Effective Solutions to Decreasing Load Conflicts Using 4DOF Road Test Simulators

Wu, Vince; Andrews, G. T.; Vermeulen, Chad; Wong, Dan; Peticca, Gerry; Nhan, Brian

doi:10.4271/2007-01-1350

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…In addition, the application of closed-loop servohydraulic testing systems and the road simulation technique has enabled the reproduction of test track responses such as displacement, acceleration, and strain in the laboratory [3][4][5][6]. Simulated laboratory durability testing, test track durability testing, and proving-ground durability testing can be performed simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Accelerated durability assessment of motorcycle components in real-time simulation testing

Lin

Hwang

Chang

2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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The rapid development of the vehicle industry has made reducing product development time a major concern. This study seeks to identify a suitable accelerated approach to durability analysis for motorcycle components. This investigation involves field data acquisition, laboratory road load simulation, accelerated durability testing, and fatigue life prediction. Two methods, 'strain range editing technique' and 'racetrack editing technique', were applied to edit field strain histories for accelerated durability tests. Furthermore, four methods, including the 'S-N approach with fatigue property of base metal', 'Eurocode 3 approach', 'BS 5400 approach', and 'BS 5400 approach with Gurney thickness modification', were employed to assess fatigue life. Three road types and four damage levels were also used. The results demonstrated that the 'BS 5400 approach with Gurney thickness modification' is a suitable method of assessing the durability of welded motorcycle components when the fatigue properties of critical points are not available. Both the 'strain range editing technique' and 'racetrack editing technique' can effectively edit strain histories with the expected quantity of fatigue damage, and demonstrate satisfactory agreement between the experimental data and predicted data.

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Section: Introductionmentioning

confidence: 99%