULAR DIE; COMPUTING TIME; ELASTO-PLASTIC; EXPERIMENTAL TEST; FINITE ELEMENT; FINITE ELEMENT COMPUTATIONS; FINITE STRAIN; HYBRID IDENTIFICATION; INVERSE ANALYSIS; INVERSE IDENTIFICATION; MATERIAL BEHAVIOUR; MATERIAL PARAMETER; METAL-FORMING PROCESS; OPERATING CONDITION; OPTIMIZATION PROCEDURES; PARAMETER IDENTIFICATION; RHEOLOGICAL BEHAVIOUR; RHEOLOGICAL MODELS; STAINLESS STEEL AISI 304; TENSILE TESTS;

COMPUTER SIMULATION; COUPLED CIRCUITS; ELASTOPLASTICITY; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); METAL FORMING; RHEOLOGY; STAINLESS STEEL; TENSILE TESTING; TESTING;

NEURAL NETWORKS;

EID: 77956174466     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2010.06.039     Document Type: Article

References (17)

1. Cooreman S., Lecompte D., Sol H., Vantomme J., Debruyne D. Elasto-plastic material parameter identification by inverse methods: calculation of the sensitivity matrix. Int J Solids Struct 2007, 44:4329-4341.
2. Kucharski S., Mróz Z. Identification of yield stress and plastic hardening parameters from a spherical indentation test. Int J Mech Sci 2007, 49:1238-1250.
3. Cooreman S., Lecompte D., Sol H., Vantomme J., Debruyne D. Identification of mechanical material behavior through inverse modeling and DIC. Exp Mech 2008, 48:421-433.
4. Gahbiche A. Experimental characterization of stamping sheets: application to the identification of the behaviour laws. PhD thesis, ENIM, Tunisia; 2005.
5. Khalfallah A., BelHadjSalah H., Dogui A. Anisotropic parameter identification using inhomogeneous tensile test. Eur J Mech A/Solids 2002, 21:927-942.
6. Khalfallah A. Identification of the elastoplastic laws of behaviour by inhomogeneous tests and numerical simulations. PhD thesis, Faculty of Science of Tunis, Tunisia; 2004.
7. Huang G.-Q., Huang H.-X. Optimizing parison thickness for extrusion blow molding by hybrid method. J Mater Process Technol 2007, 182:512-518.
8. Tomonari F., Chen Jian K.L., John G.M. Regularization for parameter identification using multi-objective optimization. Studies Comput Intell 2006, 16:125-149.
9. Hambli R., Chamekh A., BelHadjSalah H. Real-time deformation of structure using finite element and neural networks in virtual reality application. Finite Elem Anal Des 2006, 42:985-991.
10. Chamekh A., BelHadjSalah H., Hambli R., Gahbiche A. Inverse identification using the bulge test and artificial neural networks. J Mater Process Technol 2006, 177:307-310.
11. Aguir H, Chamekh A, BelHadjSalah H, Hambli R. Identification of constitutive parameters using inverse strategy coupled to ANN Model. In: César de Sà JMA, Santos AD, editors. Proc NUMIFORM'07, Porto; 2007. p. 1567-72.
12. Larsson R. Constitutive modelling of high strength steel. Master Thesis carried out at solid mechanics, Linköping University, Sweden; 2007.
13. Chaparro B.M., Thulillier S., Menezes L.F., Manach P.Y., Fernandes J.V. Material parameters identification: gradient-based, genetic and hybrid optimization algorithms. Comput Mater Sci 2008, 44:339-346.
14. Abouhamze M., Shakeri M. Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks. Compos Struct 2007, 81:253-263.
15. Bassir D., Zapico J., González M. Identification of spatial linear model based on earthquake-induced data and genetic algorithm with parallel selection. Int J Simulat Multidiscipl Des Optimization 2007, 1:39-48.
16. Aguir H., Chamekh A., BelHadjSalah H., Dogui A., Hambli R. Parameter identification of a non associative elasto-plastic constitutive model using ANN and multi-objective optimization. Int J Mater Form 2009, 2:75-82.
17. Aguir H., Chamekh A., BelHadjSalah H., Dogui A., Hambli R. Identification of constitutive parameters using hybrid ANN multi-objective optimization procedure. Int J Mater Form 2008, 1(Suppl 1):1-4.