Investigation On Fatigue Life Characteristic And Failure Probability Subjected To Variable Amplitude Loadings

Zakaria, Kamarul Ariffin and Abdullah, Shahrum Shah and Ali, Mohd Basri and Yusuff, Mohd Asri and Kassim, Mohd Shahir and Shaadan, Siti Norbaya (2018) Investigation On Fatigue Life Characteristic And Failure Probability Subjected To Variable Amplitude Loadings. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Traditionally,most of the fatigue life characterisation is performed using constant sinusiodal loading.However, the great majority of engineering components are subjected to variable amplitude loadings.The study on fatigue life under the variable amplitude loading is more complex due load interaction and sequence effects,and less reported.Besides,the material properties of components used in the fabrication cannot be exactly consistent due to uncertainties associated with the size effect,machining and manufacturing conditions.These uncertainties factors should be considered as random variables that results in variation of the fatigue life curves.The fatigue life probability based on variable amplitude loadings need to be developed and worthy to an accurate life prediction based on signal processing approach.Therefore,the main objective of this research is to propose a fatigue failure probability model based on strain signal characteristics.In this study,strain gauges were attached to an automobile steering knuckle connected to the data acquisition set in order to capture actual strain signals when driving onto different road profiles. The strain signals were analysed statistically to determine their behaviour and correlate with fatigue damage that evaluated using finite element commercial software.Experimental fatigue lives were performed to develop the stress life curves.A variety of fatigue strain signals that affected by different road surfaces condition is then used to predict the fatigue failures probability.The expected outcomes of the fatigue failures probability from experimental and simulation can be used to predict the actual failure of the components.

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