Assessment of the Poisson Ratio Effect on Low Cycle Fatigue (LCF) Behavior of Shear-Cracking Mode Materials
Autor: | John Patrick Quigley, Ghassan Abed, Wensheng Zhang, Yung-Li Lee |
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Rok vydání: | 2015 |
Předmět: |
Materials science
business.industry Mechanical Engineering 02 engineering and technology Structural engineering 021001 nanoscience & nanotechnology Poisson distribution Poisson's ratio symbols.namesake Cracking 020303 mechanical engineering & transports 0203 mechanical engineering Shear (geology) Mechanics of Materials Crack initiation Axial strain symbols General Materials Science Low-cycle fatigue Composite material 0210 nano-technology Inconel business |
Zdroj: | Journal of Testing and Evaluation. 44:20140193 |
ISSN: | 0090-3973 |
Popis: | This paper evaluates the effect of different Poisson's ratios and an equivalent Poisson's ratio formula on the crack initiation angle and life estimation by using the three shear-strain based fatigue damage models (Brown–Miller, Fatemi–Socie, and Liu's Virtual Energy) on strain-controlled biaxial cyclic loading tests of specific tubular material specimens. The four shear failure mode materials studied were Inconel 718, 304L stainless steel, normalized 1050, and quenched/tempered 1050 steels. This study was motivated by the fact that for all the strain-controlled fatigue testing, the induced transverse strain was not measured, but assumed to be a negative product of the axial strain and the Poisson ratio, where the axial strain was known and given, and the Poisson ratio was either assumed to be a constant or a variable represented by a function of elastic and plastic equivalent strains. Therefore, the assumption of a Poisson's ratio in the transverse strain calculation was assessed in this study. It is concluded that the use of different Poisson's ratios in the three fatigue damage models would have some effects on the crack angle prediction, depending on the material type, and little effect on the fatigue life estimation for all materials investigated in this study. |
Databáze: | OpenAIRE |
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