Metal failure effects predicted accurately with a unified and explicit criterion
A new criterion for predicting metal failure effects under cyclic loading conditions is derived from an innovative elastoplasticity model established most recently. As compared with usual approaches, novel results with this new criterion are presented in four respects: (i) both low and high cycle fa...
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Veröffentlicht in: | Zeitschrift für angewandte Mathematik und Mechanik 2021-11, Vol.101 (11), p.n/a |
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Sprache: | eng |
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Zusammenfassung: | A new criterion for predicting metal failure effects under cyclic loading conditions is derived from an innovative elastoplasticity model established most recently. As compared with usual approaches, novel results with this new criterion are presented in four respects: (i) both low and high cycle fatigue effects can be simultaneously simulated in a unified and direct manner; (ii) cumbersome trial‐and‐error procedures in identifying numerous unknown parameters can be bypassed; (iii) time‐consuming numerical procedures are not involved in treating responses in cyclic loading processes; and, for the first time, (iv) data sets for fatigue failure can be simultaneously matched for various cases of the cyclic stress ratio. Numerical examples show that model predictions are in accurate agreement with test data.
A new criterion for predicting metal failure effects under cyclic loading conditions is derived from an innovative elastoplasticity model established most recently. As compared with usual approaches, novel results with this new criterion are presented in four respects: (i) both low and high cycle fatigue effects can be simultaneously simulated in a unified and direct manner; (ii) cumbersome trial‐and‐error procedures in identifying numerous unknown parameters can be bypassed; (iii) time‐consuming numerical procedures are not involved in treating responses in cyclic loading processes; and, for the first time, (iv) data sets for fatigue failure can be simultaneously matched for various cases of the cyclic stress ratio. Numerical examples show that model predictions are in accurate agreement with test data. |
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ISSN: | 0044-2267 1521-4001 |
DOI: | 10.1002/zamm.202100140 |