Estimation of fatigue lifetime for selected metallic materials under multiaxial variable amplitude loading

Abstract

ABSTRACT. This paper initially investigates the accuracy of two methods, i.e., the Maximum Variance Method (MVM) and the Maximum Damage Method (MDM), in predicting the orientation of the crack initiation plane in three different metallic materials subjected to multiaxial variable amplitude loading. According to the validation exercise being performed, the use of both the MVM and the MDM resulted in a satisfactory level of accuracy for selected three metals. Subsequently, three procedures to estimate the fatigue lifetime of metals undergoing multiaxial variable amplitude loading were assessed quantitatively. Procedure A was based on the MDM applied along with Fatemi-Socie's (FS) criterion, Bannantine-Socie's (BS) cycle counting method and Miner's linear rule. Procedure B was based on the MVM, FS criterion, BS cycle counting method and Miner's linear rule. Procedure C involved the MVM, the Modified Manson Coffin Curve Method (MMCCM), the classical rainflow cycle counting method and Miner's linear rule. The results show that the usage of these three design procedures resulted in satisfactory predictions for the materials being considered, with estimates falling within an error band of three.

A review of multiaxial fatigue criteria for random variable amplitude loads

“…Although the present review article focuses on multiaxial stress‐based criteria, it is worth recalling the modified Manson–Coffin curve method proposed by the authors of Refs , which is a strain‐based multiaxial low‐cycle fatigue criterion related to the critical plane approach. In particular, the critical plane orientation is determined by following the same strategy adopted for the above MWCM, but reformulated in terms of the resolved shear strain γ MV , and the direction MV together with the normal to the critical plane are employed to calculate γ MV .…”

“…The main literature body devoted to variable amplitude and random multiaxial fatigue can be classified on the basis of the research groups. Among others, we can recall the group at Opole University (Poland) of Macha; Benasciutti–Tovo's (University of Ferrara and University of Udine, Italy); Pitoiset–Preumont's (Active Structure Laboratory, Brussels, Belgium); Socie–Fatemi's (University of Illinois and University of Toledo, USA); Cianetti's (University of Perugia, Italy); Brown's (University of Sheffield, UK); Sonsino's (LBF, Darmstadt, Germany); Meggiolaro's (Pontifical Catholic University of Rio de Janeiro, Brasil); Susmel's (University of Sheffield, UK); and the group of the present authors (University of Parma, Italy) …”