If you look around online, you can surely find a way to install Garmin MapSource without having a previous version already available on the target computer. It is worth mentioning that this application is actually an updater for the Garmin MapSource program, so you must have a previous version installed so that you can use this one effectively. Hence, the effective strain damage model is proposed for a fatigue reliability assessment under extreme conditions with higher reliability and provides fatigue life prediction when subjected to cycle sequence effects.Garmin MapSource is a handy software solution that was developed in order to help Garmin devices owners view various map documents as well as various waypoints, routes or tracks and transfer them on their Garmin devices without significant efforts. The reliability rate for the fatigue life is reported to be more than 0.59 within the hazard rate range of 9.6 × 10−8 to 1.2 × 10−7 based on the mean cycle to the failure point. The fatigue life data are modelled using extreme value distribution by considering the random strain loads as extreme data.

The fatigue life correlation shows that the Pearson correlation coefficients are greater than 0.9, which indicates the effective strain damage model is linearly correlated with the strain–life models. In addition, the strain signal is captured experimentally at 500 Hz for 100 s under operating conditions for three different road loads based on the critical location obtained from the finite element analysis. A finite element is simulated to determine the critical region in order to obtain the strain load behaviour. A FESEM-EDX analysis is conducted to characterise the failure features that occurred on the leaf spring. The established strain–life models, i.e., Morrow and Smith–Watson–Topper, considered a mean stress effect and strain amplitude nevertheless, it excluded the load sequence effect, which involves the fatigue crack closure that is subjected to overload or underload. The aim of this paper is to characterise the fatigue reliability for various random strain loads under extreme value distribution while considering the cycle sequence effect condition in fatigue life prediction.

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