Issue 46

M.F.M. Yunoh et alii, Frattura ed Integrità Strutturale, 46 (2018) 84-93; DOI: 10.3221/IGF-ESIS.46.09 84 Developments in the fracture and fatigue assessment of materials and structures Probabilistic-based analysis for damaging features of fatigue strain loadings M. F. Mod Yunoh, S. Abdullah Centre for Automotive Research, Faculty of Eng. and Built Enviroments, Universiti Kebangsaan Malaysia faridzyunus@gmail.com, shahrum@ukm.edu.my M. H. M. Saad, Z. M. Nopiah, M. Z. Nuawi, S. S. K. Singh Dept. of Mechanical and Materials, Faculty of Eng. and Built Enviroments, Universiti Kebangsaan Malaysia hanifsaad@ukm.edu.my , zmn@ukm.edu.my , mzn@ukm.edu.my , salvinder@ukm.edu.my A BSTRACT . This paper presents the behaviour of fatigue damage extraction in fatigue strain histories of automotive components using the probabilistic approach. This is a consideration for the evaluation of fatigue damage extraction in automotive components under service loading that is vital in a reliability analysis. For the purpose of research work, two strain signals data are collected from a car coil spring during a road test. The fatigue strain signals are then extracted using the wavelet transform in order to extract the high amplitude segments that contribute to the fatigue damage. At this stage, the low amplitude segments are removed because of their minimal contribution to the fatigue damage. The fatigue damage based on all extracted segments is calculated using some significant strain-life models. Subsequently, the statistics-based Weibull distribution is applied to evaluate the fatigue damage extraction. It has been found that about 70% of the probability of failure occurs in the 1.0 x 10 -5 to 1.0 x 10 -4 damage range for both signals, while 90% of the probability of failure occurs in the 1.0 x 10 -4 to 1.0 x 10 -3 damage range. Lastly, it is suggested that the fatigue damage can be determined by the Weibull distribution analysis K EYWORDS . Fatigue damage; Features extraction; Probabilistic; Wavelet; Weibull distribution. Citation: Yunoh, M. F. M., Abdullah, S., Saad, M. H. M., Nopiah, Z. M., Nuawi, M. Z., Singh, S. S. K., Determining probabilistic-based failure of damaging features for fatigue strain loadings, Frattura ed Integrità Strutturale, 46 (2018) 84-93. Received: 18.01.2018 Accepted: 20.05.2018 Published: 01.10.2018 Copyright: © 2018 This is an open access article under the terms of the CC-BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. I NTRODUCTION atigue life prediction under service loading remains a challenging problem in real life, especially in the automotive industry. In an automotive application, service loadings such as stress on a car wheel are in variable amplitude loading, as reported in Sonsino [1]. This situation leads to a need for developing a new approach to predict the reliability of F