The phenomenological approach to fatigue crack propagation through Paris-like models does not allow consideration of the influence of all the variables. The load ratio R (load minimum/load maximum) is one of the commonly considered parameters and, although many attempts have been made with the aim to identify the different mechanisms that depend on R (e.g. crack closure effects), this parameter is still used as an additional input in many applications. In this work the influence of R on the fatigue crack propagation resistance in a PM duplex stainless steel was investigated and an artificial neural network based model was optimised as a new simulation tool. © 2004 Elsevier Ltd. All rights reserved.
Analysis of stress ratio effects on fatigue propagation in a sintered duplex steel by experimentation and artificial neural network approaches / F., Iacoviello; Iacoviello, Daniela; Cavallini, Mauro. - In: INTERNATIONAL JOURNAL OF FATIGUE. - ISSN 0142-1123. - STAMPA. - 26:8(2004), pp. 819-828. [10.1016/j.ijfatigue.2004.01.004]
Analysis of stress ratio effects on fatigue propagation in a sintered duplex steel by experimentation and artificial neural network approaches
IACOVIELLO, Daniela;CAVALLINI, Mauro
2004
Abstract
The phenomenological approach to fatigue crack propagation through Paris-like models does not allow consideration of the influence of all the variables. The load ratio R (load minimum/load maximum) is one of the commonly considered parameters and, although many attempts have been made with the aim to identify the different mechanisms that depend on R (e.g. crack closure effects), this parameter is still used as an additional input in many applications. In this work the influence of R on the fatigue crack propagation resistance in a PM duplex stainless steel was investigated and an artificial neural network based model was optimised as a new simulation tool. © 2004 Elsevier Ltd. All rights reserved.File | Dimensione | Formato | |
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