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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.02 vteřin. 
Numerical calibration of material parameters of selected directional distortional hardening models with combined approach using both distorted yield surfaces and stress-strain curves
 Hrubý, Zbyněk ; Plešek, Jiří ; Parma, Slavomír ; Marek, René ; Feigenbaum, H. P. ; Dafalias, Y.F.
The plastic strain induced anisotropy is a well-known phenomenon in manufacturing and directional distortional hardening represents a very promising way to capture real plastic behavior of metals. Many papers were published in the past typically extending the von Mises yield criterion with directionally dependent internal variable and defining yield point at the basis of plastic strain offset. Material parameters of these models were typically calibrated at the basis of deformed yield surfaces only, which – as revealed – could lead to certain discrepancies in simple stress-strain response. Presented paper introduces a numerical calibration approach taking both distorted yield surfaces and stress-strain curves information into account. Besides the calibration procedures, innovative applications of experimental techniques such as the acoustic emission for an acquisition of yield inception and plastic straining, convexity of the models, or numerical implementation of these models are discussed.
Úplný záznam
Identification of Parameters of the Feigenbaum-Dafalias Directional Distortional Hardening Model
 Parma, Slavomír ; Plešek, Jiří ; Hrubý, Zbyněk ; Marek, René ; Feigenbaum, H. P. ; Dafalias, Y.F.
Distortion of yield surface was observed in numerous experiments with various types of metals. The distorted surface shows high curvature in the direction of load and flattening in the opposite direction. Feigenbaum and Dafalias (2008) proposed a new phenomenological model to capture this phenomenon. In sum, Feigenbaum-Dafalias directional distortional model includes six independent material parameters to be identified. The present paper describes an identification algorithm for parameters of the model.
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