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This paper is devoted to the study of the role of identification data base on the prediction of the cyclic behavior of the 304 L stainless steel on ambient temperature. The identification is done using the Chaboche constitutive model. The investigations have been performed with reference to both unixial and biaxial experimental data, strain controlled tests, ratchet tests, ratchet tests after a strain controlled strain tests. Results were reported in graphs representing the effect of the optimized parameters on the prediction of the behavior of the material. The parameters of the Chaboche model have been calculated from the curve of a unixial strain controlled test. Then they were optimized using different data base on ZéBuLoN. The simulation obtained by optimized parameters gives a good representation of stabilised loop in the way it is done with the simulated test. Ratchet was also well predicted in the case of optimization done with all tests considered in the simulation. In this paper it has been demonstrated that the optimization using different data bases have a big impact on the cyclic results and ratchet results.

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