Generating strain signals under consideration of road surface profiles

Evaluation of Reliability-based Fatigue Strain Data Analysis for an Automobile Suspension Under Various Road Condition

“…The highest stress area of coil spring for suspension system was in the red circle shown in Fig. 1(a) [18]. In previous studies, Putra et al were obtained the stress concentration experienced through the FEA (Finite Element Analysis).…”

“…The statistical parameters are approximately similar to those in the original signal and the retention for kurtosis. The other parameters, namely, mean, standard deviation and variance, differed by up to 10% from the original signal [21].…”

“…In previous studies, Putra et al were obtained the stress concentration experienced through the FEA (Finite Element Analysis). He finds that the highest stress area on coil spring was provided with colour contour which the area occurs with 1.4 kPa of maximum pressure [18]. A 2 mm strain gauge was placed on the most critical part which has the highest stress location on the suspension coil spring shows in Fig.…”

“…The signals were 120 s in length, comprised 60,000 data points. From data acquisition system the sampling rate can adjust with some sample rate values, 500 or 1000 Hz and the sampling rate was selected 500 Hz because it more appropriate for the on-site of data collection [18].…”

“…The strain life approach is sufficiently accurate for fatigue life assessment because it considers plastic forming events existing in local areas to determine the strength of components. The strain life approach is usually applied to ductile materials because the low fatigue cycles of small components, which are within only 10 3 cycles, do not require high operating costs and do need extensive crack observation where the failure occurs [18].…”